PHIND Seminar Series October: ‘Progression of Clonal Hematopoiesis of Indeterminate Potential to Acute Myeloid Leukemia’
Ravi Majeti, MD, Ph.D.
Professor of Medicine
Chief, Division of Hematology
Institute for Stem Cell Biology and Regenerative Medicine
Stanford University
Munzer Auditorium (B060), Beckman Center
11:00am-12:00pm – Seminar and Discussion
12:00pm-12:15pm – Reception (light refreshments provided)
RSVP Here: https://www.onlineregistrationcenter.com/register/222/page1.asp?m=298&c=39
ABSTRACT: Myeloid malignancies are cancers of the blood lineage including myeloproliferative neoplasms (MPN), myelodysplastic syndromes (MDS), and acute myeloid leukemia (AML) with more than 40,000 new diagnoses annually in the United States. These diseases cause significant morbidity and mortality due to associated bone marrow failure leading to anemia, bleeding, and infections, and are currently treated with targeted therapies, chemotherapy, and allogeneic bone marrow transplantation. Next generation DNA sequencing has determined the spectrum of mutations associated with these cancers and has found that most cases are associated with multiple mutations that cooperate to cause disease. In our prior studies, we determined that these mutations are serially acquired in clones of self-renewing pre-cancerous/pre-leukemic blood stem cells. Separate studies analyzed blood sequencing data from large cohorts of individuals without disease and found these pre-leukemic mutations occur in the general population with increasing frequency and incidence with age. As only a minor subset of these individuals eventually progressed to develop myeloid malignancy, this entity was termed clonal hematopoiesis of indeterminate potential (CHIP). One major issue with implications for the transition from health to disease is to understand what factors influence the progression from CHIP to myeloid malignancy. In order to investigate this question, we have developed models for CHIP/pre-leukemia through the CRISPR-mediated engineering of normal human blood stem and progenitor cells. By introducing mutations in the TET2 and ASXL1 genes that are commonly mutated in CHIP, we have established models for the cell intrinsic processes of progression to myeloid malignancy and are now poised to examine cell extrinsic processes that can affect such progression. Establishing these models is key to investigating measures to eventually prevent development of myeloid malignancy.
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
Thursday MIPS Roundtable: “Ask the Radiologist about COVID-19”
Hosted by Dr. Heike Daldrup-Link & Dr. Gunilla Jacobson
Join us virtually to ask anything you would like to know about COVID-19 and the current status in our community. This week we will open the floor for questions. Please prepare questions related to COVID-19. Feel free to submit questions in advance to Ashley Williams (ashleylw@stanford.edu) or submit them in the chat on Zoom.
Meeting URL: https://stanford.zoom.us/j/186504700
Dial: +1 650 724 9799 or +1 833 302 1536
Meeting ID: 186 504 700c talking about the future of medicine and science.
Thursday MIPS Roundtable
Hosted by Dr. Kathy Ferrara & Dr. Gunilla Jacobson
Join us virtually to ask anything you would like to know about career plans, collaborations, new expertise and online lectures during the shutdown. Feel free to submit questions in advance to Ashley Williams (ashleylw@stanford.edu) or submit them in the chat on Zoom.
1:30-2:00 PM | Dr. Kathy Ferrara, Ph.D.
“Developing a career plan, collaborations and new expertise during the shutdown”
Professor of Radiology
Stanford University
2:00-2:30 PM | Dr. Angie Louie, Ph.D.
“How to create online lectures using Camtasia, Playposit and Canvas”
Professor of Biomedical Engineering
UC Davis
Meeting URL: https://stanford.zoom.us/j/186504700
Dial: +1 650 724 9799 or +1 833 302 1536
Meeting ID: 186 504 700
Thursday MIPS Roundtable: ePad: A Web-based Imaging Informatics Platform for Image Annotation and Quantitative Analysis
Come learn about ePAD (https://epad.stanford.edu) from Dr. Rubin’s lab, a freely-accessible web-based informatics platform for universal access to radiology images, annotations, and quantitative analysis. We’ll also open the floor to a discussion on integrating ePAD into the SCi3 preclinical imaging workflow and how together we can crowdsource data sharing and reuse, and accelerate quantitative imaging research for everyone.
Daniel Rubin, PhD
Professor of Biomedical Data Science, of Radiology, of Medicine, and, by courtesy, Ophthalmology and of Computer Science
Jason Thanh Lee, PhD
Director of the Clark Center Facility
Laura Pisani, PhD
Associate Director of the Clark Center Facility
Frezghi Habet, PhD
Director of the Porter Drive Facility
MIPS Roundtables will be every Thursday from 1:30-2:30pm showcasing various topics and are open to all interested.
