​Join us to explore the diverse applications of AI in healthcare! We'll examine wearable cognitive assistants using LLMs, AI-driven clinical support, and innovative solutions for healthcare administration. Discover how AI is transforming the industry by enhancing cognitive support, improving access in underserved areas, and streamlining administrative tasks.

​More about the Sharings

• ​Chi Ling, Chan (Founder and Director of Equitech) will share about Medibot, the first AI-driven clinical decision support chatbot in Timor-Leste enabling primary care providers to use AI as a co-pilot in diagnosis and treatment. The sharing will cover how AI is uplifting the quality of primary care in Timor-Leste and other health systems across lower-middle income countries, and some of the technical challenges to do with language accuracy, community moderation, and hyperlocal AI deployments. Megan Yee and Wayne Tee (Product Engineers at Equitech) will cover engineering problems that the team will be tackling in the next bound. (Technical Difficulty: 200)

• ​Samantha Chan will share about developing wearable and digital interfaces for supporting human cognitive abilities and health. She will present examples of how she and her collaborators use LLMs and visual LLMs to build personal wearable assistants for real-time memory and cognitive support. The sharing will also provide a high-level summary of how to implement such systems and discuss future AI applications. (Technical Difficulty: 200)

• ​Zacchaeus (Co-founder, Marymount Labs) will share about his experience starting a healthtech startup that’s applying modern AI techniques to solve the “boring” problems in healthcare. Marymount Labs was born out of NUS Medicine Health Hack in early 2024 and has since raised a pre-seed round to address policy complexity in healthcare - from Healthier SG payments to medical coding and billing. The sharing will be done in two parts: (1) the startup’s approach to AI applications in healthcare (“make AI boring”), and (2) a more technical discussion on the limitations of modern AI techniques on seemingly trivial healthcare admin workflows. (Technical Difficulty: 200)

​More about the Speakers

• ​Chi Ling, Chan is the Founder and Director of Equitech Collective (equity.tech) and a Consultant with WHO (Innovation and Research). She held senior appointments at Govtech Singapore, the Ministry of Health, and the Smart Nation Digital Government Group, leading key initiatives during the COVID-19 pandemic including Singapore's COVID-19 vaccination rollout. Outside of her professional roles, she co-founded Better.sg, a techforgood movement in Singapore, and serves on the Digital Board Committee for the National Volunteer & Philanthropy Centre. For her work in the public and people sectors, Chi Ling was recognized among Singapore’s 100 Women in Technology. When she’s not building products, she plays jazz.

• ​Megan Yee is a Product Engineer at Equitech who leads engineering for Medibot and digital identity systems for LMMICs. She brings a wealth of professional experience, having worked as a software engineer across diverse industries, from pre-seed to series A startups in both the Bay Area and Singapore, with a focus on education, fintech, and AI.

• ​Dr. Samantha Chan is an Assistant Professor at NTU Singapore's College of Computing and Data Science and a Research Affiliate at MIT Media Lab. As Director of the Crafting Cognition Lab, she focuses on creating technologies that enhance human cognition and potential. Her research in HCI and AI includes work on wearables, physiological sensing, brain-computer interfaces, and extended reality applications. Dr. Chan also holds a Ph.D. in Bioengineering from the University of Auckland and a B.Eng from SUTD. Her lab at NTU is currently recruiting researchers. For more information, visit samanthachan.net.

• ​Zacchaeus is the technical co-founder of Marymount Labs, a venture-funded healthtech startup that is addressing policy complexity in healthcare. He is also the co-founder of HealthGen Pte Ltd, a commercial spin-off based on behavioural chronic disease management research led by the National University of Singapore and SingHealth. Previously, he was a software engineer at Unit21, a Series C fraud detection / AML startup in the Bay Area, where he specialised in developing big data infrastructure. 

​NOTE: Sharings will begin at 3pm! Attendance is prioritized for Lorong AI members.

​About Lorong AI

​Lorong AI is a co-working hub where AI practitioners connect, share knowledge, and grow through curated programming and a collaborative environment. Home to programmes like AI Wednesdays and AI ToolsDays, Lorong AI offers hands-on workshops, technical deep dives, and opportunities to solve real-world challenges with AI.