Latest AI and machine learning research in skin cancer for healthcare professionals.
Reliable skin lesion segmentation and classification are central to dermoscopic computer-aided diagn...
Mutational signatures reveal cancer-driving processes with clinical relevance: MMR-deficient tumors ...
Septins are cytoskeletal GTPases that assemble into diverse higher-order structures with context-dep...
CD70 is well-recognized as a promising "pan-cancer: chimeric antigen receptor (CAR) T-cell target. P...
Early diagnosis of melanoma is critical for improving patient survival rates. However, accurately di...
Background: Reliable melanoma classification requires models that capture both local dermoscopic mor...
Predicting immunotherapy response from single-cell data remains difficult due to patient-level label...
Genetic variation among microbial strains of the same species can profoundly influence their phenoty...
In large data sets discovery is often limited to pre-conceived hypotheses and data fishing. Here we ...
BackgroundRecurrence rates following curative resection for hepatocellular carcinoma (HCC) remain pe...
Progress in precision oncology, including biomarker discovery and individualized treatment selection...
Computational design has transformed many fields of engineering, where simulators can explore millio...
The human immune system excels at generating highly effective antibodies through natural selection a...
Background: Precision oncology relies on accurate interpretation of tumour-detected gene variants, t...
When asked to describe a medical image that was never attached, frontier vision-language models do n...
Adaptive immunity relies on T-cell receptor (TCR) recognition of peptides presented by the major his...
The human immune system is composed of [~]30-50 distinct cell types, each of which can exist in diff...
Single-cell transcriptomics resolves CAR T-cell states, yet translating heterogeneous cellular signa...
Spatially resolved omics studies increasingly combine transcriptomic and epigenomic assays, yet down...
Longitudinal tumor measurements, dropout information, and genetic covariates provide complementary i...
Optimizing dose and schedule remains a central challenge in oncology drug development, particularly ...