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The American Association for Cancer Researcher (AACR) named David Rimm, MD, PhD, Anthony N. Brady Professor of Pathology and of Medicine (Medical Oncology), as recipient of the 2026 James S. Ewing-Thelma B. Dunn Award for Outstanding Achievement in Pathology in Cancer Research.
- December 13, 2025
Members of the Center for Breast Cancer at Smilow Cancer Hospital and Yale Cancer Center attended the 48th annual San Antonio Breast Cancer Symposium (SABCS), from December 9-12, 2025.
- December 01, 2025
At SABCS, Yale Cancer Center experts will present groundbreaking research on hormone replacement therapy in breast cancer care, innovative treatment options for HER2-positive and hormone receptor-positive breast cancers, and the impact of patient-centered approaches to care.
- November 12, 2025
Yale School of Medicine faculty members were recognized for publishing studies that rank in the top 1% based on the number of citations they received in their field.
- October 10, 2025
Researchers, led by Thazin Nwe Aung, PhD, in the laboratory of David Rimm, MD, PhD, have developed a way to predict how lung cancer cells will respond to different therapies, allowing people with the most common form of lung cancer to receive more effective individualized treatment.
- October 03, 2025Source: Cancer Network
Regarding finding the right drug for the right patient, the reality of cancer management is far more complex than a single genetic mutation, according to David Rimm, MD, PhD.
- October 03, 2025Source: Cancer Network
It may be time for precision medicine to expand beyond the genomics realm and enter the protein space in the management of melanoma and other cancers, according to David Rimm, MD, PhD.
- October 01, 2025Source: Cancer Network (with Dr. David Rimm)
Dr. David Rimm spoke with Cancer Network on his latest research.
- September 30, 2025Source: Cancer Network
In an interview with CancerNetwork®, Thazin Nwe Aung, PhD, an associate research scientist in Pathology at the Yale School of Medicine and Yale Cancer Center, discussed strategies for overcoming resistance to immunotherapy and other drugs among patients with melanoma.
- September 29, 2025Source: Cancer Network
According to Thazin Nwe Aung, PhD, an artificial intelligence (AI)–driven assessment for scoring tumor-infiltrating lymphocytes (TILs) may help better predict melanoma prognoses vs pathologist scoring. Aung, an associate research scientist in Pathology at the Yale School of Medicine, spoke with CancerNetwork® about the publication of a multi-institutional prognostic study she authored in JAMA Network Open that compared pathologist-read vs AI-driven assessments of TILs among patients with melanoma.