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Imperial College London
The “Hyperfoods” technology takes a radically different approach by harnessing the power of network AI, huge volumes of biomolecular data and super-computing to identify unique properties of food biomolecules against development of diseases such as cancer or COVID-19.

It explores the “dark matter” of nutrition beyond the traditional analysis of five major nutrition categories (proteins, fats, carbohydrates, vitamins, and minerals).
healthcare,artificial intelligence,AI,medical research,hyperfoods,cancer,COVID-19,nutrition
Imperial College London
To address real-time anatomical mapping during surgical resection, we are developing a bioimpedance-based high-resolution tumor identification probe combined with a unique computation for constructing an intraoperative impedance map of the surgical field.
medical devices,medical diagnostics,microsurgery,microsurgical,tissue mapping,aneurysm,clipping
Oxford University Innovation
An efficient, high rate catalyst for generating hydrogen from water by visible light irradiation. Suitable for industrial-scale hydrogen fuel production. Also applicable for carbon dioxide recycling and ammonia synthesis.
Chemicals, Energy, Environment, Materials, Nanotechnology, Cleantech and Sustainability, Hydrogen, Solar. Solar-powered photocatalytic production of hydrogen Clean fuels energy photocatalysis. Photocatalytic splitting of water to form hydrogen Alternative clean-burning fuel to replace fossil fuels Hydrogen gas generated by water photolysis offers the cleanest chemical fuel. Water and sunlight are abundant and freely available. Water splitting and recombination cycle is pollution-free Facilitated charge separation. Charge recombination suppressed. High energy photon-exciton state maintained to drive water splitting Increased rate and efficiency of hydrogen production >50x higher rate than conventional methods >70% efficiencies N-doped Ti. O2 Improved visible light absorption N-Ti. O2 irradiation at high temperature and pressure in semiconductor crystal High enough hydrogen production efficiency for hydrogen fuel production in large industrial applications Applicable to other green technologies. Use for recycling CO2 to methanol and ammonia synthesis Facilitated charge separation Photocatalyst Visible light. Water Hydrogen High temperature and pressure H2O Semiconductor crystal photocatalyst panel Specific high temperature and pressure Clean fuel
Cambridge Enterprise
Developed by Professor George Malliaras and Dr Eleni Mitoudi Vagourdi at the University of Cambridge, this technology concerns cup electrodes for long-term recording. These electrodes outperform commercial electrodes and they stay hydrated for an extended period of time. Furthermore, they are biocompatible, easy and cheap to fabricate. The cup electrodes are very versatile and can be included in a range of wearable and clinical devices.
Electroencephalogram, EEG, electrodes
Imperial College London
DyeRecycle has developed a technology solution that offers a unique low-cost circular model for the extraction, recovery and recycling of dyes from textile waste.

A green chemical solvent selectively extracts the dyes from waste fibres, leaving a decoloured fibre as a clean, dye-free input appropriate for mechanical and chemical fibre recyclers.

