Latest AI and machine learning research in genetics for healthcare professionals.
Cancer drug resistance, driven by complex genetic mutations, epigenetic plasticity, and tumor microe...
BACKGROUND: Sex hormones play critical roles in the pathogenesis and progression of osteoarthritis (...
Glioblastoma (GBM) is the most common and aggressive primary malignant brain tumor, characterized by...
PURPOSE: Postoperative recurrence remains a major clinical challenge in inflammatory bowel disease (...
Accurate prediction of skin pigmentation from DNA remains challenging, particularly in admixed popul...
Disease comorbidity presents special challenges to disease diagnosis and treatments. Much effort has...
Accurate molecular profiling from routine histopathology slides could transform clinical oncology. A...
Errors during in vitro fertilization (IVF) workflows pose significant risks; yet, existing quality c...
BACKGROUND: Trisomy 21 (Down syndrome) remains the most prevalent autosomal aneuploidy, necessitatin...
BACKGROUND: High-grade serous ovarian cancer (HGSOC) is the most lethal ovarian cancer subtype, resp...
Genotoxin exposure leads to DNA adduct formation, potentially causing mutations if unrepaired. Curre...
To overcome limitations in traditional case-based teaching, this study developed an AI-driven workfl...
Balancing selection is a mode of natural selection that maintains genetic diversity through various ...
Hereditary endocrine neoplastic syndromes require structured, lifelong surveillance owing to their m...
Mycoplasma pneumoniae pneumonia (MPP) is a respiratory infection that readily propagates within pedi...
Moyamoya disease (MMD) is a progressive cerebrovascular disorder characterized by abnormal vascular ...
Accurate load forecasting serves as the critical factor for optimizing energy allocation and ensurin...
BACKGROUND: While the intestinal microbiome has been implicated in Immunoglobulin-4 related disease ...
OBJECTIVE: The rising incidence of Mycobacterium avium (MAV) infection poses significant challenges ...
Large language models can synthesize biomedical knowledge, parse vast amounts of data, and generate ...
Protein quantification is not as extensive as RNA quantification, especially for isocitrate dehydrog...