Medicine Grand Rounds - Wisdom of the Crowd or Tyranny of the Mob? @ Li Ka Shing Center for Learning and Knowledge, Berg Hall, 2nd Floor | Stanford | California | United States
Presenter: Jonathan Chen, MD, PhD Instructor, General Medical Disciplines and Research Fellow, PCOR Stanford University Jonathan Chen is an instructor in the Stanford Department of Medicine. His research interests focus on data-mining electronic medical records[...]
Research in Progress: Improving the Detection of Adverse Drug Events Mining the Biomedical Literature  and Electronic Medical Records @ MSOB Conference Room X-275 | Stanford | California | United States
Presenter: Rainer Winnenburg, PhD Postdoctoral Scholar, BMIR Stanford University About the Event: In this talk, I will present recent progress in our attempt to apply Enrichment Analysis (EA) for pharmacovigilance. EA is a technique commonly[...]
Medicine Grand Rounds - From ICD-11 to Robot Scientists: How the Use  of Ontology in Informatics is Advancing Biomedicine @ Li Ka Shing Center for Learning and Knowledge, Berg Hall, 2nd Floor | Stanford | California | United States
Presenter: Mark Musen, MD, PhD Professor, Medical Informatics and of Biomedical Data Science Stanford University Dr. Musen is Professor of Biomedical Informatics at Stanford University, where he is Director of the Stanford Center for Biomedical[...]
Medicine Grand Rounds - Performing an Informatics Consult @ Li Ka Shing Center for Learning and Knowledge, Berg Hall, 2nd Floor | Stanford | California | United States
Presenters: Nigam Shah, MBBS, PhD Associate Professor, Biomedical Informatics Research Stanford University Dr. Nigam Shah is associate professor of Medicine (Biomedical Informatics) at Stanford University, Assistant Director of the Center for Biomedical Informatics Research, and[...]
BMIR Research in Progress: Katie Quinn "Mining Observational Health Data to Discover Risky Multi-drug Combinations" @ MSOB, Conference Room X-275 | Stanford | California | United States
Katie Quinn Postdoctoral Scholar Shah Lab, Stanford University Abstract: Concurrent use of multiple prescription drugs is widespread, with over 10% of Americans currently prescribed 5 or more drugs. Adverse drug reactions result in significant morbidity,[...]
Center for Population Health Sciences Guest Lecturer: Roger Thurow @ Encina Commons, Room 117 | Stanford | California | United States
Roger Thurow Senior Fellow, Global Food Agriculture The Chicago Council on Global Affairs Event Information and Registration Please join us in welcoming Roger Thurow who will be visiting Stanford on the eve of his most recent publication,[...]
Medicine Grand Rounds: Using Data, Information, and Knowledge to Improve Health and Well-being for Vulnerable Populations @ LKSC, Paul Berg Hall | Palo Alto | California | United States
Presenter: David Dorr, MD, MS Assistant Professor, Medical Informatics and Clinical Epidemiology Oregon Health and Science University David A. Dorr, MD MS, earned his BA in Economics (with minors in Mathematics and Psychology) and his[...]
BMIR Research Colloquium: Matthew Lungren M.D., Darvin Yi "Optimizing Deep Learning for Medical Image Informatics" @ MSOB, Conference Room X-275 | Stanford | California | United States
Matthew Lungren M.D. Assistant Professor of Radiology (Pediatric Radiology) Darvin Yi Graduate Student Stanford University ABSTRACT: With the explosion of deep learning for computer vision, the medical imaging field is well into exploring these new[...]
BMIR Research in Progress: Azadeh Nikfarjam "Drug Safety Information Extraction from Social Media" @ MSOB, Conference Room X-275 | Stanford | California | United States
Azadeh Nikfarjam Postdoctoral Scholar BMIR, Stanford University ABSTRACT: Adverse drug reactions (ADRs) are a major public health concern and are among the top causes of morbidity and mortality. Many ADRs, are not identified in pivotal[...]
Center for Population Health Sciences Seminar Series: Denis Newman-Griffis, NIH @ Li Ka Shing Learning and Knowledge Center | Stanford | California | United States
Natural language processing approaches to extracting patient functioning from clinical data Natural language processing (NLP) has become a significant tool in clinical informatics research, leading to advances in electronic phenotyping, adverse drug event detection, and[...]
ID Lecture Series: "Tick-borne Infections" @ Li Ka Shing Center, LK208
  Presenter: Jose G. Montoya, MD; Professor of Medicine (Infectious Diseases and Geographic Medicine) at the Stanford University Medical Center. Zoom Meeting ID: 790-915-319
BMIR Research Colloquium: Ramesh Raskar, PhD "Health Grid: Making Invisible Visible with Data, ML and Devices" @ MSOB Conference Room X275
Ramesh Raskar, PhD; Associate Professor Head of the MIT Lab’s Camera Culture Research Group Massachusetts Institute of Technology   Abstract: A new class of digital health platforms and a data-transparent health ecosystem can provide tremendous[...]