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 ...
Seeking Alpha

'No Idea' Investing: How I Built A Concentrated, Fundamentals-Based Portfolio Using Nothing But Algorithms

But unlike most quants, I run a concentrated, fundamentals-based portfolio. More than 50% of my fund is invested in only eight companies, and they're the kinds of stocks that Peter Lynch and Charlie ...
IEEE

Boosting Algorithm to Handle Unbalanced Classification of PM

Abstract: Air quality conditions are now more severe in the Jakarta area that is among the world’s top eight worst cities according to the 2022 Air Quality Index (AQI) report. In particular, the data ...
IEEE

Predicting Diabetic Retinopathy and Nephropathy Complications Using Machine Learning Techniques

Abstract: Diabetes and its complications, especially Diabetic Retinopathy (DR) and Diabetic Nephropathy (DN) is a big challenge to the global healthcare system and needs accurate predictive models to ...
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 ...
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 ...
Neuroscience News

Invisible Tire Dust Hijacks Alzheimer’s Predictor Genes

Summary: Researchers deployed an advanced, data-driven framework combining integrative network pharmacology, transcriptomics, machine learning, and molecular docking simulations. Their computational ...