Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

Ophthalmology Times connects eye care professionals with surgery, imaging, gene therapy, & diagnostic advances to enhance clinical and patient care.

Recent scientific article explores the use of machine learning techniques to identify the key risk factors associated with ...

What if plants could speak when they were thirsty? Agriculture, in essence, is a dialog among crops, soil and climate. Yet drought, the most insidious stressor, remains largely silent until its damage ...

Inter-patient tumor heterogeneity refers to transcriptional differences between cancer cells of different patients. Because of their distinct mutational histories, spatial location and interactions ...

An AI tool could help cardiologists identify and target cells that trigger arrhythmia in patients with ventricular ...

Study published in The Journal of Thoracic and Cardiovascular Surgery indicates OneBreath™ technology can help diagnose and predict pneumonia from a single exhale. "Exhaled breath is an extraordinary ...

Food production facilities, particularly those in continuous, high-throughput environments such as sausage manufacturing, face a unique combination of operational challenges. Equipment must operate ...

In an age where data drives decisions and automation defines excellence, the insurance industry stands at the cusp of a digital renaissance. At the ...

Modern AI systems are no longer built around a single model that handles every task. Instead, they rely on collections of models, each designed for specific purposes. At the center of this setup is ...

Rice is a staple crop for over half the world’s population, and accurate, timely information on its planted area and production is crucial for food security and agricultural policy, particularly in ...