ASIP Member Spotlight – Richard N. Mitchell, MD, PhD

Richard N. Mitchell, MD, PhD Dr. Richard (Rick) Mitchell is a long-time member of the American Society for Investigative Pathology and is currently serving as President of the Society. Dr. Mitchell has been a member of the ASIP since 1991 and has served in many different capacities over the years. Dr. Mitchell served on the [...]

Globally recognized ASIP Member receives distinguished professorship

Professor Vinay Kumar University of Chicago (Photo uchicago.edu) Dr. Vinay Kumar has been named the Lowell T. Coggeshall Distinguished Service Professor in the Department of Pathology. He is a long-time ASIP Member and was the recipient of the 2019 ASIP Gold-Headed Cane Award which is the highest honor granted by the American Society for Investigative Pathology. [...]

Webinar: Autopsy Insights into the Pathogenesis of COVID-19: Questions and Answers

This webinar saw close to 300 participants; thank you again for your participation.  Due to the heavy volume of participation and the extent of engagement from the attendees, we followed up with our speakers Drs. L. Maximilian Buja (LMB) and Richard Vander Heide (RVH), who diligently responded to the questions that could not be addressed [...]

Robin G. Lorenz, MD, PhD – Member Spotlight

Robin G. Lorenz, MD, PhDSenior Director, Department of PathologyGenentech, Inc., South San Francisco, CA, USA Dr. Robin Lorenz is a long-time member of the American Society for Investigative Pathology and has recently served in leadership. She was an At-Large Member of the ASIP Council from 2016-2019, and is currently the ASIP Representative to the Training [...]

A New Book, “Artificial Intelligence and Deep Learning in Pathology” was edited by longtime ASIP Member Dr. Stan Cohen

Stanley Cohen, MD Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the [...]