
Measuring biological age: Insights from omics studies.
Exploring biological age through omics: Genomics, epigenomics, and microbiomics reveal insights into aging and health. 🧬🔬
Discover the newest research about AI innovations in 🧬 Genetics.

Exploring biological age through omics: Genomics, epigenomics, and microbiomics reveal insights into aging and health. 🧬🔬

Evaluating 44 genomic data representations reveals RCKmer (k=7) with SVM achieves F1: 0.959 for HGT detection. 📊🔬

Transbronchial cryobiopsy enhances lung disease diagnosis with minimal invasiveness, improving sample quality and reducing complications. 🩺❄️

Maternal lipid levels impact preterm and SGA births. Key findings: triglyceride imbalances, AUC 0.69 for preterm prediction. 📊👶

Exploring hypertension’s precision medicine: genetics, microbiome, and AI’s role in personalized treatment. 🧬💡

AI in Inherited Retinal Dystrophies: Promising Solutions Amidst Challenges 🤖👁️

Insulin resistance mediates hypertension-NAFLD link; TyG-WC shows 32.03% effect. Risk models achieve 0.91 AUC. 📊🩺

AI tools are aiding scientists in tracking disease origins and immune responses, enhancing treatment strategies. 🧬🔍

Implementation science bridges AI and medical imaging, addressing barriers for effective clinical adoption. 🤖📊

Immune checkpoint inhibitors revolutionize cancer therapy, yet challenges like efficacy variability and adverse events persist. 📊💉