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Using Artificial Intelligence to Predict Chronic Disease Through Diet and Multi-Omics Data

Discover how AI is transforming nutritional science by turning complex diet and omics data into predictive tools that reshape chronic disease prevention and personalized care.

Clinically informed AI outperforms foundation models in spinal cord disease prediction

Cervical spondylotic myelopathy (CSM) refers to spinal cord compression from arthritis in the neck and is the leading cause of spinal cord dysfunction in older adults. CSM is a chronic, progressive ...
BMJ

Predicting cardiovascular events from routine mammograms using machine learning

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
IEEE

Optimizing Heart Disease Prediction: A Collaborative Approach of Support Vector Regression and Grey Wolf Optimizer

Heart disease is one of the leading causes of death worldwide, and accurate risk identification is essential for early intervention. This study explores the application of Support Vector Regression ...
IEEE

Plant Disease Detection using Deep Learning Models in Precision Agriculture

Abstract: Plant diseases affect agriculture worldwide due to their lower crop yields and increased pesticide need. This study explores how deep learning is used for plant disease diagnosis, ...