Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials science. However, conventional methods are computationally intensive and ...

Some bacterial species, particularly some linked to inflammation, are associated with coronary artery disease, a common form ...

Aging plays a significant role in the disease onset and progression of multiple cerebrovascular events. Identification of the ...

Seed plants are essential as a source of food, fuel, medicine, and more. Now, a multidisciplinary team of researchers has ...

Risk stratification of patients with chest pain has traditionally focused on identifying obstructive coronary artery disease (CAD). Using this traditional approach, many symptomatic individuals are ...

This important and compelling study establishes a robust computational and experimental framework for the large-scale identification of metallophore biosynthetic clusters. The work advances beyond ...

Tamil Nadu plans to expand Type 1 diabetes specialized care centres from seven to all government medical colleges for better patient support.

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Gay and bisexual men vs heterosexual men have significantly higher odds of disorders of gut-brain interaction (DGBI), including irritable bowel syndrome (IBS), chronic constipation (CC), and ...

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated. Subscribe to our newsletter ...