AI adapts genetic risk scores for diverse ancestries
A new deep learning tool bypasses the need for massive non-European genetic trials by adapting existing risk models to diverse populations.
July 16, 2026
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Discover the newest research about AI innovations in 𧬠Genetics.
AI Tool Predicts Cancer Survival From Single Cells
Averaging tumor data has long blinded oncologists to the specific, high-risk cells that drive patient mortality.
July 14, 2026
Matching blood by DNA, not just type
A mismatch between the genetic makeup of blood donors and recipients is driving a silent crisis in sickle cell care.
July 10, 2026
Digital Twins Solve Rare Disease Trial Dilemma
Using virtual clones to simulate disease progression could finally solve the recruitment bottleneck that stalls rare disease drug development.
July 5, 2026
Cheap DNA sequencing detects ovarian cancer
By combining two different genomic signals, researchers proved that cheap, shallow DNA sequencing can catch ovarian cancer with high accuracy.
July 4, 2026
New AI maps overlooked family disease genes
Standard genetic tests miss the complex networks of DNA variants that cause multiple diseases in the same family, but a new topological AI approach could change how we find them.
June 10, 2026
Predicting enhancer-gene links from single-cell multi-omics data by integrating prior Hi-C information.
Enhancer-gene links predicted using SCEG-HiC method show improved accuracy in single-cell multi-omics data integration. ππ¬
May 8, 2026
Electronic Nose Technology for Early Detection of Ovarian Cancer
Electronic nose technology may detect early signs of ovarian cancer through blood analysis. Promising advancements in cancer diagnosis. π©Ίπ¬
April 20, 2026
AICellType: a large language model-based platform for accurate cell type annotation.
AICellType: A breakthrough in cell type annotation with 76% accuracy using LLMs! π§¬π Explore its capabilities!
April 20, 2026
Multi-omics applications in health and diseases.
Multi-omics integration enhances precision medicine, addressing disease complexity with AI-driven analysis. Key for future healthcare advancements! ππ¬
April 16, 2026