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 ...

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

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 ...

A research team has developed a novel approach combining refined spatial competition mapping with powerful ensemble learning ...

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 ...