Minutes of the Invention for Innovation (i4i) programme Sub-Committee Meeting to discuss applications to Product Development Awards Competition 19 Stage 1.
Date and location
Meeting held on Wednesday 5 February 2020 at LGC Ltd, Grange House, 15 Church Street, Twickenham TW1 3NL
In attendance
Funding Committee
Mr Mark Kirby (Chair)
Professor Paul Sibbons (Deputy Chair)
Mr Charles Spicer (Chair)
Professor David Hawkes (Deputy Chair)
i4i Secretariat
Mr Martin Hunt (Programme Director)
Dr Ruth Nebauer (Assistant Director)
Dr Andrew Barber
Dr Emma Blamont
Mr Freddy Guenemi
Dr Katherine Horner
Mr Thomas Hutchinson
Dr Caterina Lombardo
Mrs Paula Milton
Dr Sandra Nwokeoha
Dr Raffaella Roncone
Mr Edwin Tucker
Apologies
Mr Martin Hunt (Programme Director)
Mr Ben Patient (Director of Innovations)
Dr Ruth Nebauer (Assistant Director)
Observers
Jacob Holderness
Mrs Samantha Wade
Stage 1 applications to be invited to submit to Stage 2
NIHR201688: ChromaDose: In-vitro diagnostic device development and validation, enabling point-of-care therapeutic drug monitoring for dose optimisation of anthracycline chemotherapy in paediatric cancer settings.
Outcome: Invited to submit stage 2 application
NIHR201655: “CEeDD: “A First-in-Human Clinical Investigation of Cavitation-Enhanced Drug Delivery to Solid Tumours by co-Administration of Sonosensitive Particles and Application of Extracorporeal Ultrasound in Patients with Colorectal Metastases to the Liver”
Outcome: Invited to submit stage 2 applicatio
NIHR201684: Development and clinical study of a wearable brain imaging device to detect intracranial bleeding at the point of care
Outcome: Invited to submit stage 2 application
NIHR201671: Digital Histopathology Screening Platform
Outcome: Invited to submit stage 2 application
NIHR201646: Implantable Lymph Node Substitute for Prevention of Surgically-Induced Lymphoedema
Outcome: Invited to submit stage 2 application
NIHR201625: Prevent bone fracture during or shortly after hip replacement surgery
Outcome: Invited to submit stage 2 application
NIHR201632: Investigating non-invasive diagnosis and monitoring in gestational diabetes (INDiGo study)
Outcome: Invited to submit stage 2 application
NIHR201642: A new therapy for post-stroke arm spasticity: Sheffield Adaptive Patterned Electrical Stimulation (SHAPES) - a co-designed system improvement followed by a powered multi-arm randomised control trial.
Outcome: Invited to submit stage 2 application
NIHR201629: The development of a chatbot to support successful transition to adult care of young people with Type 1 Diabetes
Outcome: Invited to submit stage 2 application
NIHR201641: A Novel Mitral Valve for Transcatheter Implantation
Outcome: Invited to submit stage 2 application
NIHR201643: SuperResPath-Renal: Quantitative super-resolution technology for a fast, de-centralised clinical diagnosis of renal pathologies
Outcome: Invited to submit stage 2 application
NIHR201645: Rapid, Sensitive Detection of Resistance to Therapeutic Antibodies Product Development
Outcome: Invited to submit stage 2 application
NIHR201651: Prediction of Atrial Fibrillation using P-wave characteristics – Development of a module for integration into commercially available remote monitoring devices
Outcome: Invited to submit stage 2 application
NIHR201654: MorphGI- a self-propelled soft colonoscope
Outcome: Invited to submit stage 2 application
NIHR201677: Refining breast cancer diagnosis and prognosis using artificial intelligence (AI) to solve diagnostic bottleneck and improve patients’ care.
Outcome: Invited to submit stage 2 application
NIHR201680: Remote delivery on an app-based intervention DIALOG+ in community mental health care – development of Remote DIALOG+
Outcome: Invited to submit stage 2 application
Stage 1 applications not invited to submit to Stage 2
NIHR201660: Development and first in-person clinical application of a quantitative ultrasound imaging system for improved breast cancer diagnosis
Outcome: Reject
NIHR201672: Development and validation of a sensitive blood test for diagnosis and monitoring osteoarthritis
Outcome: Reject
NIHR201679: A transformational approach to the early detection of bowel cancer
Outcome: Reject
NIHR201635: Development of device for assessment and treatment of amblyopia and strabismus
Outcome: Reject
NIHR201678: Development and pre-market evaluation of a non-invasive intracranial pressure monitor
Outcome: Reject
NIHR201624: Development of a Clinical Anti-Rheumatic Adherence Test (CARAT)
Outcome: Reject
NIHR201627: A Wearable Conditional Sacral Neuromodulator for Treatment of Lower Urinary Tract Dysfunction
Outcome: Reject
NIHR201631: FITSHAPE
Outcome: Reject
NIHR201630: Reducing risks of poor birth outcomes caused by placental dysfunction in Caucasian, African and Asian ethnicities in UK cities.
