Latest AI and machine learning research in allergy for healthcare professionals.
Metastatic renal cell carcinoma remains clinically challenging because of heterogeneous outcomes and...
BACKGROUND: Osteoarthritis (OA) is a chronic degenerative joint disease characterized by the progres...
PURPOSE: Antibody-drug conjugates (ADC) targeting trophoblast cell surface antigen 2 (TROP-2) and cM...
Myeloid cells-including macrophages, monocytes, neutrophils and dendritic cells-are metabolically pl...
OBJECTIVES: To model the occurrence of adverse events (AEs) among Veterans prescribed nonsteroidal a...
BACKGROUND: Patch testing, the gold standard for allergic contact dermatitis (ACD) diagnosis, suffer...
BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is an aggressive tumor with high metastatic pote...
Endometrial cancer (EC) is the most common gynaecological malignancy worldwide, yet the prognosis fo...
Malignant tumors, including osteosarcoma (OS), are major non-communicable chronic diseases driven by...
Diagnostic criteria for myofascial pain syndrome (MPS) are well established in humans but remain und...
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy with a five-year survival ...
Neoantigens are critical targets for cancer immunotherapy, yet the relationship between experimental...
BACKGROUND: Disulfidptosis is a novel form of glucose starvation-induced cell death, yet its prognos...
PURPOSE: Non-small cell lung cancer (NSCLC) remains a major clinical challenge, with Programmed deat...
BACKGROUND: The indoor environment has been implicated as a critical factor in the development of al...
OBJECTIVE: Glioblastoma (GBM) is the most aggressive type of intracranial malignant tumor, known for...
We propose Open Immune Oncology (OpenIO), a framework integrating generative AI and omics to advance...
This study explores the potential of explainable artificial intelligence to advance our understandin...
Generative artificial intelligence (AI) is rapidly emerging as a valuable tool in medicine, with inc...
This study aimed to develop a robust prediction model- using machine-learning algorithms based on th...
BACKGROUND: Chronic liver disease (CLD) and its progression to compensated cirrhosis (CC), decompens...