Understanding what can and can’t be learned from computation, presented by Timothy Lezon, PhD, Department of Computational & Systems Biology. Like any research tool, computational modeling is most effective if the user has a good feel for its inner workings. Communication failure between quantitative and wet bench scientists can doom transdisciplinary projects. This session will address the strengths and limitations of computational models, and will explore strategies for effectively communicating across disciplines.

Disclaimer Statement

The information presented at this CME program represents the views and opinions of the individual presenters, and does not constitute the opinion or endorsement of, or promotion by, the UPMC Center for Continuing Education in the Health Sciences, UPMC / University of Pittsburgh Medical Center or Affiliates and University of Pittsburgh School of Medicine.  Reasonable efforts have been taken intending for educational subject matter to be presented in a balanced, unbiased fashion and in compliance with regulatory requirements. However, each program attendee must always use his/her own personal and professional judgment when considering further application of this information, particularly as it may relate to patient diagnostic or treatment decisions including, without limitation, FDA-approved uses and any off-label uses