Treatment Algorithm for Stage IIB and Beyond Melanoma

Opinion
Video

Allison Betof Warner, MD, PhD, joins Rahul Gosain, MD, and Rohit Gosain, MD, to discuss treatment practices for patients with stage IIB and beyond melanoma.

Recent Videos
Beyond DNA-centric diagnostics, protein-based methods may play a role in accurately matching patients with the most effective therapies.
David Rimm, MD, PhD, discussed how AI tools may help automate routine tasks for pathologists and predict genomic alterations from images.
David Rimm, MD, PhD, shared the rationale behind developing an AI-driven tool for quantifying tumor-infiltrating lymphocytes in melanoma.
The development of multimodal biomarkers may help predict response to immunotherapy among patients with melanoma and other malignancies.
A machine learning method for scoring tumor-infiltrating lymphocytes may address variability in pathologist measurements.
A third of patients had a response [to lifileucel], and of the patients who have a response, half of them were alive at the 4-year follow-up.
We are seeing that, in those patients who have relapsed/refractory melanoma with survival measured as a few weeks and no effective treatments, about a third of these patients will have a response.
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