Uniquely, the dye-rich chemical (following extraction) can be used as a dye bath to recolour new fabrics, or the dye can be extracted and sold on. This is the first technology to introduce the concept of recycled synthetic dyes.
Oxford University Innovation
Improved battery performance by predicting and diagnosing faults. Accurate health estimation and maintenance planning for large fleets of off-grid batteries. No service interruptions during data collection ensures that vital or inaccessible batteries do not need isolating from the system.
Sustainability, Electricals, electronics and communication, Energy, Environment, Research tools and materials, Software and computer services, Batteries
Cambridge Enterprise
Mental ill-health is a global concern that costs the UK economy £117.9 billion annually. Our tool utilizes innovative computerized adaptive testing technology to select a bespoke selection of the most informative questions for personalized, brief (under a minute) and precise assessment of mental distress. No more cumbersome and hours-long tests, no more choosing among a myriad of assessment tools with results hard to compare. The tool comes with an easy and accessible dashboard to help you distribute assessments, collate responses and organize reports.
Mental health
Oxford University Innovation
Specific activation and controlled release of drugs by radio-waves. Facilitates activation and release profiles for drug combinations. Ideal for targeted chemotherapy as well as other preventative and therapeutic treatments.
Drug delivery, Nanotechnology, Pharmaceuticals, therapeutics and drug discovery, Public health and primary care
Imperial College London
This technology uses a monolayer of sub-wavelength plasmonic nanoparticles on top of a conventional LED chip, which act as a ‘meta-grid’, placed within the chip’s usual encapsulating packaging. This process significantly improved light extraction across the LED chip/encapsulant interface by reducing the Fresnel loss, improving the overall performance of the device. By localizing the surface-plasmon-enhanced light transmission through this nanoparticle meta grid, LED light extraction efficiency is increased by 15-18%, which also then reduces internal heating of the LED chip caused by reabsorption of the reflected light.
plasmonic nanoparticle,LED,chip,light extraction,Fresnel loss,meta grid
Imperial College London
A silica-based supplementary cementitious material (SCM) produced from naturally abundant magnesium silicates such as olivine. The production process is carbon negative through the incorporation of CO2 mineralisation.
engineering,mineral resources,construction,silica-based supplementary cementitious material,magnesium silicate,olivine,carbon negative,CO2 mineralisation
Imperial College London
A novel endoscopic device for the acquisition of high resolution, polarization-resolved images of tissue allowing improved cancer detection.
medical device,medical imaging,medical technology,medtech,endoscopic device,endoscopy,high resolution, polarization-resolved image,cancer detection
Imperial College London
The architecture of the system is based on the use of more reliable, longer-lifetime diode-pumped solid-state fibre pump lasers. Through nonlinear mixing of the input light, mid-infrared pulses at 2.94µm is achieved, which have been optimised for precise ablation of tissue at the single-cell level.
medical imaging,healthcare,medical diagnostic
Cambridge Enterprise
Researchers in the Centre for Natural Material Innovation use design-led approaches to realise applications for renewable, energy-efficient and plant-based natural materials, in areas spanning construction to consumer goods, interior design solutions to sporting equipment. Aiming to optimise the functional properties of natural materials, the researchers aspire to change the way we use these materials at scale in our everyday environment. The exhibit will feature various projects conducted in the Centre, including sustainable cricket equipment, flexible wooden partition, and wooden kits of parts.
Materials<br><br>Sustainability<br><br>Natural materials<br><br>Renewable materials<br><br>Plant-based materials<br><br>Wood
Cambridge Enterprise
The H2Upgrade technology helps industrial companies that produce waste carbon containing compounds through manufacturing process to valorize their waste into high value products, save costs on waste disposal, and decrease their carbon footprint, by providing a system that converts waste gases into H2 and food grade CO2. Unlike other methods of generating H2, this solution is based on thermochemical water splitting using abundant iron and manganese containing materials and zero cost waste streams. The technology is a low cost, ‘plug and play' solution that can be integrated into existing manufacturing capabilities.
Waste valorisation<br><br>Hydrogen<br><br>Carbon dioxide<br><br>Iron<br><br>Managanese
17149 9883 11705
Oxford University Innovation
Maximised electrode performance, including greater power density, longer battery life and greater energy density. Tailorable electrode thickness by varying porosity. Can be manufactured from existing materials. Software available to suggest optimal arrangement of electrodes.
Consumer goods, Electricals, electronics and communication. Electrode design and optimisation Battery Automotive 17149 / 9883 / 11705 Design the optimal fraction and arrangement of the different electrode materials (11705)Maximises electrode performance including greater power density longer battery life greater energy density Layer by layer spray deposition of the four phases of electrodes (9883 11705) Allows the porosity and other characteristics to be varied in a controlled fashion through the electrode thickness. Electrodes can be graded in different ways (9883)Capacity increase of up to 70% over conventional lithium ionbatteries Scalable technology(9883 11705)Lithium ionbatteries manufacturers can spray electrodes from a variety of suspensions Compatible in a horizontal patch design (11705)Can be manufactured using existing infrastructure Software available (Project 17149) which can suggest the optimal arrangement of different electrode materials Reduces the need for trial-and-error approach for electrode structure cost effective
