Signals shaping
health AI.
A focused stream of research, industry developments and ideas selected for people building the future of health.
Research and developments, with a clear point of view.
Role of Inflammatory Markers and Doppler Parameters in Late-Onset Fetal Growth Restriction: A Machine-Learning Approach.
New research highlights the role of inflammatory markers and Doppler parameters in predicting late-onset...
Transforming Healthcare Experiences with Generative AI
Generative AI is reshaping healthcare, improving patient and staff experiences. Discover its potential impact....
Unraveling Cordia myxa’s anti-malarial potential: integrative insights from network pharmacology, molecular modeling, and machine learning.
Cordia myxa shows promise against malaria. 🌿 Key compounds identified may target IL6 and...
Shaping the future: perspectives on the Integration of Artificial Intelligence in health profession education: a multi-country survey.
AI is reshaping health profession education. A recent study highlights students' knowledge gaps and...
Crafting an AI-Driven Strategy with Digital Business Platforms
Explore AI-driven strategies with digital business platforms for enhanced efficiency and innovation in healthcare....
A systematic mapping study on gamification within information security awareness programs.
Gamification enhances information security awareness programs, addressing human error. A systematic review highlights trends...
Artificial intelligence applied to development of predictive stability model for intracranial aneurysms.
Artificial intelligence enhances predictive models for intracranial aneurysm stability. Key factors: age, WBC, and...
Unlocking the Potential of Generative AI through Cloud-Native Solutions
Generative AI's potential is enhanced by cloud-native solutions. Explore its value in healthcare technology....
FuseLinker: Leveraging LLM’s pre-trained text embeddings and domain knowledge to enhance GNN-based link prediction on biomedical knowledge graphs.
FuseLinker enhances link prediction in biomedical knowledge graphs using advanced embeddings and GNNs. Promising...