Internet Explorer is no longer supported by Microsoft. To browse the NIHR site please use a modern, secure browser like Google Chrome, Mozilla Firefox, or Microsoft Edge.

Invention for Innovation - PDA Call 26 Stage 1 Minutes

Contents

Published: 17 August 2023

Version: 1.0 August 2023

Print this document

Minutes of the Invention for Innovation (i4i) Programme Committee Meeting to discuss applications to Product Development Awards (PDA) Call 26 Stage 1

Date and Location

Meeting held on Thursday 20 July 2023 via Zoom Virtual Meeting

In attendance

Committee

  • Ms Emma Palmer Foster (Committee A Chair)
  • Professor Paul Sibbons (Committee A Deputy Chair)
  • Mr Charles Spicer (Committee B Chair)
  • Mr Mark Campbell
  • Ms Mary Anne Cordeiro
  • Professor Luca Marciani
  • Professor James Moore
  • Dr Julie Simmonds
  • Dr Andrew Sims
  • Ms Joanna Smart
  • Dr Neville Young

NIHR i4i Secretariat

  • Professor Mike Lewis (Programme Director)
  • Dr Ruth Nebauer (Assistant Director)
  • Dr Andrew Barber
  • Dr Silvana Cossins
  • Dr Michelle Edye
  • Mr Alex Zabala Findlay
  • Ms Eva Garritsen
  • Dr Dominic Hampson
  • Ms Ami Hodges
  • Mr Fergus Morris
  • Ms Amy Muggeridge
  • Mr Danilo Villanueva Navarrete
  • Dr Ian Newington
  • Dr Maryam Tamaddon
  • Mr Luis Tojo
  • Dr Francesca Troiani
  • Mr Edwin Tucker
  • Ms Kasia Zmarzly
  • Mr Bryan Dar
  • Ms Harkerat Jandu
  • Ms Michal Wagman

Apologies - Committee A

  • Mr Ravi Chana
  • Ms Alice Evans
  • Professor Gail Hayward
  • Professor David Jayne
  • Dr Thomas Keeble
  • Dr Zahid Latif
  • Dr Nick de Pennington
  • Dr Krishan Ramdoo
  • Dr Matthew Reeves
  • Dr Peter Watkinson
  • Mr Tim Wright

Apologies - Committee B

  • Mr Vadim Alexandre
  • Professor Liam Grover
  • Professor Paul Leeson
  • Mr Chris Sawyer
  • Professor Sarah Stapley

Observers

  • Ms Caroline Moore (University College London)

Stage 1 applications invited to submit to Stage 2:

NIHR206408: Integrated autofluorescence-Raman spectroscopy (AF-Raman) for intra-operative assessment of sentinel lymph node biopsies in breast cancer surgery
Outcome: Invite to Stage 2

NIHR206410: Inflatable Prone Repositioning Device, from Manufacturable Prototype to Marketable Product
Outcome: Invite to Stage 2

NIHR206417: Changing the landscape in liver biopsy assessment with artificial intelligence deep learning software
Outcome: Invite to Stage 2

NIHR206418: Validation and implementation of electronic patient safety alerts to reduce hospital bed occupancy and readmissions following emergency admission
Outcome: Invite to Stage 2

NIHR206419: IRIS: Next generation point-of-care testing for respiratory viral infection screening in Emergency Department (ED) settings.
Outcome: Invite to Stage 2

NIHR206421: Advance the Tutti Toot Trumpet (TTT) to a final design version 4 system, undergo iterative usability testing, implement QMS ISO13485 and obtain UKCA marking.
Outcome: Invite to Stage 2

NIHR206425: Crainio non-invasive intracranial pressure monitor for traumatic brain injury: product development
Outcome: Invite to Stage 2

NIHR206429: Automating personalised biomechanical analysis with AI to optimise the management of musculoskeletal conditions
Outcome: Invite to Stage 2

NIHR206433: SDM-BD: A patient app and EPR-integrated care team interface to digitally-enable asynchronous support for shared decision making to improve maintenance management of patients with Bipolar Disorder (BD)
Outcome: Invite to Stage 2

