AI-Driven Protein Design Enhances Development of Intracellular Antibodies
AI-driven protein design improves the creation of stable intracellular antibodies, aiding diagnostics and biomedical research. 🧬🔬
Systems biology in the era of AI: “winter” or “evolution”?
Exploring AI's impact on systems biology: a pivotal shift or mere stagnation? 🤖🔬 Insights from Helmy & Selvarajoo's research.
Need for International Standards in AI Testing for Healthcare
Adelaide University researchers highlight the need for international standards in AI testing for healthcare. Variations in silent trials raise concerns. 🏥🤖
Application of Telehealth and Artificial Intelligence in Military Health Care: A Promising Combination for the Future.
Telehealth & AI in military healthcare: Enhancing access, efficiency, and patient monitoring in high-risk environments. 🚑🤖
EcoRxAgent: an AI agent for generating economically substitutable prescriptions.
AI-driven EcoRxAgent reduces prescription costs by 14.40% to 40.14% while ensuring therapeutic efficacy. 💊🤖
MaxGRNet: A multi-axis vision transformer with improved generalization for eye disease classification using explainable AI with insertion-deletion operations on fundus images.
MaxGRNet: Eye disease classification achieves 96.75% accuracy using multi-axis vision transformers and explainable AI. 👁️📊
Empowering AI data scientists using a multi-agent LLM framework with self-evolving capabilities for autonomous, tool-aware biomedical data analyses.
Revolutionary AI framework boosts biomedical data analysis success to 77%! 🤖📊 Explore BioMedAgent's capabilities!
AI Scribing Technology to Be Implemented Across 20,000 NHS Clinicians in London
AI scribing technology will assist 20,000 NHS clinicians in London, enhancing efficiency in patient documentation. 🏥💻
Humber Trust Secures Funding for NHS App Enhancements
Humber Trust receives funding for NHS app improvements, benefiting 11 other trusts using SystmOne. 📱💰
Hybrid deep learning and feature selection approach for autism detection from rs-fMRI data.
Hybrid deep learning enhances autism detection accuracy to 73% using rs-fMRI data. Significant implications for diagnosis! 🧠📊