New advances in oral microbiology and tumor research.
Exploring the link between oral microbiota and cancer: 10% of tumors linked to pathogenic bacteria. ๐ฆ ๐ฆท
July 31, 2025
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Discover the newest research about AI innovations in ๐ค Machine Learning.
Influencing factors and dynamic changes of COVID-19 vaccine hesitancy in China: From the perspective of machine learning analysis.
COVID-19 vaccine hesitancy in China: key factors include age, social norms, and vaccine knowledge. ๐๐
July 31, 2025
Collaboration Between UHL, UHN, and Microsoft to Enhance AI in Healthcare
UHL, UHN, and Microsoft partner to advance AI in healthcare, aiming to improve patient care and streamline services. ๐ค๐ป
July 31, 2025
Empowering tomorrow’s public health researchers and clinicians to develop digital health interventions using chatbots, virtual reality, and other AI technologies.
Exploring AI in Public Health Education: Chatbots & VR Integration ๐๐ค
July 31, 2025
Enhanced EEG signal classification in brain computer interfaces using hybrid deep learning models.
Hybrid deep learning models boost BCI accuracy to 96.06% in EEG classification, outperforming traditional methods. ๐ง ๐
July 30, 2025
Diagnosis of unilateral vocal fold paralysis using auto-diagnostic deep learning model.
Deep learning enhances UVFP diagnosis: 99% accuracy with video analysis vs. 98% with images. Significant clinical implications! ๐๐ค
July 30, 2025
AI Identifies New Antibiotic Candidates from Venom
AI identifies potential antibiotics from snake and spider venom, offering hope against antibiotic resistance. ๐๐ท๏ธ๐
July 30, 2025
Integrating chemical artificial intelligence and cognitive computing for predictive analysis of biological pathways: a case for intrinsically disordered proteins.
Exploring AI’s role in predicting biological pathways through intrinsically disordered proteins. ๐ค๐งฌ Key insights from recent research!
July 30, 2025
AI Effectively Classifies Pancreatic Cysts Using Imaging Data
AI accurately classifies pancreatic cysts using MRI and CT scans, achieving up to 99% accuracy. ๐ฉป๐ค
July 29, 2025
The Artificial Intelligence-Assisted Diagnosis of Skeletal Dysplasias in Pediatric Patients: A Comparative Benchmark Study of Large Language Models and a Clinical Expert Group.
AI models show 62.2% accuracy in diagnosing skeletal dysplasias, compared to 82.2% by clinical experts. ๐ค๐
July 29, 2025