NIHR206435: Plexaa for Preconditioning: The development of a preconditioning device to improve surgical outcomes
Outcome: Invite to Stage 2

NIHR206436: Safety and Efficacy of a foot-volume-measuring device using 3D imagery and AI to automatically monitor heart failure patients.
Outcome: Invite to Stage 2

NIHR206439: Co-creating a novel digital therapeutic solution for children who stammer to improve speech therapy outcomes and service efficiency within NHS: Product development, clinical feasibility, and economic assessment.
Outcome: Invite to Stage 2

NIHR206447: Guided Insertion of Tracheostomy tubes (GIFT) – a device development study
Outcome: Invite to Stage 2

NIHR206453: A software system for measuring hip displacement in children with cerebral palsy from pelvic radiographs
Outcome: Invite to Stage 2

NIHR206456: Robotics and AI platform for minimally invasive Neurosurgery (RAIN)
Outcome: Invite to Stage 2

NIHR206459: Development of a rapid antimicrobial susceptibility test to assist the treatment of UTI in primary and urgent care settings.
Outcome: Invite to Stage 2

NIHR206471: New Trauma and PTSD Therapy Pathways for Virtual Reality  management of patients with Bipolar Disorder (BD)
Outcome: Invite to Stage 2

NIHR206473: Machine learning-enabled decision support system to improve
Outcome: Invite to Stage 2

NIHR206478: Conformable Microfluidic Force Sensors for Precision Joint
Outcome: Invite to Stage 2

NIHR206484: Disruptive diagnostic technology for discrimination of bacterial
Outcome: Invite to Stage 2

NIHR206488: Support for final product development and regulatory submission of an ultrasensitive point of care troponin test
Outcome: Invite to Stage 2

NIHR206499: A digital ecosystem for acute oncology
Outcome: Invite to Stage 2

NIHR206500: NeWTS: Advancing Neonatal Care with Wireless Technology: From Prototype to Commercial Product
Outcome: Invite to Stage 2

NIHR206502: Development of a next-generation gynaecological drug delivery device for enhanced patient comfort and convenience
Outcome: Invite to Stage 2

Stage 1 applications not invited to submit to Stage 2:

NIHR206313: Evaluation of remote, digital supports for children on waiting lists for speech and language therapy
Outcome: Reject

NIHR206316: Novel and Exceptional Hydrophobic Haemostatic Medical Device for Pre-Hospital Trauma
Outcome: Reject

NIHR206405: Inclusive, seamless and non-invasive screening for breast cancer from fingertip smears
Outcome: Reject

NIHR206406: Psychosis Relapse risk Insight through Machine learning Evaluation (PRIME)
Outcome: Reject

NIHR206407: The development and user-testing of Headway 2.0, a suite of digital mental health tools to improve the Primary/Secondary Care Pathway for children and young people’s mental health.
Outcome: Reject

NIHR206409: Digital Medical Device for Bipolar Patients
Outcome: Reject

NIHR206411: Precision stent optimisation by intravascular OCT coronary imaging
Outcome: Reject

NIHR206413: Can the Tellmi app be adapted to measurably improve the mental-health of autistic CYP and reduce the burden on the NHS?
Outcome: Reject

NIHR206414: Enhancing the technology readiness level of our bilateral upper-limb exoskeleton for commissioning into NHS for effective stroke rehabilitation
Outcome: Reject

NIHR206415: Improving detection of sexually transmitted infections and associated antimicrobial resistance: development of a multiplex PCR rapid diagnostic test
Outcome: Reject

NIHR206416: My Type1 Rethink: User-driven innovation for Type 1 Diabetes Education and Support
Outcome: Reject

NIHR206420: AI Assured Upper GI Endoscopy
Outcome: Reject

NIHR206422: Development and evidence generation for a multimodal combination biomarker-based health monitoring and early warning system
Outcome: Reject

NIHR206423: Robotic Gamete Preparation with Artificial Intelligence to Improve Embryologist Productivity and Reduce Inequalities of Access and Outcomes in IVF
Outcome: Reject

NIHR206426: Optimisation of Artificial intelligence Spirometry Interpretation Software in primary care (OASIS)
Outcome: Reject

