Latest AI and machine learning research in genetics for healthcare professionals.
Genetic and microbial factors influence inflammatory bowel disease (IBD), prompting our study on non...
Clopidogrel is extensively utilized for the prevention and treatment of cardiovascular, cerebrovascu...
Epilepsy is a common brain disease that causes different types of seizures, with an incidence rate o...
Artificial intelligence and machine learning models have been developed to engineer antibodies for s...
Endocervical adenocarcinoma (ECA) the fatal and intrusive subtype of cervical carcinoma is on rise f...
Transcription factors (TFs) are pivotal in tumor initiation and progression, regulating downstream g...
BACKGROUND: As isocitrate dehydrogenase (IDH) mutation status represents a critical prognostic facto...
Glycosylation abnormalities are critical in the progression of various cancers. However, their role ...
BACKGROUND: Although the significance of intratumoral heterogeneity (ITH) has been widely acknowledg...
BACKGROUND: Increased spinal curvature is one of the most recognizable aging traits in the human pop...
Skin cutaneous melanoma (SKCM) is a fatal form of skin cancer. Metabolism-related genes (MRGs) compr...
Colorectal cancer (CRC) exhibits substantial heterogeneity in molecular subtypes and clinical outcom...
Glucose oxidase (GOD), an oxidoreductase (EC 1.1.3.4), catalyzes the oxidation of β-D-glucose to glu...
Diabetic nephropathy (DN) is the main cause of end‑stage renal disease, with epithelial‑mesenchymal ...
Antimicrobial resistance (AMR) represents a critical global health challenge, demanding rapid and ac...
Lung cancer is a prevalent and lethal malignancy characterised by the uncontrolled growth of abnorma...
Excess reactive oxygen species leading to oxidative stress has been identified as a significant fact...
The study of fungal genetics has undergone transformative advancements in recent decades, profoundly...
Acute myeloid leukemia (AML) is a clonal malignancy of myeloid progenitor cells that demonstrates hi...
OBJECTIVES: To investigate the value of multi-model based on preoperative CT scans in predicting EGF...
BACKGROUND: Accurate prediction of pathological complete response (pCR) to neoadjuvant chemotherapy ...