Scalable Tracking of Symptoms in the Electronic Health Record using Large Language Models in Patients with Central Nervous System Cancers Undergoing Therapy

AbstractBackground. Advances in large language models (LLMs) provide a means for scalable tracking of patient symptoms in clinical trials and post-marking

secure-web.cisco.com

Recurrent breakpoints in the BRD4 locus reduce toxicity associated with gene amplification

Wala et al. identify recurrent focal BRD4 deletions in tumors harboring larger amplifications, suggesting that these deletions may serve to limit toxic BRD4 overexpression. A CRISPR-Cas9 cell line mod...

cell.com

A compendium of Amplification-Related Gain Of Sensitivity genes in human cancer

Nature Communications - In cancer, the impact on cellular fitness of copy-number gains affecting collaterally-amplified genes remains poorly understood compared to oncogenes. Here, the authors...

rdcu.be

A window-of-opportunity trial reveals mechanisms of response and resistance to navtemadlin in patients with recurrent glioblastoma

In patients with glioblastoma, navtemadlin resistance is not mediated by TP53-inactivating mutations, and combination with TMZ may improve efficacy.

science.org

Deep learning to decode sites of RNA translation in normal and cancerous tissues - Nature Communications

RNA translation is a core cell process that is deregulated in cancer. Here, the authors show that a machine learning approach, RiboTIE, can reconstruct RNA translation in cancer and non-cancer cells. ...

nature.com