Influenza forecasting may be enhanced using AI/ML models that identify and integrate key attributes of existing influenza surveillance systems.

A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported ...

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

(HealthDay News) — Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic kidney disease (CKD) progression to end-stage renal ...

Autonomous vehicles, connected ecosystems, and smart factories are only the beginning. Generative AI is pushing the auto ...

Background Cardiovascular risk is underassessed in women. Many women undergo screening mammography in midlife when the risk ...

M, a transformer-based AI trained on UK Biobank and Danish health data to predict and simulate lifetime trajectories for ...

Chris Guthrie, CFA, President and CEO, CIO, Senior Portfolio Manager, Founding Partner, Hillsdale Investment Management; ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...