Latest AI and machine learning research in genetics for healthcare professionals.
OBJECTIVE: To investigate the genetic architecture of low-frequency and rare variants of serum urate...
Hi-C technology measures genome-wide interaction frequencies, providing a powerful tool for studying...
Lung cancer survival prediction remains one of the most challenging tasks in modern healthcare, as a...
OBJECTIVE: Precision medicine applications depend on elucidating the underlying molecular mechanisms...
BACKGROUND AND OBJECTIVES: Frontotemporal lobar degeneration TDP43 type C (TDP-C) is a rare and uniq...
The origin recognition complex (ORC) is a DNA-binding complex composed of six subunits involved in D...
Reconstructing temporal cellular dynamics from static single-cell transcriptomics remains a major ch...
A tightly regulated DNA damage response is critical to the overall integrity of the genome. Here, we...
BACKGROUND: Understanding the intricate relationship between sex, age, and the oral microbiome is cr...
Peptide-based therapeutics show promising potential in treating a range of diseases, such as diabete...
DNA sequencing has revolutionized biological and biomedical research, offering profound insights int...
BACKGROUND: Lung cancer remains the leading cause of cancer-related mortality worldwide. This study ...
OBJECTIVE: Triple-negative breast cancer (TNBC) exhibits pronounced intratumoral heterogeneity, and ...
BACKGROUND: Osteoarthritis (OA) of the ankle is a disabling and understudied disease, most commonly ...
Recent advances in gene editing can produce large genotype-fitness maps for targeted genes, yet pred...
BACKGROUND: Hepatocellular carcinoma (HCC) is a critical condition characterized by unchecked cellul...
Population-Based Training (PBT) has the drawback of using fixed, pre-programmed mutation and selecti...
Colorectal cancer (CRC) remains a significant global health challenge due to its high prevalence and...
Disorders of the central nervous system (CNS), neurological disorders, neurodegenerative disorders, ...
PURPOSE: To develop and temporally validate a predictive framework for molecular adequacy in compute...
BACKGROUND: Small cell lung cancer (SCLC) is an aggressive neuroendocrine malignancy characterized b...