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With new funding, Atomic AI envisions RNA as the next frontier in drug discovery

TechCrunch

A rotating 3D model of an RNA strand structure predicted by PARSE. The biology is different, and the way the models work is different, but the idea is the same: a machine learning model trained on a limited set of a type of molecule that can make accurate predictions about the structure of other molecules of that type. .

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Generative AI in Healthcare

John Snow Labs

The journey of Generative AI in healthcare began in the century building upon the progress made in artificial intelligence (AI) and machine learning (ML). Additionally the technology shows potential, in planning and simulation by offering surgeons 3D models to practice and plan before carrying out procedures.

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Radar Trends to Watch: October 2022

O'Reilly Media - Ideas

In addition to continued fascination over art generation with DALL-E and friends, and the questions they pose for intellectual property, we see interesting things happening with machine learning for low-powered processors: using attention, mechanisms, along with a new microcontroller that can run for a week on a single AA battery.

Trends 107
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AI in Drug Discovery and Repurposing: Benefits, Approaches, and Use Cases

Altexsoft

All these prompt the pharma industry to seek help from new technologies — and namely, artificial intelligence (AI) which holds a promise to speed up and otherwise improve drug discovery. Today, researchers usually apply high throughput screening (HTS) to select promising hits from a large library of chemical and biological compounds.