Led by Drs. Toren Finkel and Melanie Königshoff, the TriState SenNet TMC combines the expertise of faculty from Pitt, CMU, OSU, and URMC to develop a high-resolution map of the senescent cell population in the human lung and heart, define the physiological drivers of senescence, and provide a rational approach to understand the therapeutic potential of senolytic therapy.
To better understand potential damage that emerging vaping products may have on human lungs, Dr. Benam and his team have created a first-in-kind biologically inspired robotic system that quantitatively analyzes submicron and microparticles generated from electronic cigarettes in real-time while mimicking clinically relevant breathing and vaping topography exactly as happens in humans.
In a recent Nature Communications article, the Chen lab discuss how a high-throughput screen could be used to identify FDA-approved compounds that may resist SARS-CoV-2 infection.
This new office will advance and enrich interprofessional learning in the health sciences through embracing new technologies from across and beyond the institution while ensuring that technological advances are more integrated, accessible and equitable.
Given that the research mission of the Department of Medicine and the development and sustainment of the career development pipeline remain central tenants of our academic vision, it is our pleasure to announce the appointment of Oliver Eickelberg, MD, as Vice Chair for Basic and Translational Research.
PACCM docs Burton Lee, MD, and Megan Acho, MD, have developed peer-reviewed videos to help train doctors outside the field use ventilators on COVID-19 patients. (Alyson Lee)
Congratulations to the 2019 awardees!
Dr. Ron Poropatich and team are developing a fully autonomous medical backpack to assist soldiers who treat trauma victims in the field.
Alison Morris, MD, MS, has been appointed chief of the Division of Pulmonary, Allergy and Critical Care Medicine (PACCM) beginning July 1, 2019. She is currently the vice chair for Clinical Research in the Department of Medicine.
More than 95 percent of people who screen positive for lung cancer don’t actually have it, but AI could change that.