PHIND Seminar Series November: ‘ What You Always Wanted to Know about Economics, Payer Coverage, and Big Data for Precision Health – But Were Afraid to Ask’
Kathryn Phillips, Ph.D.
Professor of Health Economics
Founding Director of the UCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS)
Department of Clinical Pharmacy
UCSF
Li Ka Shing Center, LK101
11:00am-12:00pm – Seminar and Discussion
12:00pm-12:15pm – Reception (light refreshments provided)
RSVP Here: https://www.onlineregistrationcenter.com/KathrynPhillips
ABSTRACT: Precision Health offers an opportunity to achieve “high value care” through innovative approaches. However, in order to fulfill this objective, we must demonstrate its economic value, someone must be willing to pay the costs, and there has to be data available to provide the needed evidence. In this talk, I will draw on my research over the past decade examining (1) how to measure the value of complex technologies such as Precision Health, (2) what payers cover and how they decide to provide coverage, and (3) how Big Data can be leveraged. I will also describe “lessons learned” about successful adoption from working with dozens of start-ups, VCs, and biotech companies. The talk will illustrate these issues using the case study of “liquid biopsy” – a potentially transformative technology that illustrates both the opportunities and challenges for Precision Health.
PHIND Seminar Series: “Prediction of Future Lymphoma Development Based on DNA Methylation Profiles from Peripheral Blood”
Almudena Espin Perez, PhD
Postdoctoral Research Fellow
Biomedical Informatics
Stanford University
Beckman Center, Munzer Auditorium (B060)
12:00pm – 1:00pm Seminar & Discussion
1:00pm – 1:15pm Reception & Light Refreshments
RSVP here: https://www.onlineregistrationcenter.com/APerez
ABSTRACT
Subjects with Non-Hodgkin Lymphoma (NHL) have abnormal lymphocytes that multiply and accumulate to form tumors in the lymph nodes and other organs. Currently, there are no predictive models with high performance that can predict the risk of developing NHL.
We present a computational framework that accurately predicts future (up to 16 years) NHL from a signature based on DNA methylation profiles of peripheral blood samples. We studied differences in specific DNA methylation levels from blood samples between future NHL group and the control group (470 samples) from two prospective cohorts. We developed a predictive model using advanced artificial intelligence methods for NHL diagnosis based on a set of key CpG sites. The validation tests showed that our signature 1) predicts mainly “control” in an independent population of 656 healthy subjects, 2) predicts “future case” with extremely accurate performance in tissue samples from four independent NHL cohorts (662, 29, 31 and 29 subjects), with one of the cohorts (662 subjects) corresponding to children with B-cell lymphoma, 3) predicts mostly healthy in a cohort of children with 74 children in remission, 4) works for both HIV positive subjects and HIV negative subjects, 5) yields almost perfect predictions regardless of the NHL subtype, and 6) is 84% accurate at predicting T-cell lymphoma in children, despite its derivation in B-cell lymphoma in adults.
ABOUT
Almudena Espin Perez’s interests include developing algorithms and novel computational methods for early cancer detection. High-throughput technologies in the field of molecular biology are generating huge amounts of biological data and transforming the scientific landscape. A major focus of her research is on building computational methods to 1) study genomics and epigenetic data 2) integrate genomics and imaging data at single-cell level resolution and 3) leverage existing large-scale transcriptomic datasets to address relevant biological questions by developing computational deconvolution tools to infer the abundance of different cell types from mixed cell populations. Dr. Perez aims to improve the understanding of the molecular mechanisms behind cancer development, which could potentially lead to biomarker discovery and improve early detection, treatment strategies and decision-making.
Hosted by: Sanjiv Sam Gambhir, M.D., Ph.D.
Sponsored by the PHIND Center and the Department of Radiology
Please note this seminar is now cancelled and will be rescheduled for a future date. Please contact Ashley Williams (ashleylw@stanford.edu) with any questions or concerns. Thank you for your understanding!
PHIND Seminar Series: “A Stroke Monitoring and Alert System for a Future Without Late Presentation”
Orestis Vardoulis, Ph.D.
Postdoctoral Research Fellow
Pediatric Surgery
Stanford University
Mini-Grand Rounds: Emerging treatment strategies for COVID-19
Aruna Subramanian, MD
Clinical Professor, Medicine
Stanford University
David Ha, PharmD
Infectious Disease Resident
Stanford University
7:00am – 7:30am, Zoom
The Stanford Radiology Mini-Grand Round live session events are by invitation only. Invites with link to Zoom video will be sent via email to Department faculty and staff only. Recordings will be made available to the public shortly after the event.
Mini-Grand Rounds: Effective faculty-trainee workflow and education during the COVID-19 pandemic
Payam Massaband, MD
Clinical Associate Professor, Radiology
Stanford University
7:00am – 7:30am, Zoom
The Stanford Radiology Mini-Grand Round live session events are by invitation only. Invites with link to Zoom video will be sent via email to Department faculty and staff only. Recordings will be made available to the public shortly after the event.
Mini-Grand Rounds: CoVID19: Lessons learned from the global response
Michele Barry, MD, FACP
Drs. Ben & A. Jess Shenson Professor
Senior Associate Dean, Global Health
Director, Center for Innovation in Global Health
Professor of Medicine & Senior Fellow at the Woods Institute and at the Freeman Spogli Institute
7:00am – 7:30am, Zoom
The Stanford Radiology Mini-Grand Round live session events are by invitation only. Invites with link to Zoom video will be sent via email to Department faculty and staff only. Recordings will be made available to the public shortly after the event.
Mini-Grand Rounds: How to stay productive during the COVID-19 pandemic
Garry Gold, MD
Vice Chair, Research and Organization
Professor, Radiology
Stanford University
7:00am – 7:30am, Zoom
The Stanford Radiology Mini-Grand Round live session events are by invitation only. Invites with link to Zoom video will be sent via email to Department faculty and staff only. Recordings will be made available to the public shortly after the event.
Mini-Grand Rounds: Update on COVID-19
Shanthi Kappagoda, MD, MS
Clinical Associate Professor, Medicine – Infectious Diseases
Stanford University
7:00am – 7:30am, Zoom
The Stanford Radiology Mini-Grand Round live session events are by invitation only. Invites with link to Zoom video will be sent via email to Department faculty and staff only. Recordings will be made available to the public shortly after the event.
Mini-Grand Rounds: SHC preparedness and mitigation plans for the COVID-19 pandemic
Alison Kerr
Vice President, Neuroscience and Orthopedic Service Lines
CAO of Clinical Operations
Stanford Health Care
7:00am – 7:30am, Zoom
The Stanford Radiology Mini-Grand Round live session events are by invitation only. Invites with link to Zoom video will be sent via email to Department faculty and staff only. Recordings will be made available to the public shortly after the event.
Mini-Grand Rounds: In the frontlines of the COVID-19 pandemic
Sam Shen, MD, MBA
Associate Chief Quality Officer/Patient Safety Officer, SHC
Vice Chair, Clinical Operations & Quality
Clinical Associate Professor, Emergency Medicine
Stanford University
7:00am – 7:30am, Zoom
The Stanford Radiology Mini-Grand Round live session events are by invitation only. Invites with link to Zoom video will be sent via email to Department faculty and staff only. Recordings will be made available to the public shortly after the event.