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
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Discover the newest research about AI innovations in 🦠 Microbiology.
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
AI Outperforms Humans in Identifying Intestinal Parasites in Stool Samples
AI surpasses human accuracy in detecting intestinal parasites in stool samples, enhancing diagnostic capabilities in laboratories. 🦠🔍
November 11, 2025
Fluorescent acid-fast stains for diagnosing mycobacteria and beyond: back to the future?
Fluorescent acid-fast stains enhance mycobacterial detection, improving sensitivity and expanding diagnostic applications. 📊🔬
October 26, 2025
ADAM-1: An AI Reasoning and Bioinformatics Model for Alzheimer’s Disease Detection and Microbiome-Clinical Data Integration.
AI model ADAM-1 enhances Alzheimer’s detection using multimodal data integration, achieving improved F1 scores and reduced variance. 📊🧠
October 3, 2025