Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Background/aims The literature surrounding the relationship between obesity and glaucoma is conflicting. The aim of this ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

Chemotherapy for pediatric acute lymphoblastic leukemia (ALL) induces rapid and durable alterations in cerebrospinal fluid (CSF) metabolism, and a lipid-rich CSF signature measured early in treatment ...

A paper published in Biology Methods and Protocols, indicates that a new computational method may help researchers identify ...

Explore how AI-powered forensic data audits can enhance data literacy and improve air quality measurements for socio-economic ...

Canadian organizations are entering 2026 with strong confidence in their performance, driven by long-term investments in artificial intelligence (AI). New findings from IBM Institute of Business Value ...

A new paper in Biology Methods and Protocols, published by Oxford University Press, indicates that a new computational method may help researchers ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Pancreatic cancer has long been one of medicine’s most unforgiving puzzles, killing most patients within a few years and ...

When it comes to cardiovascular health, few supplements have sparked as much public interest — or confusion — as nattokinase.

This study investigated the dynamics of human cortical network activity with functional magnetic resonance imaging during movie watching and studied the modulation of these dynamics by subcortical ...