Discover the newest research about AI innovations in 🦠 Microbiology.
AI vs. Traditional ML in Predicting Antimicrobial Resistance: LLMs show 90%+ negative predictive value! 📊💉
AI and Oral Microbiome: Transforming Early Detection of Oral Cancer 🦷🤖
Lung lobe segmentation tools evaluated: TotalSegmentator excels, while data diversity enhances model accuracy. 📊🫁
Fecal microbiota impacts lung cancer immunotherapy response. Key taxa identified: Bacteroides caccae, Prevotella copri. 📊🦠
AI identifies potential antibiotics from snake and spider venom, offering hope against antibiotic resistance. 🐍🕷️💊
Nanomotion sensors revolutionize biology! 🧬 Highly sensitive, label-free detection enhances diagnostics and research. Key methodologies include AFM and AI integration. 📊
New biomarkers CD79A & GADD45A linked to RSV severity in children. Machine learning reveals critical immune insights. 📊🦠
Machine learning identifies high-risk HTLV-1 carriers for HAM, predicting 76.47% as likely to develop symptoms. 📊🔍
Exploring the gut virome’s role in health: diversity, phage therapies, and precision medicine advancements. 🦠💊
Adenine base editing efficiency prediction using deep learning shows R values up to 0.94! 🧬📊 Key insights from PubMed article.
