Personalized simulations predict patient outcomes for blood cancer treatment in breakthrough study

Computational modeling of the cell cycle and apoptosis reveal limited impact of archetypal double hit mutations on their respective molecular networks. Credit: Blood Cancer Journal (2024). DOI: 10.1038/s41408-024-01090-y A study led by researchers at Brighton and Sussex Medical School (BSMS) has unveiled an approach to predicting the effectiveness of treatments for patients with diffuse large B-cell lymphoma (DLBCL), a common form of blood cancer. The researchers utilized genomic sequencing data to create personalized simulations of individual patients that can quantify the impact of genetic mutations on cancer cell behavior. This Read More

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