NIHR206427: ADDHiF: AI Detection and Diagnosis of Hip Fracture
Outcome: Reject

NIHR206428: EASE: Virtual Reality Intervention for Children with Posttraumatic Stress Symptoms (PTSS)
Outcome: Reject

NIHR206430: SmartPatch system for amblyopia management in children age 5-8 years: development of measurement device and accompanying feedback a
Outcome: Reject

NIHR206432: Exhale-Dx in Asthma ConTinuous Monitoring and Diagnosis: ExACT-MD
Outcome: Reject

NIHR206434: Sepsis detection : Increasing the efficiency and effectiveness of A&E triage : fast and contactless Lifelight NEWS2-eTriage
Outcome: Reject

NIHR206437: Digital hand tracking - bringing benefits of Augmented Reality and Remote Monitoring to hand therapy patients
Outcome: Reject

NIHR206438: Intelligent Remote Monitoring of Infant Respiratory Condition using PuffinPLUS™ Multi-Sensor Device
Outcome: Reject

NIHR206440: Development of a novel diagnostic system predicting dying and transforming palliative and end of life medicine.
Outcome: Reject

NIHR206441: Advancing Posterior Corneal Topography Evaluation: Designing and Validating a Cost-Effective, User-Centric Device for Enhanced Ophthalmic Care
Outcome: Reject

NIHR206442: Proactive Social Prescribing at Scale
Outcome: Reject

NIHR206443: Phase 2 development of PerDeCT device (Pericardial Device for monitoring Cardiac output and the diagnosis of Tamponade)
Outcome: Reject

NIHR206445: Near Infrared Hyperspectral Imaging for the assessment of fluid Balance and the formation of generalised oedema in critically ill neonates
Outcome: Reject

NIHR206446: Using MRI to identify Alzheimer's-specific Pathology: A Non-invasive Companion Diagnostic to Amyloid Disease-Modifying Treatments
Outcome: Reject

NIHR206448: Development and early validation of the Exovent Negative Pressure Ventilator
Outcome: Reject

NIHR206449: Combining an NHS large language model with knowledge-based artificial intelligence to reduce harm and inequality in maternal Care Pathways by Automating Shared Synthesis of Information for Safer Treatment: CarePath-ASSIST=
Outcome: Reject

NIHR206450: Innovation In Asthma Care Using Data-driven ARtificial INtelliGence(CARING)
Outcome: Reject

NIHR206451: OrthoSense: Using wearable technology to improve identify knee instability.
Outcome: Reject

NIHR206454: Prototyping and prospective feasibility study of AI-enabled rapid oral cancer assay- qMIDS
Outcome: Reject

NIHR206455: Artificial intelligence-guided personalised treatment effects for shared decision making
Outcome: Reject

NIHR206457: Optimising muscle function in breathing (OptiMuscle-2)
Outcome: Reject

NIHR206458: Vitamin K-dependent protein Gas6 as a novel biomarker of chronic inflammatory, immune and neurodegenerative diseases
Outcome: Reject

NIHR206461: Bipolar Focused Objective Calculations of Affect (BiFOCAl)
Outcome: Reject

NIHR206462: LocANTS Emergency Care Virtual Presence System
Outcome: Reject

NIHR206463: A minimally invasive technology for the treatment of uterine fibroids: Bimodal Electric Tissue Ablation (BETA) using the Luna device.
Outcome: Reject

NIHR206464: Clinical validation of Artificial Intelligence guided Clinical Coaching (AICC) – A pioneering collaboration between Health Innovation Manchester, University of Manchester and HN to predict and prevent unplanned care
Outcome: Reject

NIHR206465: CHART-GPT(tm): Natural Language Processing AI for cardiovascular diagnostic decision support for point-of-care.
As a cardiologist is to a general practitioner, so CHART-GPT is to Chat-GPT.
Outcome: Reject

NIHR206467: Transforming Pre-Hospital Emergency Care with Conversational AI
Outcome: Reject

NIHR206468: Predicting Meaningful Outcomes from Natural-language Interactions in Therapy Recordings (PreMONITR)
Outcome: Reject