Oxford University Innovation
Accurate biomedical imaging and advanced quantitative analysis. Creates custom data analysis pipelines, makes spatially resolved measurements of physical and physiological processes for enhanced medical imaging and kinetic modelling.
Public health and primary care, Software and computer services. Quantiphyse: bioimaging data analysis software Bioimaging software MRI diagnosis 14419 Patented & available for: View navigate and interrogate 3D and 4D multimodal imaging data e.g.MRI. Advanced quantitative analysis Easy-to-use interface. Create custom data analysis pipelines Universal analysis tools:Clustering supervoxeland ROI generation. Curve comparison Make spatially resolved measurements of physical and physiological processes. Model-based or model-free methods Fast automated 3D ROI segmentation MRI analysis and modelling tools QuantiCEST for Chemical Exchange Saturation Transfer MRI. Arterial Spin Labelling MRI tools. Dynamic Contrast Enhanced Perfusion and Dynamic Susceptibility Contrast Perfusion MRI tools Useful in clinical research studies e.g.stroke and tumour imaging. Measure proton concentration and exchange maps. Generate perfusion-weighted images of blood delivery to tissues without contrast agent. Image maps and measurements of perfusion and haemodynamicsin absolute units Kinetic modelling Registration and motion correction. Inherently correct magnetic field inhomogeneities and contrast agent addition effects Direct interaction with underlying Python code. Extensible via plugins Time Z Quantiphyse software MRI data. Visualise and interrogate 3D & 4D MRI Automated ROI generation Quantitative analysis Physiological measurements: pH perfusion haemodynamics
Cambridge Enterprise
Developed by Professor Laura Torrente and Dr Collin Smith at the University of Cambridge, this technology concerns a new radial reactor design for the Haber-Bosch production of ammonia. Concentric chambers enable ammonia to first be absorbed then released in a controlled fashion with heat transfer efficiencies closely approaching thermodynamic limits. The technology may be of particular relevance to small scale (including containerized) ammonia production facilities, where it could offer significantly improved operational safety.
Ammonia<br><br>Heat efficiency<br><br>Heat transfer<br><br>Haber Bosch
15739 15740
Oxford University Innovation
Identification of patient groups at risk of disease progression and complications using a deep clustering network. This will improve patient risk stratification for intervention, medication and predication of comorbidities.
complex disease patient monitoring risk stratification deep clustering netowork representation and 2023 Deep clustering to phenotype complex disease Healthcare Patented &amp; available for: 15739/15740 Uses clustering methods that correct for sparse incomplete and noisy patient data. Applicable for routinely collected patient data ʹno additional measurements required Identifies patient groups at risk for disease progression and complications. Supports more personalised treatment of patient groups. Enables proactive healthcare for enhanced resource management and improved patient outcomes End-to-end pipeline: data collection pre- processing modelling phenotypic clustering patient risk stratification Automated modelling platform. Easy integration into existing healthcare settings Deep clustering network Automated modelling platform Identify clusters of signatures related to disease and comorbidities Stratify patients into phenotypic subgroups Phenotypic subgroups Improved risk stratification for: Medication Intervention Comorbidities Patient data Vital signs Wearable sensor Historical hospital data
Oxford University Innovation
Affordable device to enable epi-fluorescence, dark-field imaging and interference microscopy in bright-field microscopes. Compatible with DIC slot of standard bright-field microscopes. Backscattering dark field allows nanometre scale detail. Reflection imaging for surface analysis and fluorescence imaging without additional filters. Enables malaria diagnostics
Research tools and materials, Technology, hardware and equipment.DIC modules to expand the capabilities of traditional bright-field microscopes Microscopy hardware research tools 10429 Single modular device. Compatible with DIC slot of traditional bright-field microscopes. Simply and inexpensively add additional capabilities to existing light microscopes Backscattering dark field imaging module. Nanometre scale detail. Metal nanoparticle imaging Interference reflection imaging module. Monitor lipid bilayer formation. Monitor thickness and quality of thin film deposition on surfaces Do not need extra polarising prisms and special objectives Surface reflection imaging module. Visualise photolithography and surface changes of materials e.g.semiconductors. Do not need specific light-path configuration or purpose-made objective Epi-fluorescence module. Fluorescence detection without using additional filters DIC slot Epi-fluorescence Backscattering dark field Interference reflection Surface reflection Bright-field DIC module
Cambridge Enterprise
Degradation of active cathode materials such as NMC-811 is a major cause of capacity fade in modern Li-ion batteries. Techniques to mitigate this deterioration at scale by protective coating are hindered by damaging reaction conditions. Researchers at the University of Cambridge have developed a scalable method for coating NMC materials using molecular single source precursors, avoiding high temperatures and aqueous conditions that are damaging to the active material. Dramatically improved battery longevity without compromising capacity is therefore enabled, as well as opening the possibility of new coating chemistry not possible with traditional techniques.
Battery<br><br>Lithium ion<br><br>NMC coatings
Imperial College London
This relates to materials for interface layers for metal halide perovskite solar cells and a photovoltaic cell comprising an interface layer.

