Another incident that is etched in my memory also relates to Dr Karunaratna. I happened to be in his surgery when a poor lady brought her sick child. Having seen and dispensed the drugs free, Dr ...

Marking World Health Day on April 7, health experts have called for a stronger commitment to science-based decision-making to address increasingly complex and evolving health challenges in Sri Lanka ...

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...

Harvard University is offering free online courses for learners in artificial intelligence, data science, and programming.

Using six gut- and diet-derived metabolites, a machine learning model had 79% accuracy in classifying adults as having ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...

This project addresses the problem of predicting water levels in fish ponds - a critical factor in aquaculture management. Using Machine Learning, we can: Predict water levels based on environmental ...

This study applied three models—random forest (RF), gradient boosting regression (GBR), and linear regression (LR)—to predict county-level LC mortality rates ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...