1 Department of Neuroscience, Institute of Psychopathology, Rome, Italy. 2 Department of Computer Engineering (AI), University of Genova, Genova, Italy. Accurately ...

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using machine learning and big data to improve health care and medical research. Both ...

Purpose: Brain tumor segmentation with MRI is a challenging task, traditionally relying on manual delineation of regions-of-interest across multiple imaging sequences. However, this data-intensive ...

A NEW study finds that machine learning models using data from digital inhalers can successfully predict chronic obstructive pulmonary disease (COPD) exacerbations up to 5 days in advance, offering a ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In early-stage drug design, machine learning models often rely on compressed ...

This project applies supervised machine learning techniques to predict survival on the Titanic dataset. It demonstrates the full ML pipeline including data preprocessing, model training, evaluation, ...

Abstract: Customer churn prediction is essential for businesses aiming to retain their customer base in competitive markets. This study leverages machine learning to predict customer churn, employing ...

Abstract: Customer segmentation is a vital strategy for businesses seeking to enhance their marketing efforts and optimize resource allocation. This research focuses on segmenting customers using the ...

Scientists are using machine learning to find new treatments among thousands of old medicines. Scientists are using machine learning to find new treatments among thousands of old medicines. Joseph ...