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. 📊🔬
May 8, 2026
Follow us
latest articles
Discover the newest research about AI innovations in 🦠 Microbiology.
Development and validation of a machine learning model for predicting positive blood cultures using vital signs in ICU patients.
Machine learning predicts positive blood cultures in ICU patients using vital signs. Accuracy: AUC 0.700 internal, 0.679 external. 📊🩸
April 25, 2026
Classification of Osteoporosis and Detection of Compression Fractures by Implementing Real-Time Object Detection System Upon Medical Radiographs.
AI in Osteoporosis Detection: YOLOv4 achieves 78.1% accuracy for osteoporosis classification and 68.3% for fractures. 📊🦴
March 21, 2026
Health Tech Suppliers Share Insights for 2026
Health tech suppliers predict significant advancements in NHS technology by 2026, focusing on AI integration, patient-centered care, and improved data management. 🏥💻
January 2, 2026
Multifactor machine learning models for predicting urinary tract infections: a pilot study.
Machine learning predicts UTIs using vitamin D levels, age, gender, and urine pH. Accuracy up to 88%! 📊🔬
December 13, 2025
Genomic data representations for horizontal gene transfer detection.
Evaluating 44 genomic data representations reveals RCKmer (k=7) with SVM achieves F1: 0.959 for HGT detection. 📊🔬
December 12, 2025
AI-Driven Structural Elucidation of the Bacteriophage KP32: Decoding Its Molecular Arsenal Against Klebsiella Pneumoniae.
AI Reveals KP32 Phage Structure: 500+ Proteins Targeting Klebsiella Pneumoniae! 🦠🔬
December 7, 2025
Artificial Intelligence for Predicting Lung Immune Responses to Viral Infections: From Mechanistic Insights to Clinical Applications.
AI predicts lung immune responses to viral infections, enhancing patient care and treatment strategies. 🤖🌬️
November 27, 2025
The global epidemiology, risk factors, and mortality prediction of nocardiosis: an easily missed opportunistic infection.
Nocardiosis: 9,750 cases analyzed; 19.8% mortality, 31.7% for disseminated infections. Machine learning predicts risks effectively. 📊🦠
November 27, 2025
Anaerobic microbial degradation of persistent organic pollutants in aquatic sediments: implications of climate change.
Anaerobic microbes can boost POP degradation by 50% under moderate warming, aiding climate change mitigation. 🌍🔬
November 21, 2025