Minutes of the Invention for Innovation (i4i) Programme Sub-Committee Meeting to discuss applications to Product Development Awards (PDA) Call 24 Stage 1
Date and Location
Meeting held on Tuesday 26 July 2022 via Zoom Virtual Meeting
In attendance
Sub-Committee
Ms Emma Palmer Foster (Chair)
Professor Paul Sibbons (Deputy Chair)
Mr Charles Spicer (Chair)
Professor David Hawkes (Deputy Chair)
i4i Secretariat
Professor Mike Lewis (Programme Director)
Mr Ben Patient (Director of Innovations)
Dr Ruth Nebauer (Assistant Director)
Dr Andrew Barber
Ms Ami Hodges
Mr Alex Zabala Findlay
Dr Ian Newington
Dr Heike Miess
Mrs Paula Milton
Mr Antonio Ruiz
Ms Rebecca Stevens
Dr Francesca Troiani
Mr Edwin Tucker
Ms Kasia Zmarzly
Stage 1 applications invited to submit to Stage 2:
NIHR204505: Artificial Intelligence (AI) tool for measuring eczema severity in all skin tones
Outcome: Invite to Stage 2
NIHR204508: Wound Imaging Software and Digital platfOrM to detect and prioritise non-healing surgical wounds (WISDOM)
Outcome: Invite to Stage 2
NIHR204512: Developing an Artificial Intelligence Augmented Diagnostic MRI-based Strategy for Patients with Suspected Occult Scaphoid Fractures of the Wrist (AID-Wrist)
Outcome: Invite to Stage 2
NIHR204515: Prognosis of epilepsy using at-home EEG: proof-of-concept to final prototype
Outcome: Invite to Stage 2
NIHR204516: Evaluating the impact of clinically underpinned gamification and animation children and family mental health outcomes
Outcome: Invite to Stage 2
NIHR204521: Development of a deep learning algorithm for the recognition of ear pathology in children and young people
Outcome: Invite to Stage 2
NIHR204527: The first Primary Care Clinical Assessment Platform (PC-CAP) for minor illnesses, designed for and with Allied Health Professionals
Outcome: Invite to Stage 2
NIHR204541: Guided Insertion of Tracheostomy tubes (GIFT) – a device development study
Outcome: Invite to Stage 2
NIHR204544: Can a SmartBandage incorporating novel sensing technology guide non-specialists to apply compression bandages correctly, supporting step-change improvements in healing times for venous leg ulcers?
Outcome: Invite to Stage 2
NIHR204549: MS3: AI based Microsatellite Stability Screening of Colorectal and Endometrial Cancers
Outcome: Invite to Stage 2
NIHR204551: Early Diagnosis of Systemic Sclerosis in the General Rheumatology Clinic
Outcome: Invite to Stage 2
NIHR204553: LifeMap – Quality-assurance User-focussed Evaluation of Safety and Tolerability (LifeMap-QUEST) : developing LifeMap-Vest and LifeMap-Compute for exercise assessment with optimised digital ECG recording for sudden death risk stratification
Outcome: Invite to Stage 2
NIHR204557: Artificial Intelligence Multi-modal Data Integration: Application to Thyroid Disease Prediction
Outcome: Invite to Stage 2
NIHR204560: Clinical Validation Study of the Seton-Scaffold Device for the treatment of Fistula-In-Ano
Outcome: Invite to Stage 2
NIHR204562: Breakaway Chest Drain Valve
Outcome: Invite to Stage 2
NIHR204566: Development and pre-market evaluation of AI-assisted dental disease detection with radiography
Outcome: Invite to Stage 2
Stage 1 applications not invited to submit to Stage 2:
NIHR204494: Brain-only, High Resolution Magnetic Resonance Scanner
Outcome: Reject
NIHR204497: Bioradiomics: Monoclonal Antibody Enabled Biological Imaging Platform
Outcome: Reject
NIHR204499: COMPUTATIONAL FLUID DYNAMICS IN AIRWAYS – A CT IMAGE BASED MODELLING AND CLINICAL CORRELATION TO AIRWAY DISEASES IN CHILDREN
Outcome: Reject
NIHR204500: Smart sleeve technology and data analysis to improve patient experiences and clinical outcomes for knee treatment
Outcome: Reject
NIHR204502: Customisation of Diagnosis, Progression Follow-up and Treatment of Corneal Ectasia Using AI
Outcome: Reject
NIHR204506: Clinical translation and commercialisation of ORBIT (Online Remote Behavioural Intervention for Tics): creating a patient-ready product to improve access to behavioural therapy for children and young people with tic disorders
Outcome: Reject
NIHR204509: SAFIRA: Safer Injection For Regional Anaesthesia: creating a user-friendly device that makes the administration of regional anaesthesia safer, more controlled and cost effective.
Outcome: Reject
NIHR204510: AI-based analysis of continuous temperature data streams to predict and characterise COPD exacerbations.
