NHG Centre for Medical Technologies & Innovations (CMTi) and National Health Innovation Centre Singapore (NHIC) Joint MedTech Grant Call
To encourage innovation in healthcare, the NHG Centre for Medical Technologies and Innovations (CMTi) and NHIC rolled out the NHG CMTi-NHIC Joint MedTech Grant, which provides internal seed funding for the development of innovative MedTech solutions. This grant aims to fund the early stage development of technological solutions that are commercially viable to resolve unmet needs in healthcare. Potential areas for MedTech innovation include, but are not limited to, medical devices, diagnostics, and digital applications.
The Centre for Medical Technologies and Innovations (CMTi) is NHG’s primary engine that drives innovation through the translation of ideas into implementable products, bridging the gap between unmet clinical needs, MedTech development, and innovative healthcare solutions. CMTi continuously looks out for opportunities to foster meaningful partnerships and builds its strategic innovation ecosystem with both local and international partners spanning across industry, academia, research and government sectors. From assessing problem statements and use cases, to building and supporting the navigation to resources, strategizing the right collaborative approach with our partners, and finally solution adoption and healthcare implementation, CMTi is fully equipped with a productization strategy for efficient business model execution.
Innovation teams may leverage on the potential outcomes of this seed funding to seek further competitive funding at the national level and advance the development of their MedTech solutions to bring them to implementation.
- The main applicant (i.e. PI) should hold a primary appointment in and be salaried by an NHG institution.
- Co-I(s) should hold at least an adjunct position in a local public institution.
- Individuals from overseas institutions or private companies can only participate as Collaborators.
The successful application will be awarded a funding of maximum S$100,000 for a duration of one (1) year.
This grant could be used to support manpower, equipment and other operating expenses required for the development of the proposed MedTech solutions. Up to 50% of the total approved budget could go to the institution(s) of Co-I(s). Collaborator(s) are not entitled to receive directly any portion of the grant. Overheads or indirect research costs will not be supported.
|Host Institution||Principal Investigator (PI)||Project Title|
|2019 (Awarded in 2020)
|TTSH||Dr How Kwang Yeong||SERA, Surgical Enhanced Recovery Assistant (Mobile App Development for ERAS patients)|
|NSC||Prof Steven Thng||Developing the Handheld Confocal Raman for in-vivo study of skin biochemistry: A prospective clinical study on effects of moisturisers on skin biochemistry|
|NSC||Dr Tey Hong Liang||Alleviation of procedure-related pain using a non-invasive vibratory device|
|NSC||Dr Tan Siyun, Lucinda||Artificial Intelligence-incorporated automated attachable Dermatoscopy for Bedside Algorithmic Diagnosis of Melanoma|
|TTSH||Dr Aung Myint Oo||Pilot project of a modular assembled, multiple surgical procedures training simulator|
|NSC||Lim Ziying Vanessa||Formulation of a safe and effective silver-containing antimicrobial moisturiser for concurrent emollient and prolonged anti-septic effects|
|TTSH||Danson Yeo||Prediction of body composition using 3D optical imaging and machine learning in an Asian Population|
|NSC||Tan Yingrou||Automation of Tissue Optical Clearing Processes|
|KTPH||Hah Yan Yee||Application of artificial intelligence in detection of red reflex for the grading of cataracts|
|NSC||Tey Hong Liang||Anti-inflammatory moisturizer cream containing oligonucleotide for management of atopic eczema|
|KTPH||Wei Shan||Applying Virtural Reality in Cognitive rehabilitation for stroke survivors|
|NSC||Cheng Hui Mei||3D-printed Rapidly Administrable Microneedle Patch for Acne Scar Treatment|
|TTSH||Trevor Binedell||3D knitted prosthetic socket with integrated liner|
|TTSH||Leong Khai Phang||Rapid and Accurate Genomic Data Interpretation for Personalized Medicine|
|TTSH||Fan Bingwen Eugene||Algorithm for diagnosis of peripheral blood films via deep learning and computer vision.|
For more information about this grant, please visit this link and contact your Host Institution’s Research Office:
Ms Evangeline Ng
DID: 6496 6984