How AI uncovers new ways to tackle difficult diseases

The article explores the transformative role of AI in medical research, particularly drug discovery, highlighting its potential to revolutionize the field. AI is being used by both startups and major pharmaceutical firms to accelerate and reduce the costs of drug development, which typically takes 10-15 years and costs over $2 billion.

Insilico Medicine, a leading player in this space, is advancing AI-designed drugs, including one for idiopathic pulmonary fibrosis (IPF), though none have been fully approved yet. Notable organizations like Alphabet’s Isomorphic Labs are also investing heavily in AI drug design.

AI is primarily utilized in two areas: identifying therapeutic targets by mining vast biological data, and designing optimal drug molecules using generative AI. While AI can streamline the process, it still requires significant human collaboration. Experts believe AI could lead to fewer failures in clinical trials, with 75 AI-discovered molecules already in trials and more expected. However, challenges remain, including defining what constitutes an “AI-discovered” drug.

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Great to see AI used in this way!

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The fact that AI can speed up the process and make it more affordable is a huge step forward, especially when you consider how long and expensive traditional drug development can be. It’s also exciting to think about how AI could reduce clinical trial failures in the future. What do you think is the next big breakthrough AI could help with in healthcare?

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honestly!! this is what AI should be used for

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