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AI in Medical Research News

AI tool PIONEER transforms precision medicine

Cornell Chronicle - 25-Nov-2024

Transforming treatments with AI-driven insights into protein interactions and disease

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AI analysis identified unique gene as a key player in muscle ageing

Nottingham Trent University (NTU) - 17-Oct-2024

Findings offer hope for future therapies targeting sarcopenia and muscle loss

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Organa: the robot revolutionizing chemistry labs

MIT Technology Review - 17-Oct-2024

A new AI-powered system from the University of Toronto automates experiments

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Nobel prize awarded for AI breakthrough in protein science

BBC - 08-Oct-2024

AI transforms how we understand and target proteins

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AI revolutionizes research: A new era for scientific discovery

Singularity Hub - 07-Oct-2024

Balancing productivity gains with the risk of low-quality research

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AI-designed proteins create blood vessels from stem cells

Singularity Hub - 17-Jun-2024

This opens up new possibilities for regenerative medicine and tissue repair

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New AI model AlphaFold 3 predicts DNA and protein structures accurately

The Register - 09-May-2024

Though it has some flaws, it holds promise for future scientific advancements

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Google DeepMind's AlphaFold3 predicts how life's building blocks interact

The Guardian - 08-May-2024

The breakthrough could revolutionize drug discovery and disease treatment

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AI designs a more precise CRISPR gene editor for use in human cells

Singularity Hub - 25-Apr-2024

This could lead to safer and more effective treatments for genetic diseases

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Genomenon develops AI-powered tool to uncover links between genes and diseases

Inside Precision Medicine - 15-Mar-2024

This new technology could improve the accuracy of genetic testing

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Altos labs launches institute of computation to revolutionize medicine

Altos Labs - 09-Nov-2023

Advancing computational biology to reprogram cells and transform the future of healthcare

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AI and Genomics: Unlocking Potential with Caution

PHG Foundation - 14-May-2020

A report outlines how AI can advance genomics while addressing key challenges

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