Latest AI and machine learning research in skin cancer for healthcare professionals.
Tumor-infiltrating lymphocytes are essential for anti-tumor immunity, yet distinguishing tumor-react...
Background: Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapy but can cause ser...
One of the dominant paradigms in self-supervised learning (SSL), illustrated by MoCo or DINO, aims t...
Background: Current deep learning models in computational pathology, radiology, and digital patholog...
The interaction between T cell receptors (TCRs), peptides, and human leukocyte antigens (HLAs) under...
Immune checkpoint inhibitors (ICIs) have transformed cancer therapy; yet substantial proportion of p...
Reliable, minimally invasive biomarkers for predicting immunotherapy response in head and neck squam...
Background: Interferon-gamma (IFN-{gamma}) is the primary effector cytokine of adaptive anti-tumor i...
Regional lymph node (LN) metastasis critically influences distant metastatic progression, anti-tumou...
Predicting treatment response remains challenging in oncology, particularly given the growing divers...
Convolutional Neural Networks have shown promising effectiveness in identifying different types of c...
Recombinant human Interleukin-2 (rhIL-2, Aldesleukin) is used in immunotherapy for metastatic melano...
Identifying predictive biomarkers of immunotherapeutic response in melanoma remains an outstanding c...
The T cell's ability to discern self and non-self depends on its T cell receptor (TCR), which recogn...
Background: Previous research has shown that radiomics-based machine learning models are promising p...
Accurate localization of tumor regions from hematoxylin and eosin-stained whole-slide images is fund...
Clear cell renal cell carcinoma (ccRCC) is the leading cause of kidney cancer-related death, but how...
The growing number of spatial transcriptomics (ST) datasets enables comprehensive multi-modal charac...
Background: N4-acetylcytidine (ac4C) modification plays a critical role in cancer development. Explo...
Differences in microbiome composition profoundly influence drug response, yet methods to model the m...
The rapid progress of multimodal large language models (MLLMs) has led to increasing interest in age...