Metal halide perovskites are cheap, and simple to manufacture via a range of different fabrication process and techniques. Metal halide perovskites are commonly used as light absorbing layers in thin film solar cells, leading to the provision of low-cost, lightweight solar cells. Such metal halide perovskite solar cells (metal halide PVSCs) have emerged as a ground-breaking photovoltaic technology, with power conversion efficiencies (PCE) of 25.5% being realised for single-junction PVSCs. PVSCs have now surpassed the efficiency of commercialised thin-film solar cells (such as cadmium telluride, CdTe, or copper indium gallium selenide, CIGS) and approach the efficiency of state-of-the-art crystalline-silicon solar cells.
Solar cell,Solar panel,Perovskite,Perovskite solar cell,Metal halide,Organometallic,Photovoltaic cell,Green energy,Renewable energy,Inverted perovskite solar cell,Organometallic interface,Ferrocene,Thiophene,Solar energy,Wearable
Imperial College London
A new method to change the state of individual magnetic nanoparticles within a dense array using a low cost, low-power laser for data storage technology and potential application in neuromorphic in-memory' computing.
magnetic,nanoparticle,dense array,data,storage,neuromorphic,computing
7793 8716
Imperial College London
ArterioWave is a novel ultrasound-based tool for screening and monitoring those at risk of, or suffering from, heart failure. It can be used by non-specialists. It can be implemented on ultrafast scanners, conventional scanners or handheld devices.
medical diagnostic,medical technology,ArterioWave,ultrasound,heart failure,ultrafast scanner,handheld device
Imperial College London
This novel technology can upcycle polyethylene terephthalate (PET) plastic waste into high-quality building block terephthalic acid (TPA) while co-generating green hydrogen. The technology comprises the prototype and process to achieve full conversion of plastic waste with > 95% yield to terephthalic acid, and generates hydrogen with 50% less electricity consumption than the state-of-the-art water electrolyser technology. The high purity terephthalic acid can be reused to produce virgin PET plastic, and the clean H2 can be used as reactant or high energy carrier in chemical industry to help in decarbonising the sector.
Oxford University Innovation
Assesses movement patterns instead of stand-alone, static images for dynamic imaging of joint movement in real time. Fast and convenient testing with ultrasound. Bone segmentation algorithm reduces false probability responses and integrates with kinematics descriptor proposed by the International Society of Biomechanics.
e-Health, Medical devices and medical supplies, Public health and primary care, Software and computer services, Technology, hardware and equipment. Joint tracker for improved joint replacement outcome. Joint kinematics medical imaging joint replacement 11979 Dynamic imaging of joint movement in real time.Joint health assessed by movement patterns instead of stand-alone static images. Test time ~3-5 mins.Fast and convenient. Programmable and storable tracking.Expanding database of movement tracking for future reference. Ultrasound imaging and motion capture widely used for other applications. Reliable trusted and safe techniques. No CT scan required. Automatic bone segmentation algorithm.Reduces false probability responses. Globally optimal iterative closest point (ICP) surface registration algorithm. Joint rotation measurable by kinematics descriptor proposed by International Society of Biomechanics. Ultrasound. Joint Movement Markers Motion analysis Joint Tracker
Imperial College London
GluNet is a framework that leverages deep neural networks for accurate blood glucose forecasting through the utilisation of continuous glucose monitoring (CGM) and routinely collected diabetes management data, such as glucose measurements, meal intake and insulin dosage information. It also allows the utilisation of additional information collected through wearable technologies such as physical activity bands.
Healthcare,medical technology,deep learning,glucose monitoring,diabetes,diabetic,neural network,blood glucose,insulin,GluNet,
Imperial College London
EndoDrone is a novel robotic optical biopsy scanning framework designed to improve the sensitivity of gastrointestinal (GI) endoscopy by automated scanning and real-time classification of wide tissue areas based on optical data. A “hot-spot” map is generated to highlight dysplastic or cancerous lesions for further scrutiny or concurrent resection. The device uses hyperspectral (HS) optical biopsy and works as an accessory to a conventional endoscope. The device is compatible with the anatomical dimensions of the colon and the oesophagus.
medical device,medical diagnostic,medtech,surgical robotic,EndoDrone,robotic,optical biopsy,biopsy,gastrointestinal,endoscopy,automated scanning,optical data,dysplastic,cancerous,resection,hyperspectral optical biopsy,endoscope,colon,oesophagus
Cambridge Enterprise
Developed by Professor Matthew Juniper and Alexandros Kontogiannis at the University of Cambridge, this technology relates to a method for analysing magnetic resonance velocimetry (MRV) flow data obtained from magnetic resonance imaging (MRI). The method is able to convert sparse signal MRV data into a noiseless simulation that represents the original image, reducing the amount of input MRV data required. The technology has the potential to reduce MRI scan times, and also enables an accurate estimation of wall shear stress which could in turn allow new diagnoses.
Magnetic Resonance Velocimetry, MRV<br><br>Magnetic Resonance Imaging, MRI <br><br>Imaging
Oxford University Innovation
A minimally invasive alternative to vaginal mesh surgery for stress urinary incontinence. Needle allows for targeted delivery of T-bar sutures, allowing shorter surgery and recovery times with no permanent material left behind.
Healthcare, Surgery, Colposuspension, Incontinence
Cambridge Enterprise
Starting radiotherapy promptly improves cancer survival rates and reduces anxiety in newly diagnosed patients. But before any radiotherapy can take place, the oncologist must spend a significant amount of time – one or two hours per patient – making sure the radiation will be delivered to the correct part of the body without damaging any healthy tissue.<br><br>Osairis is a cloud-based, open-source, machine learning tool for automatic segmentation of radiotherapy images which can carry out this preparation as well as an expert clinician in just a few minutes. This means the doctor's time is freed up, enabling them to get patients onto treatment more quickly.<br><br>The tool has been helping cancer patients in Cambridge since 2018.
Radiotherapy<br><br>Oncology<br><br>Machine Learning

