Cognixion and Blackrock Neurotech Collaborate on Brain-Computer Interface Solutions
Cognixion and Blackrock Neurotech collaborate on BCI solutions. Axon-R wearable interface aids research in neuroscience and neurorehabilitation. 🧠🔗
AI-Assisted Hypothesis Generation to Address Challenges in Cardiotoxicity Research: Simulation Study Using ChatGPT With GPT-4o.
AI in cardiotoxicity research: 96 hypotheses generated, 14% highly novel. Potential for improved patient outcomes! 💡❤️
Digital Health Service Reduces Hospital Visits for Care Home Residents
Digital health service Immedicare aids Liverpool care home residents, reducing hospital visits through 24-hour telemedicine consultations. 🏥📞
Quantitative Assessment of High-resolution Computer Tomography Imaging in a Super-responder to Nintedanib Therapy in a Patient with Idiopathic Pulmonary Fibrosis.
High-resolution CT reveals significant lung function improvement in super-responders to nintedanib therapy for IPF. 📊🫁
SpotitEarly Enters U.S. Market with $20.3 Million Funding for Cancer Detection
SpotitEarly launches in the U.S. with $20.3 million funding for AI and canine-based cancer detection. 🐶💰
Machine-Learning Assisted Screening with FIND FH® for Familial Hypercholesterolemia Among Youth.
Machine learning aids in detecting familial hypercholesterolemia in youth, enhancing screening efficiency. 📊👶
Innovative Use of VR and AI in Nursing at Duke University Health System
Duke University Health System integrates VR and AI in nursing to enhance safety training and improve staff retention. 🏥🤖
An analytic research and review of the literature on practice of artificial intelligence in healthcare.
AI in healthcare: Transforming surgery, diagnostics, and patient care. Challenges include ethics, data quality, and accessibility. 🤖📊
AI-Driven Personalization of Chemotherapy Dosing
AI enhances chemotherapy dosing precision, tailoring treatments to individual patient needs. Promising results from Singapore's research. 💉📊
From manual clinical criteria to machine learning algorithms: Comparing outcome endpoints derived from diverse electronic health record data modalities.
Machine learning enhances cancer PFS metrics extraction from EHRs, revealing 63%-99% progression rate discrepancies. 📊🤖