Latest AI and machine learning research in skin cancer for healthcare professionals.
OBJECTIVE: Uveal melanoma is the most common intraocular malignancy in adults. Current screening and...
BACKGROUND AND AIMS: Evaluation of the programmed cell death ligand-1 (PD-L1) combined positive scor...
Accurate treatment outcome assessment is crucial in clinical trials. However, due to the image-readi...
BACKGROUND: Limited access to dermatologic care may pose an obstacle to the early detection and inte...
Immunotherapy is becoming increasingly important, but the overall response rate is relatively low in...
Lactic acid (LA) accumulation in the tumor microenvironment poses notable challenges to effective tu...
Major histocompatibility complex (MHC) could serve as a potential biomarker for tumor immunotherapy,...
Type 1 diabetes (T1D) is a chronic condition in which beta cells are destroyed by immune cells. Desp...
BACKGROUND: Patients with gastric cancer respond poorly to immunotherapy. There are still unknowns a...
OBJECTIVE: Significant advancements have been made in hepatocellular carcinoma (HCC) therapeutics, s...
Breast cancer, a highly formidable and diverse malignancy predominantly affecting women globally, po...
The mortality and therapeutic failure in cutaneous melanoma (CM) are mainly caused by wide metastasi...
T cells have the ability to eliminate infected and cancer cells and play an essential role in cancer...
The histopathological classification of melanocytic tumours with spitzoid features remains a challen...
The prognosis of lung adenocarcinoma (LUAD) is generally poor. Immunotherapy has emerged as a promis...
BACKGROUND: Establishment of a reliable prognostic model and identification of novel biomarkers are ...
Clear cell renal carcinoma (ccRCC), the most common subtype of renal cell carcinoma, has the high he...
Immune checkpoint therapy (ICT) has greatly improved the survival of cancer patients in the past few...
Early identification of safe and efficacious disease targets is crucial to alleviating the tremendou...
Accurately predicting tumor T-cell antigen (TTCA) sequences is a crucial task in the development of ...
Machine-learning algorithms have the potential to revolutionise diagnostic and prognostic tasks in h...