Presented by: Julie Wu, MD, Medical Oncologist, VA Palo Alto Healthcare System and VA National Oncology Program.
Talk Title: “EHR Analytics with GenAI: a Nationwide Case Study of the Longstanding Smoking History Problem”
Bio: Julie Wu is a medical oncologist at the VA Palo Alto Healthcare System and with the VA National Oncology Program. Julie’s research interests are in generative AI for large-scale EHR analytics, lung cancer screening and second primary lung cancer, and precision oncology.
Anyone can attend and happy hour conditions apply here too.
For inquiries regarding full location and Zoom detail instructions, please contact Ana Mezynski <mezynski@stanford.edu>
Presented by: Katherine Arnow, MS, Senior Biostatistician, S-SPIRE Center, Department of Surgery, Stanford University
Presented by: Stephanie Chao, MD, Assistant Professor of Surgery, Pediatric Surgery, Stanford University.
Bio: Dr. Stephanie Chao, MD is a general surgery specialist in Stanford, CA. She is affiliated with medical facilities Good Samaritan Hospital and Lucile Packard Children’s Hospital Stanford.
Presented by: Laura Graham, PhD, Health Services Researcher, Department of Surgery, Stanford University
Talk Title: “An Updated Primer to VA Data (2024)”
Bio: Dr. Graham is a health services researcher with extensive experience in data management and analysis, particularly focusing on surgical outcomes research using large administrative datasets from the Veterans Health Administration (VA) and other single site healthcare systems. Her research interests include improving the processes of clinical care using causal inference methodologies and implementation science to translate evidence into practice. Her research has significantly contributed to understanding and improving surgical outcomes, particularly within the VA healthcare system, through rigorous epidemiological and health services research methods.
Anyone can attend and happy hour conditions apply here too.
For inquiries, please contact Ana Mezynski <mezynski@stanford.edu>
Presented by: Dr. David Spain & Dr. Arden Morris
Bio: Dr. David A. Spain is the David L. Gregg, MD Professor and Chief of Acute Care Surgery. His clinical areas of specialty are emergency and elective general surgery, trauma and critical care. His research focus is assessment of clinical care, systems of care and assessment of stress response and PTSD after trauma. He is the current President of the American Association for the Surgery of Trauma. He is a Councilor of the American Board of Surgery and Director of the Surgical Critical Care board. He is the editor of the textbook Scientific American’s Critical Care of the Surgical Patient. Dr. Spain is also the General Surgery Residency Program Director at Stanford.
Bio: Arden M. Morris, MD, MPH is Professor of Surgery and Vice-Chair for Research in the Stanford Department of Surgery. She is Director of the S-SPIRE Center, a health services research collaborative to study patient-centered care, clinical optimization, and health care economics. In her own work, Dr. Morris uses quantitative and qualitative research methods to focus on quality of and equity in cancer care. She serves as vice-chair of the Commission on Cancer’s National Accreditation Program for Rectal Cancer Quality Committee, American Society of Colon and Rectal Surgeons’ representative to the American Joint Commission on Cancer, and Chair of the ACS Cancer Surgery Standards Program Implementation and Integration Committee.
Presented by:
Yewon Ashley Son, BS, Research Data Analyst, S-SPIRE Center
&
Heather Selby, PhD, Research Scientist, S-SPIRE Center, Surgery, Stanford University
Talk Title: “Using MRI, Radiomics, and AI to Predict Rectal Cancer Response: Insights from the SHORT-FOX Phase II Clinical Trial.”
Bio: Ashley Y Son, BS is a Research Data Analyst for the Stanford-Surgery Policy Improvement Research & Education Center (S-SPIRE). Ashley received her bachelor’s degree in Statistics and Data Science at the University of California, Santa Barbara.
Bio: Heather Selby is a Basic Life Research Scientist for the Stanford-Surgery Policy Improvement Research & Education Center (S-SPIRE). Heather is interested in developing medical imaging-based AI models to identify patients with locally advanced rectal cancer who achieve a clinical complete response to neoadjuvant chemoradiotherapy, with the goal of sparing them from surgery and its associated risks.
For inquiries, please contact Ana Mezynski.