Outcome: Reject
NIHR204511: Automated prediction modelling for decision-support in healthcare (Pre-MeD)
Outcome: Reject
NIHR204513: Using Artificial Intelligence to support decisions that reduce the risk of developing chronic kidney disease and cardiovascular disease complications for People living with Type 2 Diabetes
Outcome: Reject
NIHR204514: A new instrument for respiratory diagnostics through tidal breathing analytics
Outcome: Reject
NIHR204520: Speech-based Identification of Cognitive Decline; A New Platform for Predicting MCI to Dementia Progression
Outcome: Reject
NIHR204522: Digitally-enabled holistic care for Parkinson’s
Outcome: Reject
NIHR204523: AX1 Axiometer – a non-contacting, handheld meter for the diagnosis and monitoring of myopia
Outcome: Reject
NIHR204524: Artificial intelligence-assisted magnetic resonance imaging for quality, efficiency and
equity in the NHS care of multiple sclerosis (Assist-MS)
Outcome: Reject
NIHR204525: Revolutionizing metastatic cancer diagnosis
Outcome: Reject
NIHR204526: Novel, portable, cold-chain-free direct detection of viral pathogens at point-of-need for managing current and future outbreaks of respiratory or blood borne viral diseases within the UK NHS and healthcare system
Outcome: Reject
NIHR204528: OrthoSense
Outcome: Reject
NIHR204529: An automated, super resolution imaging device to directly detect infectious diseases.
Outcome: Reject
NIHR204530: Development of a Lightweight Augmented Reality Neuro-Navigation System to Improve Surgical Accuracy Over Existing Methods
Outcome: Reject
NIHR204531: Point of Care Antibiotic Monitoring System (PRECISE)
Outcome: Reject
NIHR204532: Using Computer Vision and Artificial intelligence techniques to monitor, predict and prevent diabetic foot ulcers
Outcome: Reject
NIHR204533: Advanced prototyping of Electronic Drug Delivery System
Outcome: Reject
NIHR204534: MediSense: an artificial intelligence based clinical decision support tool for mobile intensive care transports in critically ill children
Outcome: Reject
NIHR204536: Development of a next-generation gynaecological drug delivery device for miscarriages and IVF application
Outcome: Reject
NIHR204537: AGITIX - co-designed and validated sensor-instrumented 'smart' socks for monitoring physiological responses in people living with dementia to reduce distress and agitation
Outcome: Reject
NIHR204538: Artificial intelligence to detect Human Papillomavirus in cancer diagnosis
Outcome: Reject
NIHR204539: A product design and validation project for OliTool, a 'smart' system supporting primary school children develop social and emotional literacy and self-regulation skills for mental health and wellbeing
Outcome: Reject
NIHR204540: The AIRMACH study: Artificial Intelligence for Risk-Stratification and Monitoring of Adult Congenital Heart Disease
Outcome: Reject
NIHR204542: In Human Feasibility Trials and Usability Development for 1View – Augmented reality software and platform for inter-operative guidance during Mechanical Thrombectomy (MT) procedures - Giving Stroke victims a better chance
Outcome: Reject
NIHR204543: Development of the Leukocyte ImmunoTest(TM) System for rapid monitoring of sepsis in Intensive Care
Outcome: Reject
NIHR204546: Developing metabolomics based risk stratification algorithm for cardio metabolic health assessment
Outcome: Reject
NIHR204547: Pandra: A low-cost platform for earlier non-alcoholic fatty liver disease diagnosis
Outcome: Reject
NIHR204548: ReTendon: First in man clinical trial of a novel tendon repair device that accelerates healing and reduces re-rupture of tendons
Outcome: Reject
NIHR204550: POC AI Breath test to predict and prevent asthma attacks.
Outcome: Reject
NIHR204552: Clinical Development of a Pressure and Flow Sensing Microcatheter for Complete Coronary
Physiology
Outcome: Reject
NIHR204554: Developing, testing and validating personalised plans of care and support for people with multiple long term conditions, as part of a shared decision making process between healthcare professionals and patients.
Outcome: Reject
NIHR204555: Quantitative Intraoperative Perfusion Assessment for Colorectal Surgery
Outcome: Reject
NIHR204556: Development of a point of care test for early detection of acute kidney injury in critical care
Outcome: Reject
NIHR204558: Smart Point-of-care Technology for Routine Detection of Alzheimer’s Disease
Outcome: Reject
NIHR204559: MSI-based AI-assisted histopathology (MSIAH)
Outcome: Reject
NIHR204561: Nirvyu-OTI: An optical personalised monitoring system for Rheumatoid Arthritis
Outcome: Reject
NIHR204563: Flow guided with AI for Safe and Timely Treatment: FASTT study
Outcome: Reject
NIHR204564: Validation of Image acquisition guidance and performance using POqUS from ultrasonography for carotid and vertebral stenosis
Outcome: Reject
NIHR204565: Remote assessment of speech and language skills for inclusion in clinical models of care, SMART-Sounds
Outcome: Reject
NIHR204567: VEGAS: Volume Expansion Guidance through a real-time Assessment of the Frank-Starling curve
Outcome: Reject
NIHR204568: Artificial intelligence (AI) risk-based stratification tool for surgical waiting list prioritisation and prehabilitation for all patients including those with multi-morbidities
Outcome: Reject
NIHR152583/Tillett - EME Transfer: Machine Learning to Automate joint Damage Assessment in Psoriatic Arthritis. (The ArthNet Study)
Outcome: Reject
NIHR153593/Wilkinson - EME Transfer: Life-log: Clinical evaluation of AVATR, a hybrid AI technology designed to enable tailored patient
engagement to support medically-vulnerable racial/ethnic minority populations to manage lifestyle-related co-morbidities -
i.e. cardiovascular heart disease and diabetes - when outside of hospital.
Outcome: Reject
NIHR153632/Ponniah - EME Transfer: Skin Malignancy diagnosis using Artificial Intelligence Technology (SMART study)
Outcome: Reject