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.

Drug repurposing for neglected and zoonotic diseases.
Exploring drug repurposing for neglected diseases can enhance research efficiency and reduce costs. 🌍💊...

Artificial intelligence modeling of biomarker-based physiological age: Impact on phase 1 drug-metabolizing enzyme phenotypes.
AI models assess physiological age using biomarkers, impacting drug metabolism. Key predictors include glycohemoglobin...

Performance evaluation of a deep learning-based cascaded HRNet model for automatic measurement of X-ray imaging parameters of lumbar sagittal curvature.
A deep learning model shows high accuracy in measuring lumbar curvature from X-ray images....

NHS to Introduce New Cancer Screening Notifications via App
NHS App to notify women about cancer screenings 📱. New service starts December 2024,...

From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non-Invasive Precision Medicine in Cancer Patients.
Radiogenomics combines imaging and genetics for cancer treatment. 🤖📊 This review highlights AI's role...

An Ethical Perspective on the Democratization of Mental Health With Generative AI.
Exploring ethical implications of GenAI in mental health. 🤖🧠 Access and risks must be...

Enhanced predictability and interpretability of COVID-19 severity based on SARS-CoV-2 genomic diversity: a comprehensive study encompassing four years of data.
A recent PubMed article explores how SARS-CoV-2 genomic diversity affects COVID-19 severity. Key findings...

Establishing Guidelines for Ethical AI Use in Healthcare
Guidelines for ethical AI use in healthcare are essential for safety and transparency. 🏥🤖...

Deciphering the role of lipid metabolism-related genes in Alzheimer’s disease: a machine learning approach integrating Traditional Chinese Medicine.
Recent research highlights lipid metabolism-related genes' role in Alzheimer's disease. Machine learning identifies potential...
