Tuesday, October 20, 2026, 11 AM-12 PM ET
Hear experts review the biological and clinical significance of the HER2 expression continuum in breast tissue, providing a clearer understanding of how these variations might impact diagnosis, and discuss the emerging importance of documenting HER2-low and HER2-ultralow categories using a validated IHC assay.
Webinar presenters Keith Wharton, MD, PhD, Global Medical Affairs Leader–Pathology, Roche Diagnostics Solutions, and Hannah Y. Wen, MD, PhD, Director, Breast Pathology Fellowship, Associate Team Leader, Breast Pathology Team, Attending Pathologist, Memorial Sloan Kettering Cancer Center
CAP TODAY does not endorse any of the products or services named within. The webinar is made possible by a special educational grant from Roche.
Moderated by: Bob McGonnagle, Publisher, CAP TODAY
Thursday, October 29, 2026, 1 PM-2 PM ET
Hear an expert discuss the evolving role of PD-L1 testing in HNSCC and ovarian cancer.
Webinar presenter Georgios Deftereos, MD, Professor of Pathology, Associate Director of the Clinical Cancer Genomics Laboratory, Director of Molecular Cytopathology, University of California, San Francisco
CAP TODAY does not endorse any of the products or services named within. The webinar is made possible by a special educational grant from Agilent.
Moderated by: Bob McGonnagle, Publisher, CAP TODAY
Tuesday, November 3, 2026, 1 PM-2 PM ET
Hear an expert discuss the challenges of detecting NRG1 fusions and how RNA-based testing can support more comprehensive fusion identification in clinical practice.
Webinar presenter Benjamin Weinberg, MD, Associate Professor of Medicine and Attending Physician
specializing in gastrointestinal medical oncology
CAP TODAY does not endorse any of the products or services named within. The webinar is made possible by a special educational grant from Diaceutics.
Moderated by: Bob McGonnagle, Publisher, CAP TODAY
Monday, November 16, 2026, 12:30 PM-2 PM ET
Hear experts discuss a multidisciplinary approach to oncopathology for HER2
assessments for solid tumors in the absence of a companion diagnostic.
Webinar presenters Funda Meric-Bernstam, MD, Chair, Department of Investigational Cancer Therapeutics Medical Director, Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas, and Emina E. Torlakovic, MD, PhD, College of Medicine, University of Saskatchewan, Canadian Biomarker Quality Assurance, Saskatoon, Saskatchewan, Canada, and Carol Cheung, MD, PhD, JD, FRCPC, Deputy Director, Canadian Biomarker Quality, Assurance—Programme canadien d’assurance de la qualité des biomarqueurs
CAP TODAY does not endorse any of the products or services named within. This program is being sponsored by Daiichi Sankyo, Inc. and AstraZeneca. The speaker is being compensated for the presentation. The program is not CME accredited and may not be used for CME accreditation.
Moderated by: Bob McGonnagle, Publisher, CAP TODAY
April 2024—Transitioning to digital pathology can seem complex and costly. And for some, but not all, laboratories, cost in particular can be a barrier to adoption. So how do you determine which camp your lab falls into? You calculate, according to Orly Ardon, PhD, director of digital pathology operations at Memorial Sloan Kettering Cancer Center.
March 2024—While Dr. Seuss’ assertion that “the more that you read, the more things you will know” is generally accurate, it doesn’t address the fact that how information is presented affects comprehension, a truism that is not lost on Edward Klatt, MD, who knows whereof he speaks when it comes to sharing information on patient portals.
February 2024—The key to using ChatGPT and other large language models effectively in pathology is understanding not only what they are designed to do but, just as importantly, what they are not designed to do, says Eric Glassy, MD, medical director at Affiliated Pathologists Medical Group, Rancho Dominguez, Calif., and past chair of the CAP Information Technology Leadership Committee.
January 2024—When the medical microbiology laboratory at Yale-New Haven Hospital makes operational changes, it uses data analytics to monitor their impact. Yet the process of implementing laboratory analytics can be challenging.
December 2023—While many dismiss the saying “Nothing lasts forever” with a simple shrug, those three words may cause angst in those anticipating the demise of their laboratory information system.
November 2023—“The best way to have a good idea is to have a lot of ideas,” according to Linus Pauling, a chemist and chemical engineer who, among other accomplishments, helped create a form of synthetic plasma. But when there is no structure in place to nurture those ideas, the result can be “a lot of people focused in a lot of different directions,” says Sky Soom, innovation analyst with Sonora Quest Laboratories.
Ocotber 2023—Health care technology companies, by and large, are eager to share product metrics—that is, standalone product performance—with potential pathology lab clients but less eager to share how those technologies may impact laboratory workflow and decision-making.
September 2023—The musician Frank Zappa said, “One size does not fit all,” a declaration that counters the claims of many clothing manufacturers and holds true for a variety of products, including, one could argue, digital scanners.
August 2023—How often do pathology departments underbill insurance companies for their services? And how much money do they lose because of underbilling mistakes? A prototype dashboard at Dartmouth Hitchcock Medical Center aims to answer those questions by using natural-language processing and machine-learning algorithms to flag pathology cases that are underbilled.
July 2023—The Permanente Medical Group, Oakland, Calif., has launched the Kaiser Permanente Northern California Division of Research Augmented Intelligence in Medicine and Healthcare Initiative Coordinating Center, or AIM-HI. The program will support a national research effort focused on evaluating artificial intelligence and machine-learning algorithms to enhance diagnostic decision-making in health care.
