Predicting and Preventing Cognitive decline through AI
Technology has been a key enabler in the transformation of healthcare. Areas like artificial intelligence, information & communication technology, connected medical devices and more, have all made significant contributions to improving the health of people all around the world.
Together with healthcare professionals, we are working to translate research into products that can improve current treatment options. Iota Medtech envisions a future where our product, iota ai platform, plays a significant role in assisting clinicians and improving patient outcomes.
In June 2019, we have signed a Memorandum of Understanding (MOU) with the National Neuroscience Institute (NNI) to develop a priority sorting system for brain scans for head injury patients.
Team / Collaborators
Chief Executive Officer
Ben has over two decades of experience with leading technology companies, developing, commercializing and launching of innovative new products at both the regional and global level.
In iota medtech, he leads initiatives across product and platform, patent applications, intellectual property asset management, business development, legal and corporate functions.
Ben is leading the partnerships with the world's leading hospitals and development companies, to achieve our vision of a future where surgery is safer and less invasive through artificial intelligence.
He is a graduate of the National University of Singapore where he earned a Masters of Science degree. He is also the Chairman of the Startup group at the APAC Medical Technology Association.
Ben lead the team to victory in the JTC LaunchPad Pitch Wars 2019, where iota medtech was crowned LauncPad UNICORN.
Chief Technology Officer
Victor’s first foray into medtech and computer vision was during his time as an undergraduate at NUS. Prior experience includes designing Solutions and Mission-Critical systems for commercial and government agencies including the military and homeland security, Encryption and Algorithm Analysis, Authentication Systems (Access Control, IAM, PAM, SSO), as well as Deep Learning / Machine Learning Systems and Data Analytics.
He is a graduate of the National University of Singapore where he earned a Bachelor of Science (Computer Science) degree.
In iota medtech, he leads initiatives by outlining the company's technological vision, implementing technology strategies, and ensuring that the technological resources are aligned with the company's business needs.
Dr. Ng Wai Hoe
Collaborator & Medical Director and Senior Consultant, NNI
Dr Ng Wai Hoe is the Medical Director of the National Neuroscience Institute and Academic Chair of the SingHealth Duke-NUS Neuroscience Academic Clinical Program. He is also the Deputy Chairman of the SingHealth Medical Board.
Dr Ng holds the M.B.B.S, MBA, MD (NUS), FRACS (Neurosurgery) and FAM Degree and certification. Dr Ng is also a neurosurgeon with a subspecialty practice focused on Neurosurgical Oncology (Brain Tumours), Stereotactic and Functional Neurosurgery and Epilepsy Surgery.
Throughout his career, Dr Ng had participated and published 93 publications and research trials with his research and medical team.
Besides being the medical director of the National Neuroscience Institute (NNI), he holds other professional appointments such Academic Chair of SingHealth Duke-NUS Neuroscience Academic Clinical Programme, Deputy Group Chairman of the Medical Board in SingHealth and Co-Director in the Brain and Behaviour department of Duke-NUS Medical School.
Dr. Lim Choie Tchoyoson
Collaborator & Senior Consultant, Department of Neuroradiology, NNI
Dr. Tchoyoson received the M.B.B.S. degree, and the Master of Medicine degree from the National University of Singapore, Singapore.
Since 2005, he has been a Senior Consultant with the National Neuroscience Institute, Singapore, and he has co-authored over 100 peer reviewed articles and holds two U.S. patents in medical image archiving.
He served on the editorial boards of many journals, including the British Journal of Radiology Case Reports, the Annals of the Academy of Medicine, and the Singapore Medical Journal, and he has been a reviewer for numerous journals, such as the British Journal of Radiology, European Radiology, Neuroradiology, Magnetic Resonance Imaging, and the Journal of Neurology, Neurosurgery and Psychiatry.
He is an Adjunct Associate Professor with the Duke-NUS Graduate Medical School. He is also a fellow of the Royal College of Radiologists, U.K., and Academy of Medicine, Singapore. He served as the Secretary of the Singapore Radiological Society
Regulatory Affairs / Quality Assurance Manager
Xinyang is certified and experienced in managing Quality Assurance predominantly in the area of current Good Manufacturing Practices (cGMP) compliance, Good Laboratory Practices (GLP) and Quality Management System (QMS).
Following multiply international standards such as FDA 21 CFR PART 820 & ISO13485.
He is awarded with a certification of advance diploma in biomedical engineering for GMP compliance.
In iota medtech, he is responsible for QA and RA matters during the development of both iota nex surgical robotic platform and iota ai artificial intelligence platform.
Dr. Justin Ker
Collaborator & Senior Resident, Department of Neurosurgery, NNI
Justin received the B.S. degree in biological sciences from Carnegie Mellon University, Pittsburgh, PA, USA, in 2005, and the M.B.B.S. degree from The University of Sydney, Australia, in 2009.
His research interests lie in traumatic brain injury and the application of machine learning to medical image analysis. Since 2013, he has been with the National Neuroscience Institute, Singapore, as a Neurosurgical Resident.
He received the International Merit Scholarship from The University of Sydney and the Nanyang Technological University–National Neuroscience Institute Neurotechnology Fellowship.
Arkar Min is a computer scientist at Nanyang Technological University (NTU) specializing in AI and Data Science. He finished his 4-year degree program in 3 years and graduated with Honours (Highest Distinction). He had worked in various types of machine-learning projects such as image classification, forecasting, grammar error correction, information retrieval systems, and business-related data-analytic projects. He had experiences as a project manager to develop products together with the team. He is currently leading the company’s software development team to develop healthcare-related software products.