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 ...

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 ...
Forbes

Why Soil Carbon Markets Hinge On A Measurement Few Can Agree On

Forbes contributors publish independent expert analyses and insights. Dara-Abasi Ita covers AI in boring asset classes and boring markets. This voice experience is generated by AI. Learn more. This ...
The Conversation

Why predicting battery performance is like forecasting traffic − and how researchers are making progress

Lithium-ion batteries are quietly powering large parts of the world, including electric vehicles and smartphones. They have revolutionized how people store and use energy. But as these batteries ...
ascopubs.org

Prediction of Patients With High-Risk Osteosarcoma on the Basis of XGBoost Algorithm Using Transcriptome and Methylation Data From SGH-OS Cohort

Benefits of Combining Circulating Tumor DNA With Tissue and Longitudinal Circulating Tumor DNA Genotyping in Advanced Solid Tumors: SCRUM-Japan MONSTAR-SCREEN-1 Study Osteosarcoma (OS) is the most ...
Psychology Today

New AI Tool Detects Autism Early in Toddlers

Scientists have developed a new artificial intelligence (AI) diagnostic tool that can help identify autism risk in toddlers. A new study shows how AI machine learning can predict Autism Spectrum ...