Tag:
Metabolic Diseases
AI
Advanced Language Model for Enhancing Complex Cardiology Care
This study explores the effectiveness of Large Language Models (LLMs) in assisting general cardiologists with diagnosing rare, life-threatening cardiac diseases, which often require specialized...
AI
Enhancing Primary-to-Specialist Care Transitions with an LLM Chatbot: Results from a Randomized Controlled Trial
The study on the PreA healthcare platform, approved by various ethical committees, aimed to enhance consultation efficiency and patient-centered care via a patient-facing chatbot...
AI
Comprehensive Assessment of Large Language Models for Medical Applications Using MedHELM
The "Papers with Code" repository highlights recent advancements in artificial intelligence (AI) applied to healthcare, specifically addressing question answering in the MedQA dataset. Khosravi...
AI
Xunming Biotech Secures Tens of Millions in Series A Funding: AI Enhances Novel Antibody Molecule Design
Aureka Biotechnologies has successfully completed a Series A financing round worth tens of millions of US dollars, led by Matrix Partners China and Qiming...
AI
Personalized Sleep and Fitness Coaching with an Advanced Language Model
In response to the lack of comprehensive datasets in personal health, we developed specialized datasets for evaluating the capabilities of PH-LLM. These include professional...
AI
Revealing the Surprising Power of Large Language Models in Predicting Aging Status
In a groundbreaking study published in Nature Medicine, Li et al. explore the use of large language models (LLMs) for predicting biological age across...
AI
Predicting Biological Age in Large Populations Using Advanced Language Models
The recent literature highlights critical insights into the challenges of aging, emphasizing the intersection of biological, environmental, and genetic factors. Works by Partridge et...
AI
Revolutionizing Transplantation: The Impact of AI, Emerging Technologies, and Xenotransplantation
The recent literature emphasizes critical advancements in organ transplantation, chronic disease epidemiology, and emerging technologies influencing healthcare outcomes. Research by Bozkurt et al. (2023)...