Deep learning model predicts how individual cells influence disease outcomes

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...
GEN - Genetic Engineering and Biotechnology News

Computational Model Predicts Telomere Length from Images of Routine Histopathology Slides

The model has the potential to transform the ability to study telomere biology, learn more about human aging, and ultimately help people preserve better health as they age.

Machine learning could help predict how people with depression respond to treatment

Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people with depression are more likely to improve with digital cognitive behavioral ...
Frontiers

AI-Driven Spatiotemporal Data Mining: Novel Architectures for Imputation and Forecasting

Accurate spatiotemporal prediction is fundamentally essential for anticipating and managing the dynamic evolutions within global physical, environmental, ...
Frontiers

Trustworthy AI for Medical Imaging: Advanced Modeling and Clinical Prediction

Medical imaging is a process of visualizing the tissues, organs and structure of the human body to diagnose, monitor, and treat medical conditions. It plays ...
Barron's

Cleveland-Cliffs Inc.

Cleveland-Cliffs, Inc. is a flat-rolled steel company, which engages in provision of iron ore pellets to the North American steel industry. It focuses on the production of metallic and coke, iron ...
IEEE

Using Machine Learning Models to Predict Estimated Time of Arrival (ETA) Based on Doordash Order Data

Abstract: Accurate prediction of Estimated Time of Arrival is critical for food delivery platforms like DoorDash, Uber Eats, and Meituan, which face challenges in dynamic operating conditions. This ...
Journal of Medical Internet Research

Developing and Validating a Machine Learning Algorithm to Predict the Risk of Incident Opioid Use Disorder Among OneFlorida+ Patients: Prognostic Modeling Study

Methods: This prognostic modeling study used 2017‐2022 OneFlorida+ EHR data to develop and validate ML algorithms predicting 3-month incident OUD risk. We included 182,083 adults (≥18 y) without ...
IEEE

A Data-Driven Model to Predict Regular Strength Exercise Patterns in Patients With Chronic Obstructive Pulmonary Disease: A Secondary Analysis

Abstract: Regular exercise plays a crucial role in the management of chronic obstructive pulmonary disease (COPD), yet many patients struggle with adherence to such health-promoting behaviors. This ...
News Medical

Using Artificial Intelligence to Predict Chronic Disease Through Diet and Multi-Omics Data

Artificial intelligence (AI) refers to computer systems designed to perform tasks that require human intelligence, while machine learning (ML) is used to learn patterns from data and subsequently ...
KXAN

Central Texas fire departments adopt AI modeling tool to predict and mitigate wildfire spread

TRAVIS COUNTY, Texas (KXAN) — Several Central Texas fire departments have adopted a new wildfire risk modeling tool to help firefighters better prepare and mitigate wildfire threats. The ‘Mitigate’ ...