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 consumer data. By combining ...
ahajournals.org

Big Data and Trustworthy AI for Heart Failure: A Review

The rapid evolution of machine learning techniques, combined with the growing availability of large and diverse data sets, is poised to transform heart failure research and clinical care. This review ...
The Lancet

Identifying common disease trajectories of Alzheimer’s disease with electronic health records

aDepartment of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA bMedical Informatics Home Area, Department of Bioinformatics, University ...
Frontiers

Advances in artificial intelligence applications in the field of lung cancer

Lung cancer remains a leading cause of cancer-related deaths globally, with its incidence steadily rising each year, representing a significant threat to human health. Early detection, diagnosis, and ...
Frontiers

Deciphering the molecular landscape of rheumatoid arthritis offers new insights into the stratified treatment for the condition

For Rheumatoid Arthritis (RA), a long-term chronic illness, it is essential to identify and describe patient subtypes with comparable goal status and molecular biomarkers. This study aims to develop ...
IEEE

K-Means and Alternative Clustering Methods in Modern Power Systems

Abstract: As power systems evolve by integrating renewable energy sources, distributed generation, and electric vehicles, the complexity of managing these systems increases. With the increase in data ...
GitHub

MSD-IRIMAS/Multi_Comparison_Matrix

This repo is a long term used benchmark method that generates a Multi-Comparison Matrix where the user ca choose whether to include a full pairwise multi-comparate comparison or to choose which ones ...