The Big in Big Data
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Breakthrough Discoveries, Disease Disparities, and Precision Medicine: A Computational Medicine Center Symposium on big data and disease disparities
The nature of Precision Medicine is quickly changing from "genome-facing" to “patient-facing.” Technological advances have been enabling breakthroughs on a number of fronts. We are already experiencing these advances in our daily activities with the omnipresence of fitness trackers and of health record graphs that are available to consumers through the likes of Apple, 23andme, Fitbit, etc. An analogous revolution is in the making on the basic research end of things. Research work in the last several years at Jefferson's Computational Medicine Center (CMC) has broken new ground in this regard. The CMC's researchers have been trailblazing in this regard by making and reporting many discoveries that redefine the very concept of disease. By analyzing data from thousands of healthy individuals and patients, the CMC team has uncovered numerous novel regulatory molecules and showed that their abundance profiles depend on an individual's sex, population origin, and race/ethnicity as well as on tissue, tissue state, and disease. Moreover, the team showed that these molecules regulate important genes differentially by sex, race/ethnicity, etc. in cancers with known disparities whose molecular underpinnings had remained elusive until now. The CMCs team's findings are beginning to provide much needed mechanistic explanations to observations that have been appearing in the literature in recent years by other teams.
The symposium will place emphasis on how, going forward, one must take into account attributes of a patient whose role in the onset and progression of disease had not been appreciated until now.
Through a series of interconnected presentations, this symposium will present these emerging findings and put them in the context of understanding disease disparities, and designing better diagnostics and novel therapeutics.
At this 1.5-day symposium the attendees will receive specific examples of how these new molecules can be used to implement accurate diagnoses and improved prognoses. And will hear novel opportunities to create powerful therapeutics. In both cases, i.e. diagnostics and therapeutics, the attendees will learn how to use computation and existing tools to identify molecules of interest that they can then pursue experimentally.
This course is designed for all primary care and specialists working in breast cancer, prostate cancer, lung cancer, bladder cancer medicine, and allied health professionals.
For information regarding parking and directions please visit: http://www.jefferson.edu/university/maps-and-directions/center-city.html
Parking is available in the Dorrance H. Hamilton Building (entrance on 11th Street). Discounts are not available.
The nearest hotel to Thomas Jefferson University Campus is the Holiday Inn Express Midtown located at 1305 Walnut Street.
Holiday Inn Express Midtown
1305 Walnut Street
Philadelphia PA, 19107
Rates: $134 special hospital/university rate
No extra person charge. Includes complimentary breakfast, free access to wireless internet and onsite fitness center. Parking is $27 per day (with in and out privileges).
For additional hotels in the area, that also offer a Jefferson rate, please visit: http://hospitals.jefferson.edu/patients-and-visitors/center-city/hotels-and-lodging/
- Any significant financial relationships with the manufacturer(s) of any commercial products, goods or services
- Any unlabeled/unapproved uses of drugs or devices discussed in their presentations.
Such disclosures will be made in writing in the course presentation materials. Jefferson Conflict of Interest resolution process may result in changes to the program agenda.
Sidney Kimmel Medical College at Thomas Jefferson University is accredited by the ACCME to provide continuing medical education for physicians. Sidney Kimmel Medical College at Thomas Jefferson University designates this live activity for a maximum of 6.5 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
The American Academy of Physician Assistants accepts AMA PRA Category 1 Credit(s)™. (www.aapa.org).
- 6.50 AMA PRA Category 1 Credit™
- 6.50 Attendance
The base registration fee for this course is $400.00. Depending on your fee type this fee will be reduced to match the amount shown below to reflect the appropriate fee
Big Data Registration
Students (Jefferson & Affiliates, Non-Jefferson)
Faculty / Physicians / Other Health Professionals (Jefferson & Affiliates)
Faculty / Physicians / Other Health Professionals (Non-Jefferson)
Industry & Other Non-Academic
HOW TO REGISTER
To register online, you must have a CPD @ JeffLearn account.
If paying by check, please fill out paper registration and mail to the address listed on the form.