A molecular ‘reset button’ for reading the brain through a blood test
Peer-Reviewed Publication
Updates every hour. Last Updated: 2-Apr-2026 17:15 ET (2-Apr-2026 21:15 GMT/UTC)
In a remarkable stride towards environmental sustainability, researchers at the Department of Biotechnology and Medical Engineering, National Institute of Technology Rourkela, India, have developed a novel approach to predict the adsorption capacity of biochar using machine learning. This breakthrough, detailed in their latest study titled "Machine Learning-Driven Prediction of Biochar Adsorption Capacity for Effective Removal of Congo Red Dye," offers a powerful solution to combat dye pollution.
Researchers examined five AI models on multiple genomic tasks to see how well they performed
Models performed well overall, with each having strengths and weaknesses based on the desired task
Study provides a framework for researchers to choose optimal AI models for specific genomic tasks
To a human, microplastics are very small at less than 5 millimeters (mm) wide. But to an insect, microplastics might be the same size as the food they usually eat. Researchers reporting in ACS’ Environmental Science & Technology have shown that crickets can and will consume polyethylene microplastics if their mouth is larger than the plastic particle. The study suggests that crickets — and likely many other insects — cannot distinguish plastic from food.