Latest AI and machine learning research in genetics for healthcare professionals.
Cell shape is a fundamental determinant of tissue architecture and organ function. In epithelial tis...
Automated invertebrate classification using computer vision has shown significant potential to impro...
Hepatitis B virus (HBV) infection causes approximately one million deaths annually and remains a maj...
Helicobacter pylori is a significant risk factor for gastric cancer, peptic ulcers, and MALT lymphom...
Extracellular vesicles (EVs), including exosomes, are emerging as promising carriers of disease-spec...
RNA-based biosensors have emerged as essential tools in synthetic biology and diagnostics, enabling ...
Despite advancements in genome annotation tools, challenges persist for non-classical model organism...
Next-generation sequencing (NGS) has transformed genomics, enabling breakthroughs in biotechnology, ...
Large-scale biobanks provide comprehensive electronic health records (EHRs) that capture detailed cl...
G protein-coupled receptors (GPCRs) are important targets for drug discovery owing to their ability ...
The Tabula Sapiens is a reference human cell atlas containing single cell transcriptomic data from m...
Large-language models (LLMs) can parse vast amounts of data and generate executable code, positionin...
Despite promising results in using deep learning to infer genetic features from histological whole-s...
Manual extraction of high-fidelity gene-disease-phenotype information from human genetics literature...
Accurate quality assessment is critical for computational prediction and design of RNA three- dimens...
Generative biology holds the promise to transform our ability to design and understand living system...
A minority of driver mutations in cancer significantly alter protein structure and key functionaliti...
While gene sequencing is routine in cancer care, translating sequences into treatment decisions rema...
Lung adenocarcinoma (LUAD), the most common subtype of non–small cell lung cancer (NSCLC) exhibits p...
Post-translational modifications (PTMs) play a central role in cellular regulation and are implicate...
Spatial transcriptomics technologies enable high-throughput quantification of gene expression at spe...