Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

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 ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

BostonGene, the developer of the leading AI foundation model for tumor and immune biology, today announced another major independent validation of its AI and machine learning (ML) capabilities in a ...

Letters, a digital health company specializing in AI-driven hormone insight platforms, today announced the results of a U.S. market validation study demonstrating strong indicators of commercial ...

Musculoskeletal (MSK) conditions drive a large share of global pain, disability, and lost productivity. Rehabilitation can be effective, but outcomes vary ...

A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...

The reason for this shift is simple: data gravity. The core holds the most complete, consistent and authoritative dataset ...

As humans age beyond early adulthood, their physical and mental functions tend to slowly worsen over time. One of the most ...

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

While terahertz systems still rely on four core hardware levers—sources, detectors, modulators/polarization control, and near ...

These findings are detailed in Integration of Artificial Intelligence in Food Processing Technologies, a detailed review that ...