Latest AI and machine learning research in skin cancer for healthcare professionals.
Colorectal cancer (CRC) is the most common malignancy in the digestive system, with a lower 5-year o...
Pyrimidine metabolism is a hallmark of tumor metabolic reprogramming, while its significance in the...
BACKGROUND: Immunotherapy has revolutionized the treatment landscape for head and neck squamous cell...
RATIONALE AND OBJECTIVES: Immunotherapy combined with chemotherapy has improved outcomes for some es...
Skin cancer can be prevalent in people of any age group who are exposed to ultraviolet (UV) radiatio...
PURPOSE: To evaluate ChatGPT's ability to analyze comprehensive case descriptions of patients with u...
Accurately and early diagnosis of melanoma is one of the challenging tasks due to its unique charact...
BACKGROUND: Immunotherapy has introduced new breakthroughs in improving the survival of head and nec...
The T Cell Receptor (TCR) significantly contributes to tumor immunity, whereas the intricate interpl...
Hepatocellular carcinoma (HCC) is a malignant tumor regulated by the immune system. Immunotherapy us...
This paper introduces SkinWiseNet (SWNet), a deep convolutional neural network designed for the dete...
Mismatch repair deficiency (dMMR), also known as high-grade microsatellite instability (MSI-H), is a...
Stomach adenocarcinoma (STAD) is a common malignancy with high heterogeneity and a lack of highly pr...
Acute myeloid leukemia (AML) remains a devastating diagnosis in clear need of therapeutic advances. ...
BACKGROUND: Skin cancers, including melanoma and keratinocyte cancers, are among the most common can...
Esophageal squamous cell carcinoma (ESCC), a predominant subtype of esophageal cancer, typically pre...
The rapid development of artificial intelligence (AI) based tools in pathology laboratories has brou...
BACKGROUND: Immune checkpoint inhibitors have proven efficacy against hepatitis B-virus positive hep...
Bacteria are associated with certain cancers and may induce genetic instability and cancer progressi...
To integrate machine learning and multiomic data on lactylation-related genes (LRGs) for molecular t...
KanCell is a deep learning model based on Kolmogorov-Arnold networks (KAN) designed to enhance cellu...