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

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

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

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.

This doesn’t bode well for humanity. Just in case bots weren’t already threatening to render their creators obsolete: An AI model redefined machine learning after devising shockingly deceitful ways to ...

BIOPREVENT’ AI tool predicts transplant-related immune conflict and mortality risk using biomarkers, helping doctors ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

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

Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility practice for AI technologies in just four months.

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...