Discover the newest research about AI innovations in ๐ฆ Microbiology.
AI model ADAM-1 enhances Alzheimer’s detection using multimodal data integration, achieving improved F1 scores and reduced variance. ๐๐ง
AI vs. Traditional ML in Predicting Antimicrobial Resistance: LLMs show 90%+ negative predictive value! ๐๐
AI and Oral Microbiome: Transforming Early Detection of Oral Cancer ๐ฆท๐ค
Lung lobe segmentation tools evaluated: TotalSegmentator excels, while data diversity enhances model accuracy. ๐๐ซ
Fecal microbiota impacts lung cancer immunotherapy response. Key taxa identified: Bacteroides caccae, Prevotella copri. ๐๐ฆ
AI identifies potential antibiotics from snake and spider venom, offering hope against antibiotic resistance. ๐๐ท๏ธ๐
Nanomotion sensors revolutionize biology! ๐งฌ Highly sensitive, label-free detection enhances diagnostics and research. Key methodologies include AFM and AI integration. ๐
New biomarkers CD79A & GADD45A linked to RSV severity in children. Machine learning reveals critical immune insights. ๐๐ฆ
Machine learning identifies high-risk HTLV-1 carriers for HAM, predicting 76.47% as likely to develop symptoms. ๐๐
Exploring the gut virome’s role in health: diversity, phage therapies, and precision medicine advancements. ๐ฆ ๐
