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Single-cell transcriptomes identify patient-tailored therapies for selective co-inhibition of cancer clones

Medicine and Health

Single-cell transcriptomes identify patient-tailored therapies for selective co-inhibition of cancer clones

A. Lanevski, K. Nader, et al.

Discover how scTherapy, developed by Aleksandr Lanevski and colleagues, uses machine learning and single-cell transcriptomic profiles to redefine cancer treatment strategies. This innovative approach outputs tailored multi-targeting therapies that show not only efficacy but also low toxicity for patients battling advanced malignancies like AML and HGSC.

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