Outcome: Reject
NIHR201633: Clinical validation of a point of care device to aid wound infection diagnosis
Outcome: Reject
NIHR201636: ADAPT - An innovative system to de-risk and accelerate for complex surgery in the prone position
Outcome: Reject
NIHR201637: Robotic Inserted Cochlear Electrode (RICE)
Outcome: Reject
NIHR201638: An investigation into using whole breast radio wave scanning to guide further targeted investigation of a symptomatic breast using hand-held ultrasound
Outcome: Reject
NIHR201647: The use of MyCognitionPRO to improve functioning of primary care patients with Mild Cognitive Impairment (MCI)
Outcome: Reject
NIHR201648: Development & prospective study of AI-based diagnostic tool for more accurate, early diagnosis of prostate cancer
Outcome: Reject
NIHR201649: ViewEye: Digital platform technology for low-cost, automated retinal imaging
Outcome: Reject
NIHR201650: Postable Blood Test Device
Outcome: Reject
NIHR201652: CENSEO – clinical evaluation of an online assessment tool for mental health diagnosis in primary care
Outcome: Reject
NIHR201653: Development of a real-time monitoring and diagnostics device for pre-transplantation organ assessment
Outcome: Reject
NIHR201656: K-Monitor: A continuous monitoring solution for lower limb prostheses
Outcome: Reject
NIHR201658: Development of a novel universal point-of-care diagnostic platform for comprehensive metabolic panel testing enabling healthcare efficiencies and improved detection and patient self-management of long-term conditions
Outcome: Reject
NIHR201659: Development of a transcutaneous vagal nerve stimulation to treat depression
Outcome: Reject
NIHR201661: "ChronReg: The development and pilot/feasibility trial of a new digital biofeedback intervention for improving emotion self-regulation in young people with long-term chronic health conditions”
Outcome: Reject
NIHR201662: Personal lithium drug monitor
Outcome: Reject
NIHR201663: Use of 3D printing to manufacture personalised pharmaceutical products in NHS hospitals
Outcome: Reject
NIHR201666: Design and Manufacturing of Prosthesis in Additive Manufacturing
Outcome: Reject
NIHR201667: NeWTS: Neonatal Wireless Transmission System
Outcome: Reject
NIHR201668: Development and clinical evaluation of a wearable smart garment for long-term ambulatory heart rhythm monitoring
Outcome: Reject
NIHR201670: Immersive 4D imaging for Planning Surgical and Catheter Intervention in Structural Heart Disease
Outcome: Reject
NIHR201673: GaitThaw - improving the lives of people with Parkinson's
Outcome: Reject
NIHR201675: Development of a bed-side device for rapid profiling of the vaginal microbiome
Outcome: Reject
NIHR201681: Venous leg ulcers: co-design and development of a novel electronically-assisted, user adjusted, 'smart sock' to improve healing time of venous leg ulcers.
Outcome: Reject
NIHR201682: ELectrotherapy, Sensing and data Acquisition for joint pain management (ELSA)
Outcome: Reject
NIHR201685: Risk Assessment to reduce unintended consequences of Giant Cell Arteritis by rigorous, personalised, actuarial risk quantification and uncertainty management
Outcome: Reject
NIHR201687: LUS in the Cloud: A Portable Solution for B-line Quantification in Lung Ultrasound Imaging
Outcome: Reject
NIHR201689: "Using an individual patient's resting brain activity as a predictor of future postsurgical pain."
Outcome: Reject
NIHR201691: Developing an artificial intelligence based software product that detects the clinical abnormalities in musculoskeletal X-rays as a decision support tool for the front-line clinicians
Outcome: Reject
Stage 1 application that did not fulfil the Programme’s eligibility criteria
NIHR201691: Developing an artificial intelligence based software product that detects the clinical abnormalities in musculoskeletal X-rays as a decision support tool for the front-line clinicians
Outcome: Reject