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Columbia Welcomed Top ML Leaders to Machine Learning for Healthcare Conference; DBMI Faculty, Trainees Shared Research
Columbia University served as host for the Machine Learning for Healthcare (MLHC) 2023 Conference, which will be held Aug. 11-12 inside Lerner Hall.
MLHC is an annual research meeting that exists to bring together two usually insular disciplines: computer scientists with artificial intelligence, machine learning, and big data expertise, and clinicians/medical researchers. MLHC supports the advancement of data analytics, knowledge discovery, and meaningful use of complex medical data by fostering collaborations and the exchange of ideas between members of these often completely separated communities. To pursue this goal, the event includes invited talks, poster presentations, panels, and ample time for thoughtful discussion and robust debate.
Members of the both the Department of Biomedical Informatics and the greater Columbia Community were heavily involved in MLHC, including organizing the event, sharing research and presenting talks during the two days.
Katrina Armstrong, the Chief Executive Officer of the Columbia University, Irving Medical Center (CUIMC), provided opening remarks during the conference, while Shalmali Joshi, Assistant Professor of Biomedical Informatics who served as a program chair and member of the local organizing committee, helped introduce the event.
Top: Katrina Armstrong, CEO of CUIMC, kicked off MLHC with her thoughts on the potential for machine learning to impact healthcare. Bottom: Program co-chair Shalmali Joshi introduced the morning speakers.
Adjunct Assistant Professor of Biomedical Informatics Patrick Ryan provided a Day 1 talk on “Observational Health Data Sciences and Informatics (OHDSI): An open science journey toward machine learning for healthcare.” Among other DBMI representation, chair Noémie Elhadad and assistant professor Gamze Gürsoy both shared research papers, while other trainees presented posters.
“AI and ML is now ubiquitous and the latest revolutions in generative AIs like Large Language Models are setting up to change healthcare forever,” Joshi said prior to the event. “It is an exciting time to be involved in the cutting-edge research at the forefront of AI and healthcare, and MLHC 2023 is the go-to conference to learn what is happening, and what is coming. MLHC takes pride in its excellent peer-review process where every submission is reviewed not just by AI researchers, but also clinicians who are able to vet the clinical validity and utility of the proposed research.”
"AI and ML is now ubiquitous and the latest revolutions in generative AIs like Large Language Models are setting up to change healthcare forever. It is an exciting time to be involved in the cutting-edge research at the forefront of AI and healthcare, and MLHC 2023 is the go-to conference to learn what is happening, and what is coming."
“I believe that by hosting this event, Columbia University is showing its commitment to responsibly engaging with the frontier of AI research in health and medicine,” Joshi added. “As a PhD student this was the conference that made me pursue an academic career in AI and health and what better opportunity than to give back to the conference by helping to host it at Columbia University. I’m very proud to be part of DBMI, a department that is at the forefront of improving healthcare, and equity in health using AI. Many current and former members of our department are helping organize MLHC.”