Cambridge Enterprise
Transition metal dichalcogenides (TMDs) e.g. molybdenum disulfide, are a class of 2D materials whose metallic forms are ideal candidates for next-generation device applications such as field effect transistors or hydrogen evolution reaction catalysts. This technology concerns a route to achieve the phase transition using safer chemicals, lower temperatures and which is orders of magnitude faster than the conventional approach creating a milder, safer, greener, higher-yielding reaction.
Imperial College London
The invention is a new generation of ion exchange membranes with high ion conductivity, high ion selectivity, that can be scaled up at low cost. The membranes are designed to maximise the performance and durability of redox flow batteries, proton exchange membranes (PEM) and anion exchange membranes (AEM) water electrolyzers and fuel cells, and electrochemical reactors.
ion exchange membranes,ion conductivity,ion selectivity,redox flow batteries,battery,proton exchange membranes,anion exchange membranes,water electrolyzers,fuel cells,electrochemical reactors
16879 17132
Oxford University Innovation
Fast and accurate ECG interpretation improves detection of heart disease. Lowers misdiagnosis rates, informs better treatment sooner, low cost and does not require specialised knowledge. Continuous improvement of models over time by integrating new patient data (i.e., wearables).
ECG, Healthcare, heart disease, patient monitoring, AI, deep learning, machine learning, neural networks, diagnosis. Novel neural networks to classify heart disease from electrocardiogram (ECG) data Healthcare 16879/17132 ECG waveform interpretation using novel deep-neural networks. Lower rates of ECG waveform misdiagnosis than clinician interpretation and current computer-aided interpretation algorithms. Earlier and better-informed treatment Self-configuring automatic generation of neural networks. Fast neural network design and generation. Low computational cost. Does not require experienced practitioners Ability to integrate new patient data as it is collected. Continuous improvement of models over time Use in clinical and consumer settings (i.e. through wearables)Broad technological reach Deep-neural network Fast and accurate data interpretation Disease stage classification Automatic generation as new patient data is collected and integrated Improved detection of cardiovascular disease Patient data waveform Electrocardiogram (ECG) Breathing rate (wearable sensor) Comorbidities Better treatment and patient outcomes
Oxford University Innovation
A photocatalyst that enables sustainable, decentralised ammonia production to address the challenge of feeding a growing population. Highly efficient, minimally energy intensive and atomically economical, this technology offers an alternative to the Haber-Bosch process.
Sustainability, Chemicals, Environment, Food and drink, agriculture and fishing, International development, Nanotechnology, Chemistry, Catalyst, Agriculture, Agtech, Cleantech and Sustainability. Solar-powered efficient photocatalytic ammonia production Agriculture crop science environment chemistry food security. Sustainable photocatalytic ammonia production. Global food production relies on ammonia-containing fertilisers Centralised Haber-Bosch (HB) process for artificial nitrogen fixation is carbon intensive Accounts for 1.8% of global CO2 emissions. Promotes renewable and decentralised local ammonia production. No sacrificial agent e.g.methanol formaldehyde High catalytic and quantum efficiency. Efficient nitrogen production using visible light (as low as 0.7W) Efficiency of >3% and rate of >500µM/g/hour at room temperature Low energy No high temperature or high pressure Can be used to fix nitrogen compounds and for carbon capture technology Photocatalytic fixation of carbon into nitrogen-containing compounds e.g.amino acid production from CO2 and CH4 under light activation N2+ H2O Mo. S2 semiconductor doped with N-containing compounds Increased exciton lifespan Photocatalysis Ammonia. Fertilisers Enhance crop yield Feed growing population Room temperature and pressure Normal solar light levels Energy efficient and environmentally friendly Applicable to nitrogen fixation and carbon capture NH3+ O2
Oxford University Innovation
Increased battery life and power output using iron fluoride nanorods. Reduces charge time, withstands power surges, safer than conventional organic electrolytes and integrates with current renewable energy sources.
Chemicals, Consumer goods, Electricals, electronics and communication, Energy, General industrials, Research tools and materials, Technology, hardware and equipment. Advanced fluoride-based materials in lithium-ion batteries Batteries 17051 High cycling stability (~100% Coulombic efficiency after 200 cycles at 40-50°C)Long battery life. Withstands sudden power surges. Safer than conventional organic electrolyte systems Simple fabrication. Easy to make and replace High practical charge/discharge rate (~700 m. Ah/g discharge capacity after 200 cycles at 40-50°C) Short charging time. High power output. Efficient energy transfer Long battery life. Integrates well with renewable energy sources Li+ Anode (graphite) Li+ conducting electrolyte Cathode (Iron fluoride nanorods) e- e- +-
Cambridge Enterprise
Researchers at the University of Cambridge has developed a new, high-performance cathode material for lithium-sulfur batteries – an emerging technology that enables high-capacity, light weight batteries. This could allow electrification of current weight-critical technologies, and opens up new applications such as powered flight. This latest advance gives exceptional capacities both per weight and per volume by combining several key functionalities in one material.
Batteries<br><br>Lithium ion batteries<br><br>Lithium-Sulfur batteries
Cambridge Enterprise
An AI-guided solution for early dementia detection and for robust prediction of individualised disease progression using patient information and MRI scans. <br><br>Our tool allows to:<br><br>•support clinicians in early diagnosis and patient management decisions, <br><br>•plan tailored interventions to individual needs, <br><br>•inform patient selection for clinical trials.<br><br>We have a working prototype validated across multiple international cohorts (e.g. NIMROD, BACS) and successfully tested on retrospective real-world patient data from UK memory clinics.
Dementia<br><br>Machine Learning
12808 10073 15506
Oxford University Innovation
More accurate methods to measure breathing rate to improve patient monitoring. Corrects for noise using probabilistic framework and faster than manual measurements recorded by clinicians. Data can be constantly collected for consistent monitoring. Applicable to clinical and consumer settings (e.g. wrist-worn wearable accelerometers).
healthcare e-health breathing rate wearables patient monitoring probabilistic framework representation and 2023 Robust and accurate methods to estimate breathing rate Healthcare Patented &amp; available for: 12808/10073/15506 Robust and automated respiratory rate measurement using novel methods. Improves patient monitoring: more accurate than current methods for measuring respiratory rate. Time-saving compared to manually counting chest movements. Constant and convenient data collection. Robust and reliable in the presence of noise and artefacts Applicable to clinical (e.g. ECG PPG camera) and consumer settings (i.e.wrist- worn wearable accelerometers) Broad technological reach. Able to incorporate data from both wearables and hospital equipment to further improve accuracy Wearable accelerometer Signal processing Highly accurate breathing rate measured Probabilistic framework Hospital data e.g. Electrocardiogram +
Cambridge Enterprise
Developed by Professor George Malliaras and Tobias E. Naegele at the University of Cambridge, this technology concerns a drug delivery device based on an electrophoretic pump and designed to adapt to the needs of the brain tumour field. The device is able to deliver a high concentration of charged molecules into the brain with negligible local pressure increase, an important advantage over direct injection of cancer drugs into tumours (convection enhanced delivery). It also enables modulation of the dosing regimen tailored to the profile of the therapeutic compound and can sense and monitor informative parameters. The device characteristics can be adapted for other types of solid tumours.
drug delivery<br><br>gliomas

