An article recently published in Nature proposes a new way to evaluate data quality for artificial intelligence used in healthcare. Several documentation efforts and frameworks already exist to ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds—those with high ...

A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...

Can you use the new M4 Mac Mini for machine learning? The field of machine learning is constantly evolving, with researchers and practitioners seeking new ways to optimize performance, efficiency, and ...

Neuroblastoma is the most common solid tumor in infants and accounts for nearly 15% of all pediatric cancer-related deaths. Despite decades of progress in surgery, chemotherapy, and stem cell ...

Conceived by French scientists, the novel system uses ensemble learning and does not require anything more than a commercially available optimizer. Before it makes a decision, the method combines K ...

Griffith researchers built and tested a digital archaeology framework to learn more about the ancient humans who created one ...

Chlorinated organic pollutants (COPs), widely used in industry and agriculture, persist in soil and groundwater for decades ...