Wednesday / CS Seminar

October 2nd / 12:00 PM

Hybrid / Mudd 3514

Speaker

Yan-Ran (Joyce) Wang, Stanford University

Talk Title

Advancing Healthcare Through AI and Machine Learning Innovations

Abstract

Healthcare is approaching one-fifth of the U.S. economy, roughly 10% of the global economy, yet it remains riddled with challenges such as inequitable access, an unprecedented demographic shift toward older populations, and unsustainably rising per capita costs. This convergence of forces signals an urgent need for innovative solutions. In my talk, I will explore how AI innovations, driven by the pressing needs of healthcare, are advancing both clinical and technological frontiers. I will present the impactful work of our team in developing safer medical imaging, automated diagnosis for cardiovascular diseases, and AI-powered precision oncology. Central to this work are specialized deep learning algorithms specifically designed for healthcare, with careful consideration of the underlying biological complexities. These advancements not only represent breakthroughs in medical diagnosis and treatment but have also expanded the possibilities for AI, particularly in computer vision, making a broader contribution to the AI landscape as a whole.

Biography

Dr. Yan-Ran (Joyce) Wang is a trailblazer in the intersection of artificial intelligence and healthcare. After completing her Ph.D. in Computer Science at Northwestern University in 2019, she joined Stanford's Biomedical Data Science and the Stanford Center for Artificial Intelligence in Medicine & Imaging (AIMI). Dr. Wang's research is at the intersection of artificial intelligence and healthcare, where she focuses on developing advanced machine learning methods inspired by healthcare challenges. Dr. Wang is committed to driving AI-enabled discoveries in complex human diseases, particularly in the fields of digital cardiology and precision oncology. As both first and corresponding author, Dr. Wang has published groundbreaking research in leading journals including Nature Medicine (2024), Cancer Cell (2024), European Journal of Nuclear Medicine and Molecular Imaging (2023), and Radiology: Artificial Intelligence (2023). Her work was notably highlighted in the July 2024 issue of Cancer Cell, where it was selected as a preview article, with an accompanying editorial from SickKids Hospital, the world's leading pediatric care institution. In addition to her impact in healthcare, Dr. Wang's contributions to computer vision and algorithm development have been showcased at premier conferences like CVPR, ICIP, AAAI, and ACM Multimedia.

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Zoom: https://northwestern.zoom.us/j/95736395513

Panopto: https://northwestern.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=978e7148-20f5-4379-bda4-b1ef01233708

DEI Minute: TBA