The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

Researchers employed a machine learning technique known as random forest analysis and found that it significantly outperformed traditional methods in predicting which hospitalized patients with ...

Researchers at the Indian Institute of Science (IISc) and the Qatar Science and Technology Research Center (QSRTC) have ...

A study used machine learning to predict outcomes for hospitalized cirrhosis patients. Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by ...

Researchers employed a machine learning technique known as random forest analysis and found that it significantly ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, researcher Jan van Rijn is contributing to open science, aiming to make machine ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin ...

The Machine Learning Development Market is expected to grow from USD 35.0 billion in 2023 to USD 942.4 billion by 2033, with ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Explore how AI and Machine Learning are reshaping India's mobility landscape, enhancing adaptability, collaboration, and ...

Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...