Cancer therapy resistance remains a major obstacle to successful treatment, contributing to disease recurrence and poor ...

Researchers at Tsinghua University have unveiled a new Python toolkit for automated single-cell lineage tracing and analysis—featuring rapid barcode QC, clone-size metrics, dynamic Sankey ...

A new study from Professor Vadim Backman shows that restoring cellular memory prevents cancer cells’ ability to adapt to evade treatment.

In a wholly new approach to cancer treatment, Northwestern University biomedical engineers have doubled the effectiveness of ...

AI scanned animal venom peptides and found 386 potential antibiotics. Most killed drug-resistant bacteria in tests and were ...

The mystery of how cancers build up resistance mechanisms and evade the treatments that should have destroyed them is a ...

Imagine a bacterial cell—one of the multi-drug-resistant varieties that keep infectious disease experts up at night—blown apart like a microscopic firecracker.

Cleveland Clinic researchers are working to improve the way we use evolutionary modeling to understand drug resistance. The study, published in Science Advances, uses a new type of ...

While the combo includes a version of Gilead’s lenacapavir, which is approved as Sunleca for twice-yearly treatment of people with multi-drug-resistant HIV and currently under FDA review for the ...

Breast cancer represents the most common cancer among women worldwide. Triple-negative breast cancer (TNBC), a particularly aggressive, metastatic, and drug-resistant subtype of breast cancer, poses a ...

Drug synergy Interaction Prediction improves personalized drug synergy prediction by utilizing drug-specific pathway activation scores to predict personalized drug synergy and reveals mechanistic ...