A high drug failure rate is more than just a pattern recognition problem. Here's how we can address some of the root causes.

Researchers at the University of Toronto see a future where a single injection under the eyelid could replace months of daily ...

Middle molecules with a molecular weight of more than 1,000 are difficult to synthesize due to multiple steps and time-consuming nature, demanding the development of a new approach that can overcome ...

Access to data and to skills specific to AI are among the key challenges pharma companies face to unlock the technology’s ...

Choi says AI adoption is already broad and impactful to the drug development process ... AI can train on this new dataset to find variants as part of the candidate optimisation process and help us ...

As part of the funding, Latent Labs aims to leverage generative artificial intelligence to computationally create novel ...

New drugs are typically approved based on highly ... Such behaviour breeds inefficiency, mistrust, and uncertainty within the drug development process, increasing costs. Fortunately, blockchain ...

Scientists develop groundbreaking dual-action drug RI-AG03 that targets toxic tau proteins in Alzheimer's disease, showing ...

Nature Medicine has been chronicling advances in medical technology and health care. To mark the journal’s 30th anniversary, each month ...

LinkedIn founder and venture capitalist Reid Hoffman has just launched drug discovery startup Manas AI, alongside Dr.