Latest AI and machine learning research in skin cancer for healthcare professionals.
The development of personalized cancer vaccines relies heavily on accurately identifying neoepitopes...
Chimeric antigen receptor (CAR) T cell therapy holds transformative potential for hematologic malign...
Elucidating drug response mechanisms in human melanoma is crucial for improving treatment outcomes. ...
Identifying effective neoantigen sequences is essential for enhancing anti-tumor immunity. However, ...
Human haematopoietic stem and progenitor cells (HSPCs) exhibit heterogeneous lineage output, but the...
Deep learning shows promise in structure-based drug discovery, yet challenges persist in generating ...
While gene sequencing is routine in cancer care, translating sequences into treatment decisions rema...
Linking spatial transcriptomic data to clinically relevant phenotypes is essential for advancing spa...
B-cells get activated through interaction with B-cell epitopes, a specific portion of the antigen. I...
Biological systems can be interrogated by perturbing individual components and observing the consequ...
Machine learning models trained on paratope-similarity networks have shown superior accuracy compare...
Here we are introducing CryoPhold, a modular workflow that unifies AlphaFold-based ensemble generati...
The ability to predict T cell receptor (TCR) specificity from sequence could transform immunotherapy...
T cells recognize and eliminate diseased cells by binding their T cell receptors (TCRs) to short end...
Brain metastasis (BrM) is a serious complication of advanced cancers and remains difficult to predic...
Formalin-fixed paraffin-embedded (FFPE) tissues are widely used in clinical and research settings, y...
Glioblastoma (GBM), the most aggressive primary brain tumor in adults, exhibits profound treatment r...
Understanding the spatiotemporal dynamics of T-cell clones is a critical challenge in immunology and...
T cell exhaustion limits the efficacy of cancer immunotherapies. Here, we performed genome-wide loss...
Current DNA damage repair (DDR) biomarkers employ binary classifications that fail to capture the mo...
Spatially resolved omics enable the discovery of tissue organization of biological or clinical impor...