TSOLife Secures $43 Million in Series B Funding for Senior Living Innovations
TSOLife raises $43 million for its AI platform, Minerva, enhancing senior living through data-driven insights and community connections. 🏡📊
iPiDA-LGE: a local and global graph ensemble learning framework for identifying piRNA-disease associations.
iPiDA-LGE enhances piRNA-disease association detection using local and global graph learning. 📊🔬 Improved predictive performance noted!
AI Model Trained on NHS Data to Predict Health Outcomes
AI model Foresight uses NHS data to predict health outcomes, aiming for personalized care and early intervention. 📊🤖
Preferences for the Use of Artificial Intelligence for Breast Cancer Screening in Australia: A Discrete Choice Experiment.
Australian women favor AI in breast cancer screening, preferring mixed reading methods for better accuracy and reduced wait times. 📊🤖
Cedars-Sinai and Redesign Health Collaborate on New Digital Health Initiative
Cedars-Sinai and Redesign Health are collaborating on a digital health initiative to enhance patient care and operational efficiency. 🏥💻
Cross-Institutional Evaluation of Large Language Models for Radiology Diagnosis Extraction: A Prompt-Engineering Perspective.
Evaluating LLMs in Radiology: 500 Reports, 8 Models, High Accuracy! 📊🤖
Healthcare Providers Eye Tech Deals to Tackle Labor Shortages
Healthcare providers are exploring tech deals to address labor shortages, focusing on AI and cybersecurity. 🤖💼
Predicting adenine base editing efficiencies in different cellular contexts by deep learning.
Adenine base editing efficiency prediction using deep learning shows R values up to 0.94! 🧬📊 Key insights from PubMed article.
Digital Patient Record System Implemented Across Northern Ireland
Digital Patient Record System Launched in Northern Ireland 🏥📱. Citizens can now access their health records through the My Care portal.
Artificial intelligence in pediatric otolaryngology: A state-of-the-art review of opportunities and pitfalls.
AI in pediatric otolaryngology: promising diagnostics, challenges in data, and future research directions. 🤖👶