Enhancing cancer treatment efficacy remains a significant challenge in human health.
Immunotherapy has witnessed considerable success in recent years as a treatment for …

Abstract Introduction Immune checkpoint inhibitors (ICIs) are potent and precise therapies
for various cancer types, significantly improving survival rates in patients who respond …

The determination of transcriptome profiles that mediate immune therapy in cancer remains
a major clinical and biological challenge. Despite responses induced by immune-check …

The effectiveness of immune checkpoint blockade (ICB) therapy, a critical strategy in cancer
immunotherapy, is often limited by a high rate of primary resistance. Identifying patients …

Background Immune checkpoint inhibitors (ICIs) have transformed cancer therapy, yet their
response rates remain modest, ranging from 20–40% across different cancer types. 1 There …

Background The development of immune checkpoint inhibitor (ICI) therapy has
fundamentally changed the landscape of cancer treatment. While ICIs have exhibited …

Motivation Accurate prediction of cancer drug response (CDR) is challenging due to the
uncertainty of drug efficacy and heterogeneity of cancer patients. Strong evidences have …

Background To precisely predict drug response and avoid unnecessary treatment have
been urgent needs to be resolved in the age of melanoma immunotherapy. Deep learning …

Drug resistance poses a crucial challenge in healthcare, with response rates to
chemotherapy and targeted therapy remaining low. Individual patient's resistance is …

Predicting the therapeutic effect of anti-cancer drugs on tumors based on the characteristics
of tumors and patients is one of the important contents of precision oncology. Existing …