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

The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...

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

As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, autoimmune diseases, and many other conditions. With the market for these ...

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 ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...

The recent advent of AI is transforming daily life from streamlining routine tasks to augmenting productivity and ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...