The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

Chao Hu is at the School of Mechanical, Aerospace, and Manufacturing Engineering, University of Connecticut, Storrs, Connecticut 06269, USA. The second category, data-driven lifetime prediction, uses ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

India’s engineering workforce faces a growing AI skill paradox, reveals a Scaler-CMR study. While most engineers feel ...

Introduction Artificial Intelligence (AI) enables computers to perform tasks that normally require human intelligence- such as learning from data, recognizing ...

Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, ...

While some industries have been slower to explore how they might use AI in their operations, the financial services sector ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

A review led by Adelaide University researchers has found there's a lack of clear guidelines around the early testing of AI tools in health clinics during a process known as silent trials. The global ...

Overview Artificial intelligence seems to be transforming drug discovery in 2026, enabling faster molecule design, smarter clinical trials, and reduced R&D ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Building an AI infrastructure for biotech. Bacteria that munch on cancer. How to best make a cold brew. All that and more in ...