Cambridge Enterprise
At CRSD we bring together leaders from the public, private and third sectors with academic thought leaders to create robust new, workable solutions to some of the world's most complex challenges. We use tools and innovative techniques which cut across systems, organisational and behavioural science. Together we can co-create sustainable and resilient solutions in the following areas:

Sustainable Investment – bringing together Investors, Investees and Regulators to share best practice and cut to the heart of issues to drive investment to improve sustainability

Good Governance – the golden thread which transcends resilience. We identify power relationships and work across stakeholder groups to test intended and unintended consequences to improve outcomes

Responsible Innovation – we help to support and accelerate leadership and business models which support key transitional initiatives across the ESG spectrum to ensure policy and financing is in lockstep with new technologies and techniques

Our action based research seeks to deliver actionable insights based on evidence and consensus
Cambridge Enterprise
A new wireless vital signs monitoring system for use in neonatal intensive care units has been developed by Dr Kathryn Beardsall and Dr Oliver Donner at the University of Cambridge and Cambridge University Hospital. Preterm babies may be in hospital for many months and parents and staff frequently report that the wired sensors limit physical contact and create physical and psychological barrier to care.<br><br>Wireless monitoring reduces these barriers, allowing increased physical contact between parent and child which has been shown to increase breastfeeding rates, reduce length of stay and improve neurodevelopmental outcomes. The system has been successfully tested on 30 babies.
Wireless monitoring<br><br>Neonatal
Imperial College London
A novel device that can be fitted to home-care appliances to generate hydrogen peroxide or bleach, effectively producing a ‘self-cleaning’ appliance.
Cambridge Enterprise
The loss of 6.9 million lives in the ongoing COVID-19 pandemic has highlighted that there is a critical need for simple, affordable, and scalable tools to detect new emerging infectious disease outbreaks as early as possible. Bloodcounts! Is a novel tool that uses artificial intelligence to detect new disease outbreaks. A “Tsunami-like” early warning system which uses the world's most common medical laboratory test, routine full blood count. The tool scans for abnormal changes in the blood of large populations alerting public health agencies to potential outbreaks of infections without prior knowledge of the pathogen.
Blood counts<br><br>Infectious diseases<br><br>Public health<br><br>Machine learning<br><br>Artificial Intelligence, AI
Imperial College London
MyoLoop is a device that simulates the synchronised mechanical and electrical events that occur in the heart inside the body (in vivo), on an in vitro heart model known as myocardial slice (MS). The system is self-contained, and designed for chronic experiments, that is culture of myocardial slices. MyoLoop can simulate pathological conditions (e.g. hypertension), to study their progression, and the effects of therapeutic interventions on them.
biotechnology,medical research,MyoLoop,medical device,mechanical event,electrical event,heart,myocardial slice,chronic experiment
Cambridge Enterprise
The plastics industry highlights recycling as the principal solution to the growing problem of plastic waste. However, recent reports highlighting the microplastic waste formed at even modern recycling plants indicates that other solutions are still needed. At IP4U we will present a single reactor technology that allows for the enzymatic regeneration of monomers from polyesters, and their subsequent conversion into hydrogen and high value liquid by-products.
Oxford University Innovation
Efficient carbon dioxide fixation by rhodopsin photosynthesis in engineered bacteria. Sustainable means of reducing carbon emissions, producing biofuels and other biological products, and treating water.
Cleantech and sustainability, water purification, Agtech
Cambridge Enterprise
The capture of CO2 from industrial emissions or directly from the atmosphere generally uses solid or liquid absorbents such as metal hydroxides or monethanolamine. In a fundamentally novel approach to CO2 capture, Dr Alex Forse and co-workers from the University of Cambridge have developed a class of sorbent materials in which the ability to absorb and desorb CO2 is controlled by electrochemistry. Traditional absorbents have been chosen because of their ability to strongly attract CO2 - but they also do not release it easily and often<br><br>require heating to several hundred degrees Celsius. In contrast, the charged sorbents release CO2 at <100°C.
Carbon capture<br><br>Carbon dioxide<br><br>CCUS<br><br>Electrochemistry
Oxford University Innovation
A nano generator that simply and affordably converts kinetic energy to electricity. Broad applications across various industries, including transport, digital health and electronics. Ferroelectric generator harvests kinetic energy from vibrations from rigid materials. Triboelectric generator harvests kinetic energy from friction and compression of pliable materials.
Energy, Energy harvester, Transport, Clothing, Kinetics
10915 - 11332
Imperial College London
Lignin is a low-cost and renewable alternative precursor, as it is a readily available by-product of paper making and biorefining. Lignin is attractive for its sustainable origin, low cost and relatively high fibre yield after carbonisation. Over 70 million tonnes of lignin are extracted each year during paper and pulp manufacture. Extracted lignin is currently mostly burned for generating heat and electricity rather than value-added products.
Sustainable Carbon Solutions,Renewable,carbon fibres,Circular Economy,Bioenergy,Lignin,Sustainability,Biorefinery,Feedstocks
Oxford University Innovation
MRI technique that compensates for heart rate and breathing to produce accurate and high resolution images. Improves identification of cardiovascular disease symptoms without affecting the BOLD magnitude. Also applicable for liver and kidney imaging.
Applications: Protein detection, protein quantification, protein assaying. Enhanced blood oxygen level-dependant (BOLD) MRI imaging Cardiovascular disease MRI imaging 15654 Patent filed. Blood oxygen level-dependant (BOLD) imaging.Identifies symptoms of cardiovascular disease. Normalisation of BOLD images by interleaved fast low angle shot (FLASH) images. High resolution and accuracy. Magnitude of BOLD effect unaffected. Applicable for abdominal organs.Clear images of liver and kidneys without breath hold disturbance. Improved BOLD image BOLD image Fast low angle shot (FLASH) image MRI Scan Normalisation
Imperial College London
This technology relates to a new minimally invasive surgical instrument – a rotative surgical clip and applicator that allows the clamping of large anatomical areas for use in minimally invasive surgery.
medical device,medtech,medical technology,minimally invasive,surgical instrument,surgery,rotative surgical clip,applicator,clamping,large anatomical areas
Imperial College London
A novel high-strength clogging resistant permeable pavement (CRP) has been developed at Imperial College London. The key innovations of this pavement are:<br><br><br>- A new engineered pore structure with low tortuosity, which increases the permeability, reducing the probability of sediment clogging, improves freeze-thaw resistance and increases the strength.<br><br>- It utilises a higher strength self-compacting cementitious mix, which also improves the freeze-thaw durability.
resistant permeable pavement,pavement,pore structure,low tortuosity,sediment clogging,self-compacting cementitious mix
Imperial College London
The Acoustic Sub-Aperture Imaging (ASAP) technology is developed by a team led by Prof. Mengxing Tang. ASAP enhances vascular imaging by reducing noise and increasing the strength of Doppler signal.

