AACR Annual Meeting - American Association for Cancer Research Annual Meeting

AI may help to accurately classify pediatric sarcoma subtypes using digitized pathology images, potentially improving diagnosis and treatment accessibility across diverse health care settings.

Interim results from the phase 1 SENTI-202-101 trial show that SENTI-202, a logic-gated, off-the-shelf chimeric antigen receptor natural killer (CAR NK) cell therapy, achieved complete remission in 4 patients with relapsed or refractory (R/R) acute myeloid leukemia (AML).

Pretrained foundation machine learning models significantly improved the accuracy of diagnosing non-melanoma skin cancer from digital pathology images and may offer a practical, resource-efficient solution for cancer diagnosis in underserved settings.

Zoldonrasib, a novel oral KRAS G12D-selective inhibitor, demonstrated promising safety and early antitumor activity in patients with previously treated non–small cell lung cancer (NSCLC), offering a potential new targeted therapy for this underserved population.