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 ...

Recent study focused on predicting short birth intervals (defined as less than 33 months) among reproductive-age women in ...

This study published in Robot Learning has been focused on water analysis using the combination of decision making and machine learning for a recently developed robotic system. The unique procedure ...

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

The life and health insurance industry landscape across the globe is now confronting mounting challenges such as increasingly ...

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

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

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 ...