Dr. Anand Vinekar currently serves as a Clinical Professor and the Head of the Pediatric Retina Department at Narayana Nethralaya Eye Institute, Bangalore, India. Dr. Vinekar is the founding Program Director of the Karnataka Internet Assisted Diagnosis of Retinopathy of Prematurity “KIDROP” program which is currently the largest telemedicine program that screens for retinopathy of prematurity (ROP) in the world. KIDROP has been referenced by the Harvard Business Review, United Nations Developmental Program (UNDP) among others, and has won the prestigious national public choice “Innovative PPP of the year” at the e-India summit supported by the Government of India in 2012 and the Health Care Excellence Award in 2016.

Dr. Vinekar has won the Kataria Gold Medal awarded by the Prime Minister of India, the All-India Young Researcher, honored by His Holiness Dalai Lama for his scientific contribution, among others. In 2018, Dr. Vinekar has won the Kataria Gold Medal awarded by the Prime Minister of India, and the Innovator of the Year (Health Care) by the Department of Biotechnology, Government of India for his contribution as Principal Investigator in developing a low-cost infant retinal camera along with Bangalore based company, Forus Health. He contributed to the development in an honorary capacity since 2013 to allow affordable technology to become accessible to the rural outreach centers. In 2019, the device received FDA and CE approvals and has over 100 installations across the world.

Dr. Vinekar is an alumnus of St. John's Medical College, Bangalore, India, where he completed his MBBS with an unbroken university record of 17 gold medals and also received the Pope Paul Medal for the best outgoing student. He completed his Post-graduation & Retina training at the prestigious Postgraduate Institute (Chandigarh) where he became the first Ophthalmology resident to be awarded the gold medal for the best postgraduate across all specialties. He has completed his International Fellowship in Pediatric Retina at a premier center in Michigan, USA. He has also completed the fellowship exam of the Royal College of Physicians and Surgeons, Glasgow, UK, and holds a degree in Hospital Administration. He defended his PhD from Maastricht University, the Netherlands in 2015. This is the first PhD in ROP from India. He has delivered over 220 invited lectures at national & international meetings and has over 90 publications (H Index 22), 23 book chapters, and been Chief-Editor of an International Text-Atlas on Spectral Domain OCT published by Elsevier (2012). His special interest includes infant imaging, tear biomarkers, and telemedicine in ROP management.

Bram van Ginneken is Professor of Medical Image Analysis at Radboud University Medical Center where he chairs the Diagnostic Image Analysis Group. He also works for Fraunhofer MEVIS in Bremen, Germany, and is a founder of Thirona, a company that develops software and provides services for medical image analysis. Bram has developed software for tuberculosis detection in chest x-rays that is now available as CAD4TB in over 45 countries. He also co-developed the BabyChecker, an AI-driven solution for ultrasound screening of pregnant women currently being tested in four African countries.

Michal Sofka is leading the deep learning efforts for innovative point-of-care MRI at Hyperfine Research. Michal is on a mission to develop algorithms that improve image quality and run on the scanner and tools for image interpretation that run in the cloud. Until 2017, Michal worked on automated measurements and scan acquisition assistance for the iQ, a new hand-held ultrasound device developed by Butterfly Network. Before joining Butterfly and Hyperfine, Michal was a senior technical leader in Cisco's Cognitive Threat Analytics team in Prague, Czech Republic. Prior to Cisco, Michal worked as a senior scientist and project leader at Siemens Corporate Research, a top healthcare industrial R&D lab in Princeton, New Jersey. He received the MS degree in Electrical Engineering from Union College and MS and PhD degrees in Computer Science from the Rensselaer Polytechnic Institute (RPI).