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Scientists use AI and optogenetics to make major breakthrough in Parkinson's treatment

A South Korean research group has reported in a new paper that artificial intelligence and light-based genetic tools can work together to diagnose and stop Parkinson’s-like disease in mice. The work ...
International Monetary Fund

Monitoring Privately-held Firms' Default Risk in Real Time: A Signal-Knowledge Transfer Learning Model

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation We develop a mixed-frequency, tree-based, gradient-boosting model designed to assess the default risk of privately held ...
ascopubs.org

Early Diagnosis of Pancreatic Cancer via Machine Learning Analysis of a National Electronic Medical Record Database

Pancreatic cancer (PaC) is often diagnosed at advanced stages, resulting in one of the lowest survival rates among patients with cancer. The purpose of this study was to investigate whether machine ...
Monthly Prescribing Reference

Model Developed for Predicting Missed Appointments in Primary Care

The analysis included 109,328 patients and 1,118,236 appointments, including 77,322 and 75,545 (6.9 and 6.8%) no-shows and late cancellations, respectively. HealthDay News — The gradient boost model ...
WTEN

Annals of Family Medicine: Machine Learning Model Accurately Predicts No-Shows and Late Cancellations in Primary Care

PROVIDENCE, R.I., July 29, 2025 /PRNewswire/ -- Findings from a new study published in Annals of Family Medici ne show that a machine learning model accurately predicts no-shows and late cancellations ...
News Medical

New proteomic clock predicts biological age and major health risks across diverse populations

In a recent study published in the journal Nature Medicine, researchers developed a proteomic age clock using plasma proteins to predict biological age and the associated health risks. They found that ...