ASAP generates better ultrasound images by adjusting the signal processing chain. Specifically, the ASAP method splits the signal received by the ultrasound transducer into two sets before image reconstruction. Signals in both sets are then compared to reduce the uncorrelated noise. As a result, the ASAP process boosts the contrast of the reconstructed vascular structures.
healthcare,medical imaging,acoustic Sub-Aperture Imaging,vascular imaging,Doppler signal,ultrasound,image,signal processing chain,ultrasound transducer,image reconstruction,vascular structure
Oxford University Innovation
A breakthrough in hydrogen production: Morphologically-controlled silver nanoparticles replace platinum, lowering costs and increasing efficiency.
Energy, Environment, Materials, Nanotechnology, Cleantech and Sustainability, Hydrogen, Electrolysis. Silver electrode for electrochemical production of hydrogen Clean energy renewable energy hydrogen production electrolysis 15629 Silver electrode treated with surfactant-salt solution.More abundant and cost-effective than platinum/carbon electrodes. Higher applied potential compared to platinum/carbon electrodes.Increased rate of hydrogen production. Produces pure hydrogen.Clean and renewable energy source. Potentially applicable for recycling carbon dioxide into methanol. Green conversion of harmful greenhouse gas into a carbon-neutral fuel. Potentially applicable for green ammonia synthesis.Renewable production of key agricultural commodity. Membrane. Silver electrode Cathode. Anode+- Oxygen. Hydrogen Silver electrode Hydrogen peroxide solution Large-scale H2 Production

Cambridge Enterprise
Video-microscopy of blood vessels in the eye is difficult due to their movement out of the plane in which they are being analysed. Quick manual microscope refocusing is required to follow them but this is a skill which typically takes many years to master.

By introducing an automated refocussing process, the need for manual input is avoided and vascular flow can be readily studied over much longer time periods than has traditionally been convenient.
Oxford University Innovation
A scalable method using microwaves and catalysts to efficiently recycle difficult plastics into valuable molecules.
Sustainability Cleantech and Sustainability Chemistry Chemicals Materials Recycling Catalyst
Oxford University Innovation
This method can be utilised for neurological diseases such as Parkinson's Disease, where symptom-related oscillations have already been identified. Alternatively, the system could be used to aid control of or feedback from prosthetic devices.
Electricals, electronics and communication, Medical devices and medical supplies, Software and computer services. Neurological diseases, Parkinson's. Real-time phase tracking and manipulation of neuronal oscillations neurological diseases Parkinson's disease prosthetic feedback 15929 Real-time fast low power method to track neural signal phase. Allows precisely timed control of neural tissue stimulation for an effective way to modulate and manipulate brain activity Phase tracking of oscillations over a large range of frequencies including above 30Hz. Allows study of brain signals which wax and wane on a sub-second timescale Track oscillations using non-invasive / invasive (EEG and local field potentials)Highly adaptable to a wide range of applications Agnostic to stimulation type. Applicable to non-invasive optogenetic or deep-brain stimulation "Closed-loop" function. System adapts to fluctuations in amplitude phase and frequency of brain signals Study neurological diseases where symptom- related oscillations exist e.g. Parkinson's disease Real-time manipulation of oscillatory biological signals. Offers potential control of disease related brain activity with far higher precision than current methods

