Latest AI and machine learning research in genetics for healthcare professionals.
The SARS-CoV-2 Delta variant (B.1.617.2), initially classified as a variant of concern due to its en...
Many complex models for antibody affinity prediction have been developed and successfully deployed. ...
Automated program repair (APR) has been studied extensively in recent years. Existing approaches mai...
Rice (Oryza sativa) grain quality is an important breeding target, yet its genetic basis remains inc...
BACKGROUND: Enhancer-promoter interactions (EPIs) play a central role in transcriptional regulation,...
Osteoporosis and diabetes represent major global public health challenges. Neutrophil extracellular ...
Although immunotherapy has revolutionized cancer treatment, many patients still experience limited b...
Engineering CRISPR enzymes for high fidelity often impairs cleavage activity. Meanwhile, a mechanist...
OBJECTIVES: Chronic Rhinosinusitis with Nasal Polyps (CRSwNP) is a common and severe subtype of Chro...
PURPOSE: This study aims to screen and identify potential atherosclerosis (AS) biomarkers associated...
Recent advances in clustered regularly interspaced short palindromic repeats (CRISPR) technology ena...
BACKGROUND AND OBJECTIVE: Colorectal cancer is the second leading cause of cancer-related mortality ...
Generative modeling offers a robust framework for designing functional DNA, RNA and protein sequence...
BACKGROUND: Cancer heterogeneity results in patients with the same diagnosis responding differently ...
The accelerating global population growth and increasing environmental pressures driven by climate c...
Nonconvex optimization presents significant challenges in many fields, particularly in training deep...
BACKGROUND: Understanding interindividual variability in treatment response and toxicity is essentia...
Male infertility remains an understudied yet significant contributor to global reproductive health c...
Accurate survival prediction in breast cancer is essential for patient risk stratification and perso...
This article explores the expanding role of molecular diagnostics in breast pathology. It emphasizes...