Machine learning and cell imaging combine to predict effectiveness of multiple sclerosis medication

Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...
NatureOpinion

Machine learning reveals potential consequences of cuts to US research

Governments have the right to decide how to spend money on science. Modelling shows that making instant cuts to grants ...

Machine learning model helps predict urgent care visits for lung cancer patients

A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported ...
CBSSports.com

NFL player props, odds and bets: Week 1, 2025 NFL picks, SportsLine Machine Learning Model AI predictions, SGP

The arrival of the 2025 NFL season means more than just making spread or total picks, as it also gives bettors the opportunity to make NFL prop bets on the league's biggest stars. From the 13 games on ...
GitHub

machine-learning-projects

This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to ...
IEEE

Comparative Analysis of Feature Selection Techniques for Blood Sample-Based Multiple Disease Diagnosis Using Machine Learning

Abstract: Omitting feature selection leads to large increases in prediction error for disease diagnosis models from machine learning. The proposed study implies the ...
IEEE

Local Differential Privacy Is Not Enough: A Sample Reconstruction Attack Against Federated Learning With Local Differential Privacy

Abstract: Reconstruction attacks against federated learning (FL) aim to reconstruct users’ samples through users’ uploaded gradients. Local differential privacy (LDP) is regarded as an effective ...
GitHub

Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...