Cambridge Enterprise
The “electronic nose” is inspired by the human olfactory system, aiming to emulate our sense of smell by combining sensor technology and molecular recognition. Single sensor devices are limited in detecting complex chemical environments and therefore sensor arrays have been developed, each specialized in detecting specific molecular species, for analysis using pattern recognition algorithms.

The electronic nose is not limited by chemical specificity, form factor or cost; complex chemical environments can be analysed in compact and low-price devices.
Oxford University Innovation
Improved patient risk stratification for proactive rather than reactive healthcare. A framework for accurate patient risk prediction from sparse and varied patient data, including from wearable health monitors.
Biomarkers and diagnostics machine learning early warning system machine learning
Cambridge Enterprise
Developed by surgeon-scientist Dr Damiano Barone, Professor George Malliaras and Ben Woodington at the University of Cambridge, this technology concerns a recording/stimulating circumferential device that bypasses brain-peripheral nerve and spinal cord injuries, restoring the function of those organs. This device can use closed-loop control signals and is able to access the ventral spinal cord, which translates to an increased target area, higher efficiency for motor activation and selectivity. It also addresses further limitations in the field by using materials that don’t cause iatrogenic injury and by expanding the spinal cord areas that can be targeted.
spinal cord injuries
Cambridge Enterprise
The partitions are made entirely of wood using a technique called kerfing, so will generate little carbon during their life cycle. The wooden partitions could be retrofitted to offices and houses meaning they would no longer have to be completely gutted every time the space is to be changed. Instead of throwing partitions away they can be easily stored unlike traditional material. This will of course dramatically reduce waste.

The partitions are not expensive to make, so if adopted on mass they should make housing more affordable.

The partitions are light weight, flexible and easy to store. Hence, using these instead of traditional materials makes housing far more adaptable.
Sustainability<br><br>Sustainable development<br><br>Social innovation<br><br>Machine learning
Oxford University Innovation
Prevents diaphragm muscle atrophy in patients using ventilators in ICU, Shortens patients' stay and improves patient recovery. Non-invasive electrode is faster, easier to use and safer than existing invasive electrodes. Closed loop monitoring of mechanical and electrical processes including airway pressure, diaphragm EMG and lung sound.
Healthcare, Intensive Care, Ventilators, respiratory disease, diaphragm dysfunction
Oxford University Innovation
Algorithm-assisted prediction of patient risk levels and care pathways, admission numbers and staffing levels to optimise use of resources. This will improve patient flow, supply proactive healthcare and increase staff availability.
patient monitoring hospital management resource optimisation representation and 2023 Patient monitoring Intelligent patient flow management system for hospitals and emergency departments Patient management hospital resource management 15840 Resource optimisation Algorithm-assisted prediction Physiological measurements Hospital data Admission numbers Staffing levels Patient risk levels Discharge rankings Care pathways Improved patient flow Proactive patient care Increased staff availability for care End-to-end solution for improving patient flow across hospitals:predicts admission numbers staffing levels care pathways and patient risk levels Automates operational decisions. Enables proactive patient care Supports efficient resource usage Prioritises discharge of patients. Frees up hospital beds for new high-risk patients Uses machine learning models trained on historical data. Enables decision-making based on robust predictions and recommendations
Oxford University Innovation
Cost-effective, reliable and noiseless power generation from wind or water. Gearless electrical generator is compatible with existing induction motors without need of rare earth metals and custom small volume components.
Electricals, electronics and communication, Energy, Software and computer services, Technology, hardware and equipment, water purification, engineering. OxReGenrotary renewable generation: turning common induction motors into efficient economic low-maintenance gearless electrical generators Clean energy electricals social ventures Patented and available for: 13109 Gearless electrical generator. Compatible with common induction motors powered by renewable energy Cost effective power from wind or water. Replace expensive mechanical gearing in current systems Uses existing induction motor technology. Inherent magnetic non-linearity exploited in a novel way Cost effective and competitive. Rugged and reliable (monitored using SIM big data network)Scalable (kW to over 10 MW size motors)No rare-earth metals. No corrodible commutator No mechanical gearing Electrical gear box No expensive custom small volume components. Fewer parts so more reliable and low maintenance Noiseless Reduced head weight. Improves safety of tower On-and off-grid power generation. High community acceptability Renewable energy source drives induction motor Gearless electrical generator Patented Renewable energy Energy storage Heat and water purification Design complete 1/4/23 Laboratory demonstration System manufactured System shipped to test site System install in Somalia 1/4/24 Partners: Wind turbine mini-grid pilot in Somalia Grant won: £276809 Funding: Pilot status