Hermann Pinkus Basic Science Course
From Pixels to Probes: Dermatopathology on the Cusp of Transformation
Thursday, October 20
4:00 p.m. - 6:30 p.m. CT
(Virtual)
Course Director
Jane L. Messina, MD
Moffitt Cancer Center
2.5 AMA PRA Category 1 Credits™
This year’s Basic Science Course will present practical in-depth updates on technologic advances in the realm of digital pathology, artificial intelligence, and cutting-edge molecular methods involving visualization of tissue, providing a view of an emerging field and its potential impact on daily dermatopathology practice, and how some of the established methods could be potentially implemented into practice.
The course will be comprised of four 30-minute lectures given by four speakers, concluding with a live Q&A session. The four topics to be discussed are:
- Digital Dermatopathology Sign-out: From Soup to Nuts – covering implementation of currently approved methods for digital pathology, touching on regulatory issues, as well as integrated platforms for reporting cases in a digital environment.
- Leveraging Machine Learning/Artificial Iintelligence to Improve Diagnosis in Dermatopathology: will include a discussion of current status of research on machine learning/AI on large data sets in dermatopathology and potential future implementations of this technology.
- The Skin Through Different Lenses: State of the Field in Other Methods – will discuss optical coherence tomography, high frequency ultrasound, spectroscopy and reflectance confocal microscopy. A variety of visualization techniques of potential practical interest to dermatopathology will be discussed, with focus on techniques in active clinical practice or have significant potential for implementation in the future. Many of these techniques are at the intersection of clinical dermatology and dermatopathology and are thus of interest to practicing dermatopathologists.
- Seeing at the Molecular Level: Spatial “Omics” will cover techniques of analysis that involve using digital images to guide further molecular analysis. It is the most “basic science” oriented of the topics.
Faculty and Course Outline:
| 4:00 p.m. – 4:05 p.m. CT |
Introductions
Jane L. Messina, MD
Moffitt Cancer Center |
| 4:05 p.m. – 4:35 p.m. CT |
Digital Dermatopathology Sign-out: From Soup to Nuts
Liron Pantanowitz, MD
University of Michigan |
| 4:35 p.m. – 5:05 p.m. CT |
Leveraging Machine Learning & AI to Improve Diagnosis in Dermatopathology
Jonhan Ho, MD
University of Pittsburgh Medical Center |
| 5:05 p.m. – 5:35 p.m. CT |
The Skin Through Different Lenses: State of the Field in Other Methods
Melissa Gill, MD
Karolinska University Hospital Solna, Sweden |
| 5:35 p.m. – 6:05 p.m. CT |
Seeing at the Molecular Level: Spatial “Omics”
Kenneth Tsai, MD, PhD
Moffitt Cancer Center |
| 6:05 p.m. – 6:30 p.m. CT |
Q&A, Closing Remarks & Announcements |
Learning Objectives
Upon completion of this course, participants should be able to:
- Use currently approved methods for digital pathology in daily dermatopathology practice.
- Describe regulatory issues and platforms used for reporting cases in a digital environment.
- Demonstrate greater understanding of the current status of research on machine learning and artificial intelligence to enhance and aid accurate dermatopathology diagnosis.
- Evaluate various digital visualization techniques, including optical coherence tomography, high frequency ultrasound, spectroscopy and reflectance confocal microscopy of potential practical interest and benefit to dermatopathology.
- Apply spatial “omics” techniques of analysis that involve using digital images to guide further molecular analysis, improved diagnosis and patient outcomes.
Previous Hermann Pinkus Memorial Basic Science Course Directors
In 2010 the format of the Hermann Pinkus Memorial Lecture was changed to encompass a wider range of scientific topics that relate to the field of dermatopathology.
| 2021 |
Gregory A. Hosler, MD, PhD and Eleanor A. Knopp, MD |
| 2020 |
Michael T. Tetzlaff, MD, PhD |
| 2019 |
Julia S. Lehman, MD |
| 2018 |
Jon A. Reed, MD |
| 2017 |
Melissa P. Piliang, MD |
| 2016 |
Melissa Pulitzer, MD |
| 2015 |
Beth S. Ruben, MD |
| 2014 |
Tammie C. Ferringer, MD |
| 2013 |
Ronald P. Rapini, MD |
| 2012 |
Steven D. Billings, MD |
| 2011 |
Klaus J. Busam, MD |
| 2010 |
Lawrence E. Gibson, MD |
| 2009 |
Lisa A. Beck, MD |
| 2008 |
Norma J. Nowak, PhD |
| 2007 |
David Fisher, MD, PhD |
| 2006 |
Sharon Weiss, MD |
| 2005 |
Boris C. Bastian, MD |
| 2004 |
Michael W. Piepkorn, MD |
| 2003 |
A. Razzaque Ahmed, MD |
| 2002 |
Philip E. LeBoit, MD |
| 2001 |
Robert C. Gallo, MD |
| 2000 |
Elaine Fuchs, PhD |
| 1999 |
Thomas A. Waldmann, MD |
| 1998 |
David T. Woodley, MD |
| 1997 |
Karen A. Holbrook, PhD |
| 1996 |
Judah Folkman, MD |
| 1995 |
Margaret Kripke, MD |
| 1993 |
Douglas R. Lowy, MD |
| 1992 |
Walter R. Gammon, MD |
| 1991 |
Stephen I. Katz, MD, PhD |
| 1990 |
Lance A. Liotta, MD, PhD |
| 1989 |
John R. Stanley, MD |
| 1988 |
Jouni J. Uitto, MD, PhD |
| 1987 |
Clive Taylor, MD, PhD |
| 1986 |
Tung-Tien Sun, PhD |