A new study shows that deep learning can accurately predict the impact of environmental regulations before they are implemented, outperforming traditional expert models. Applied to the Clean Water Act ...

Scientists have developed AI-based system that can predict wheat yields early and with high accuracy using handheld field sensors and deep learning ...

LazySlide, a new computational tool designed to connect whole-slide pathology images with RNA sequencing data through foundation models, addresses one of the persistent bottlenecks in cancer research: ...

XRP is in good shape in the short term. Finbold’s AI prediction model, which combines results from Gemini 3 Flash, ChatGPT 5.2 and Grok 4.1, predicts an average ...

Researchers developed a chip-based platform, “μPharma,” that rapidly predicts drug response through AI analysis for children ...

However, a decision taken by the company earlier in 2024 underlined how researchers in sectors like drug discovery see the importance of the tool by triggering the creation of multiple workalikes ...

Applying artificial intelligence techniques to cardiac ultrasound data may make it easier to identify patients with advanced heart failure, a new study has found. The study—led by investigators at ...

The FDA is working to replace animal testing in drug development with alternative methods, aiming to be more ethical and potentially faster.

Chemists may soon have one less rigorous step to worry about when searching for the right molecules to accomplish their highly specific innovation needs. Scientists have now built a new machine ...

FAYETTEVILLE, GA, UNITED STATES, March 20, 2026 /EINPresswire.com/ -- Using machine learning regression models, we ...

Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although conductor-like screening ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...