UNDERWORLD (2003)
dir. Len Wiseman
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A recent study in the Journal of Clinical Oncology reveals a groundbreaking artificial intelligence ( AI) tool, ‘DeepHRD, ‘that can predict how vulnerable a cancer is to platinum-based chemotherapy using routine histopathology slides. This development, led by scientists at the University of California, San Diego, could drastically improve cancer treatment and bring faster, more accurate care to patients.
There has been growing interest in precision medicine for cancer care. This approach tailors treatments to individual patients using their genetic makeup. To make treatment decisions based on tumor biology, specific somatic molecular alterations need to be identified. One such alteration is Homologous Recombination Deficiency (HRD), which exposes cancer cells to platinum-based chemotherapy and PARP inhibitors. Nonetheless, current means of detecting HRD involve complex genomic testing that is often time-consuming, costly, and not readily available to many patients.
To tackle this issue, the team developed DeepHRD, a deep learning algorithm that can interpret traditional hematoxylin and eosin (H&E) stained slides – the standard diagnostic tool for pathologists. By looking at visual patterns on these slides, DeepHRD makes remarkably accurate predictions of HRD.
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