Latest AI and machine learning research in genetics for healthcare professionals.
Artificial Intelligence (AI), and more specifically Machine Learning (ML), have become an increasing...
Accurate prediction of patient outcomes remains a major challenge in oncology. While recent machine ...
The extent to which human adaptations have persisted throughout history despite strong eroding demog...
Nanopore sequencing technologies continue to advance rapidly, offering critical benefits such as rea...
Understanding the cells of origin is essential for overcoming therapy resistance in esophageal squam...
Transcript assembly remains a challenging task despite the development of numerous methods. A major ...
How animals repeatedly adapted to life on land is a central question in evolutionary biology. While ...
The rapid growth of biomedical literature has produced extensive functional knowledge on genetic var...
Metabolic dysfunction-associated steatotic liver disease (MASLD, previously NAFLD) is a frequent co-...
Single-cell measurement technologies provide a powerful framework for studying cellular heterogeneit...
Hallmark gene mutations shape cancer cell vulnerabilities and inform drug discovery1–3. A systematic...
We describe peptide mapping through Split Antibiotic Resistance Complementation (SpARC-map), a metho...
It is an ever challenging task to make genome-wide predictions for plant metabolic pathway genes (MP...
Previous single-cell profiling studies of the pituitary gland have yielded minimally reproducible in...
The study of cell-free circulating DNA (cirDNA) fragments (fragmentomics) from liquid biopsies has r...
RNA sequence design and protein–DNA binding specificity prediction can both be framed as nucleic aci...
In hematology/oncology clinics, molecular diagnostics based on nucleic acid sequencing or hybridizat...
Kinases are enzymes that catalyze phosphorylation and play crucial roles in a myriad of cellular reg...
Genome-scale DNA methylation (DNAm) profiles capture organismal physiology, but most predictive mode...
Understanding RNA structures is essential for exploring its diverse cellular roles. Chemical modific...
Single-cell RNA sequencing has transformed our understanding of cellular diversity, yet current sing...