Without high-performance compute and machine learning for mutation analysis, immunogenicity prediction, sequence optimization ...

One of the fields where it can be used effectively is healthcare including drug discovery and personalized medicine.

Genome-wide association data reveals a shared genetic foundation between schizophrenia and the use of specific prescription medications.

For people with lymphoma, getting the right diagnosis can be a race against time. Symptoms such as swollen lymph nodes, fever ...

Capturing carbon or storing hydrogen to combat global warming requires compressing gases into sponge-like porous materials.

North Carolina State University wins NIIMBL grant to advance affinity adsorbent-based purification method for vector production.

The experimental mRNA vaccine successfully cleared phase 3 clinical trials, the last step necessary before it can be approved ...

Artificial intelligence in energy management refers to computational algorithms — especially machine learning and data analytics — that learn from data to optimise energy production, distribution, and ...

An analysis by Suraj Srinivasan shows how AI creates significant value not only for the technology's developers, but for ...

If AI can rapidly design novel medicines, could it eventually create performance-enhancing substances that anti-doping ...

Cardiovascular diseases are significant contributors to both global morbidity and mortality, highlighting the pressing need for enhanced risk assessment ...

Microbial communities are highly sensitive to environmental changes, yet their enormous diversity makes it difficult to ...