Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
gut.bmj

IDDF2026-ABS-0469 From algorithm to intervention: the emerging role of machine learning in probiotic clinical research

1 Microbiome Research Group, Research Centre for Life Science and Healthcare, Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute (CBI), University of Nottingham Ningbo ...
Scientific Research Publishing

From Prediction to Action: An Agentic AI Framework for Workforce Substitution and Risk-Aware Automation Decisions ()

The Decision & Action Layer translates fused predictions into concrete actions. The Decision Engine performs inference, ...
British Journal of Ophthalmology

Identifying patients with poor visual outcomes after primary rhegmatogenous retinal detachment surgery using machine learning

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
IEEE

Breast Cancer Risk Prediction using XGBoost and Random Forest Algorithm

Abstract: Breast cancer is as one of the common and serious cause of death among women globally. This is a disease where the cells grow out of control inside the breast. Family History of cancer ...