NIHR206469: AI-based monitoring of gait kinematics for improved osteoarthritis diagnosis and management
Outcome: Reject

NIHR206470: Soft robotic tactile device (SOFTLI) to relieve anxiety
Outcome: Reject

NIHR206472: Implementation of Best Practice Guidelines to Prevent Post-Traumatic Osteoarthritis of the Knee: an AI-Driven Digital Soluti
Outcome: Reject

NIHR206474: Improving kidney perfusion in aortic aneurysm surgery by optimising the pulsatile Haemair pump to reduce the need for post-surgical dialysis
Outcome: Reject

NIHR206477: CORE Scope - the COmplete Robotic Colonoscopy.
Outcome: Reject

NIHR206475: RECOGNeyes for Schools
Outcome: Reject

NIHR206476: Accreditation and First in Human Safety Application of The Oxford Nerve Conduit
Outcome: Reject

NIHR206480: Generating personalised dietary advice from a first-in-kind smartphone diary to assess food-symptom triggers in Irritable Bowel Syndrome (IBS).
Outcome: Reject

NIHR206481: Development and Clinical Validation of a Novel AI-Enhanced Three-Dimensional Bone and Joint Assessment and Visualisation Tool: Computer-Aided Tracking and Motion Analysis with Ultrasound (CAT&MAUS)
Outcome: Reject

NIHR206482: IMPLANT-ID: Automated identification of the make and model of implanted medical devices on plain radiographs through AI
Outcome: Reject

NIHR206483: Robotic and AI assistance for physiotherapists
In-depth study and needs analysis, leading to the development of a new device for use in sit-to-stand, balance and walking therapies.
Outcome: Reject

NIHR206485: TASHA - Using AI and 3D computer vision for Remote Monitoring and Prediction of Diabetic Foot Ulcer Progression
Outcome: Reject

NIHR206486: Digital solution for streamlined, quantitative sperm sample analysis in fertility treatment.
Outcome: Reject

NIHR206487: Personalised blood potassium monitoring to transform cardiorenal disease management
Outcome: Reject

NIHR206489: Smart Rhythm Strip for Atrial Fibrillation Detection: first-of-a-kind purpose-built “AF-Detect” flexible electronics medical device to deliver a rapid at-home ultra-low-cost test (less than £1) for Atrial Fibrillation.
Outcome: Reject

NIHR206490: ATLAAS: AI Tool for Longitudinal Aortic Assessment and Screening
Outcome: Reject

NIHR206491: Building the Rebel Hand
Outcome: Reject

NIHR206492: Evaluating the Safety, Efficacy, and Calculating the Lower Carbon Footprint of Reusable UKCA CE Marked Transparent Alternatives to Single-Use Medical Face Masks for NHS and Social Care System
Outcome: Reject

NIHR206493: MAESTRO: Musculoskeletal Access Enhancement through Streamlined Triage and Referral Optimization.
Outcome: Reject

NIHR206495: Leveraging Virtual Care Pathways to Reduce Workforce Pressure in the Minor Injuries and Emergency Care Setting
Outcome: Reject

NIHR206496: The Development of a Novel Antimicrobial Coating for Medical Devices, Including Endotrachael Tubes and Catheters.
Outcome: Reject

NIHR206497: Diagnostic support for healthcare professionals managing patients with neurological symptoms.
Outcome: Reject

NIHR206498: Pharmacogenomic testing: A diagnostic saliva test with medical device software that allows precision in prescribing decisions to reduce adverse drug reactions, inappropriate prescribing decisions and support cost saving.
Outcome: Reject

NIHR206501: Developing and testing the use of machine learning models to deliver personalised plans of care for people living with type 2 diabetes and at least one other long term condition
Outcome: Reject

Stage 1 applications that did not fulfill the Programme's eligibility criterai:

NIHR206301: MEDLINK FOR DIGITAL HEALTH SURVEILLANCE, TREATEMENT AND MONITORING
Outcome: Reject

NIHR206412: Leveraging AI to Enhance Sustainability and Efficiency in the Life Cycle of Medical Devices: A Three-Part Study
Outcome: Reject