Health researchers across the U.S. are using artificial intelligence to improve medical research and treatment, with a focus on diseases like cancer, Alzheimer’s, and…
Browsing: Diabetes
This article discusses the importance of effective blood glucose management for people with diabetes and the use of machine learning techniques to predict hypoglycemia…
The HHS CREATE team has explored the use of artificial intelligence to improve medication dosages for patients with conditions such as diabetes and blood…
A new study published in Nature Medicine describes how Stanford Medicine experts have implemented major advances in intensive diabetes management, including addressing equity issues…
This study developed a multi-risk prediction framework using Cardiorespiratory Fitness Data to predict the risk of mortality, hypertension, and diabetes. The Auto-Weka framework was…
This article discusses the use of reinforcement learning in healthcare to personalize text message content for individuals with diabetes. The intervention improved adherence to…
This paper presents a new dataset for AP disease and compares different Machine Learning algorithms to predict AP. An explainable approach based on Generalized…
This study evaluated the performance of machine-learning models used in previous clinical studies to predict HBV or HCV infection in patients with diabetes. The…
Afon Technology is a Welsh-based company that is revolutionizing diabetes management by developing needle-free technology and harnessing the valuable insights from data generated by…
This article discusses the use of natural language processing (NLP) to automatically identify hospitalizations related to cardiovascular disease (CVDs) from free-form text describing routine…