Center for Population Health Sciences Seminar Series: James Faghmous @ Li Ka Shing Center, Room LK 102 | Palo Alto | California | United States
James H. Faghmous, Ph.D. Assistant Professor & Founding CTO The Arnhold Institute for Global Health Icahn School of Medicine at Mount Sinai, NYC Event Information and Registration “Machine Learning for the Triple Aim: Advances, Challenges,[...]
BMIR Research in Progress: Hong Zheng "Benchmark of lncRNA Quantification for RNA-Seq of Cancer Samples" @ MSOB, Conference Room X-275 | Stanford | California | United States
Hong Zheng, Postdoctoral Scholar, BMIR, Stanford University ABSTRACT: Long non-coding RNAs (lncRNAs) emerge as important regulators of various biological processes. While many studies have exploited public resources such as The Cancer Genome Atlas to study[...]
Medicine Grand Rounds: Artificial Intelligence and Machine Learning in Medicine, Why, What and How? @ LKSC, Berg Hall | Palo Alto | California | United States
Presenter: Jonathan Chen, MD, PhD Assistant Professor of Biomedical Informatics Stanford University Jonathan H Chen MD, PhD is a physician-scientist with professional software development experience and graduate training in computer science. He continues to practice Internal[...]
XLDB 2018: Extremely Large Databases Conference @ Paul Brest Hall, Munger Graduate Residences | Stanford | California | United States
Join us at the 11th XLDB conference this year at Stanford University to hear from experts at the intersection of Machine Learning, IoT and Healthcare. We have two and a half days of discussions, with participation from[...]
Medicine Grand Rounds: Theranostics: The tale of a rare tumor, a receptor, and the FDA @ LKSC, Berg Hall | Palo Alto | California | United States
Presenter: Pamela Kunz, MD Assistant Professor of Oncology Stanford University Pamela Kunz, MD, specializes in the treatment of gastrointestinal malignancies with an expertise in the care of patients with neuroendocrine tumors (NETs). She has developed[...]
BMIR Research in Progress: Jason Fries, PhD "Program Your Training Data! Using Medical Domain Knowledge to Learn From Unlabeled Data” @ MSOB, Conference Room X275 | Stanford | California | United States
Jason Fries, PhD, Research Scientist, BMIR, Stanford University ABSTRACT: In biomedicine, obtaining expert-labeled training data is a key bottleneck to using machine learning methods. However, recent efforts such as Stanford’s Snorkel system are creating new[...]
BMIR Research Colloquium: Brandon Fornwalt MD, PhD “Applications of Data Science and Machine Learning in Radiology and Cardiology” @ MSOB Conference Room X275
Brandon Fornwalt MD, PhD Investigator II, Associate Professor Geisinger Health System Abstract: The overall goal of our group is to leverage data-driven approaches to help improve patient outcomes. This talk will demonstrate examples of how[...]