Advertisement


Joann G. Elmore, MD, MPH, on Cancer Diagnosis: When Pathologists Disagree, Artificial Intelligence May Help

AACR Annual Meeting 2021

Advertisement

Joann G. Elmore, MD, MPH, of the UCLA Fielding School of Public Health, discusses previous studies that show wide variability in cancer diagnoses, the uncertainties introduced by computer-aided detection tools, and new research on artificial intelligence and machine learning that may lead to more consistent and accurate diagnoses and prognoses, potentially improving treatment (Abstract SY01-03).



Related Videos

Immunotherapy

Michel Sadelain, MD, PhD, on the Road to Synthetic Immunity: Novel CAR Designs

Michel Sadelain, MD, PhD, of Memorial Sloan Kettering Cancer Center, discusses the challenges in developing CAR T-cell therapy, as well as the progress being made, such as creating hybrid CAR and T-cell receptors that should enable T cells to recognize much lower levels of antigens. The field, he says, is poised to take on a range of solid tumors to extend the successes in hematologic malignancies.

Breast Cancer
Immunotherapy

Rita Nanda, MD, on Triple-Negative Breast Cancer: Emerging Therapeutic Strategies

Rita Nanda, MD, of the University of Chicago, discusses the latest data on novel treatment strategies for triple-negative breast cancer, including immune checkpoint, PARP, and ATK inhibitors; antibody-drug conjugates; and targeting the androgen receptor.

Solid Tumors
Gastrointestinal Cancer
Genomics/Genetics

Vivek Subbiah, MD, on RET Fusion–Positive Cancers: Efficacy of Selpercatinib

Vivek Subbiah, MD, of The University of Texas MD Anderson Cancer Center, discusses data on selpercatinib that showed promising activity across a variety of RET fusion–positive cancers, including treatment-refractory gastrointestinal malignancies. This analysis highlights the need for genomic profiling to identify actionable oncogenic drivers.

Issues in Oncology

Jeanne Tie, MD, MBChB, on Circulating Tumor DNA, Minimal Residual Disease, and Adjuvant Treatment

Jeanne Tie, MD, MBChB, of the Peter MacCallum Cancer Centre, discusses how to improve the current, somewhat imprecise, approach based on pathologic staging alone, used to select patients for adjuvant treatment. Circulating tumor DNA analysis after curative-intent treatment may detect minimal residual disease and might be used to predict recurrence and adjuvant treatment efficacy across multiple tumor types.

Breast Cancer

Linda T. Vahdat, MD, MBA, on Triple-Negative Breast Cancer: Targeting the Tumor Microenvironment

Linda T. Vahdat, MD, MBA, of Memorial Sloan Kettering Cancer Center, discusses results of a phase II trial designed to test the concept that targeting the tumor microenvironment by depleting copper may prevent metastases, essentially disrupting the infrastructure that contributes to tumor spread.

Advertisement

Advertisement




Advertisement