Discover the newest research about AI innovations in 𧬠Genetics.
New biomarkers TLR2, CCR1, IRF8, and CCL4 show promise for atherosclerosis diagnosis and treatment response. ππ
NetRNApan: A Deep Learning Framework for RNA Modification Prediction and Trans-Regulatory Factor Discovery π§¬π
Aptamers revolutionize plant disease management, enhancing detection and modulation. Key insights from Liu et al. (2025) reveal their potential. π±π¬
Exploring biological age through omics: Genomics, epigenomics, and microbiomics reveal insights into aging and health. π§¬π¬
Evaluating 44 genomic data representations reveals RCKmer (k=7) with SVM achieves F1: 0.959 for HGT detection. ππ¬
Transbronchial cryobiopsy enhances lung disease diagnosis with minimal invasiveness, improving sample quality and reducing complications. π©ΊβοΈ
Maternal lipid levels impact preterm and SGA births. Key findings: triglyceride imbalances, AUC 0.69 for preterm prediction. ππΆ
Exploring hypertension’s precision medicine: genetics, microbiome, and AI’s role in personalized treatment. π§¬π‘
AI in Inherited Retinal Dystrophies: Promising Solutions Amidst Challenges π€ποΈ
Insulin resistance mediates hypertension-NAFLD link; TyG-WC shows 32.03% effect. Risk models achieve 0.91 AUC. ππ©Ί