Please note Zoom information does change week to week.
4/9 Meeting URL: https://stanford.zoom.us/j/114866791
Dial: +1 650 724 9799 or +1 833 302 1536
Meeting ID: 114 866 791
Thursday MIPS Roundtable: Dr. Michelle James & Dr. Ted Graves
1:30-2:00 PM – Michelle L. James, Ph.D.
Neuroimmune Imaging Research and Discovery (NiRD) Lab
Assistant Professor of Radiology and of Neurology
Stanford University
2:00-2:30 PM – Edward “Ted” Graves, Ph.D.
Imaging Radiobiology Laboratory, Division of Radiation Oncology Medical Physics
“Using Imaging to Study Radiation Biology”
Associate Professor of Radiation Oncology (Radiation Physics) and, by courtesy, of Radiology
Stanford University
MIPS Roundtables will be every Thursday from 1:30-2:30pm showcasing various topics and are open to all interested.
Please note Zoom information does change week to week.
4/16 Meeting URL: https://stanford.zoom.us/j/406957830
Dial: +1 650 724 9799 or +1 833 302 1536
Meeting ID: 406 957 830
PHIND Seminar Series: The Behaviorome in Precision Medicine
Kevin Schulman, M.D.
Professor of Medicine (Hospital Medicine) and, by courtesy, of Economics a the Graduate School of Business
Stanford University
12:00pm – 1:00pm Seminar & Discussion
RSVP here: https://www.onlineregistrationcenter.com/KevinSchulman
Meeting URL: https://stanford.zoom.us/j/514973612
Dial: +1 650 724 9799 (US, Canada, Caribbean Toll) or +1 833 302 1536 (US, Canada, Caribbean Toll Free)
Meeting ID: 514 973 612
ABSTRACT
The revolution in biomedical technology that is allowing us to develop the concept of precision medicine has a fatal flaw. Medical science has focused on risk prediction in the hopes of using risk information to influence health behaviors. However, there is little evidence to support the notion that risk information alone influences individual behavior at scale. Concurrent with the development of the field of precision medicine is an even larger revolution in understanding of the behavior of populations using digital technology. Marketing, the science underlying these advances, offers tools and insights to help guide our understanding of how to translate risk information into behavior change. To date, marketing has been used for mass-customization of products and services outside of clinical medicine. For example, each of us has the opportunity to enjoy streaming video programs that suit our tastes and desires. This delightful consumer experience developed in an iterative fashion based on tight linkages between prediction and behavior. In this case, data are used to develop population segments that are likely to respond similarly to movie suggestions. In this talk, we’ll discuss how a better understanding of behavior in the health care realm, the Behaviorome, will help solve the last mile problem of Precision Medicine.
ABOUT
Dr. Schulman serves as Professor of Medicine, Associate Chair of Business Development and Strategy in the Department of Medicine, Director of Industry Partnerships and Education for the Clinical Excellence Research Center (CERC) at the Stanford University School of Medicine, and, by courtesy, Professor of Economics at Stanford’s Graduate School of Business.
Dr. Schulman’s research interests include organizational innovation in health care, health care policy and health economics. With over 300 original articles, 90 review articles/commentaries, and 40 case studies/book chapters, Kevin Schulman has had a broad impact on health policy (h-index = 61). His peer-reviewed articles have appeared in the New England Journal of Medicine, JAMA, and Annals of Internal Medicine. He is a member of the editorial/advisory boards of the American Heart Journal, Health Policy, Management and Innovation (www.HMPI.Org), and Senior Associate Editor of Health Services Research.
At Duke’s Fuqua School of Business, Dr. Schulman oversaw the growth of the health sector management program, graduating almost 1500 students. He is the Founding Director of the unique Master of Management in Clinical Informatics program (MMCi), originally offered through the Fuqua School of Business and now housed in the Duke University School of Medicine. He has served as a Visiting Professor in General Management at Harvard Business School from 2013-2016, and a visiting scholar from 2016-2018. At Stanford, he teaches a course on Health IT and Strategy at the GSB.
He is the Founding President of the Business School Alliance for Health Management (http://www.BAHM-Alliance.Org), which is a consortium of the leading business schools offering health management programs.
He is an elected member of ASCI and AAP.
Hosted by: Sanjiv Sam Gambhir, M.D., Ph.D.
Sponsored by the PHIND Center and the Department of Radiology