Elaine Chen covers biotech, co-writes The Readout newsletter, and co-hosts STAT’s weekly biotech podcast, The Readout Loud. You can reach Elaine on Signal at elaineywchen.70. Want to stay on top of ...

Recursion is using AI and machine learning to accelerate drug research and development. The stock has been under pressure amid an uncertain near-term financial outlook. Several clinical updates from ...

Built on top of Erlang, Elixir makes it easier to write good functional programming code and harder to mess it up. Here's a first look at this language on the rise. Elixir is one of the most ...

Recursion Pharmaceuticals has a flashy drug development platform. It has a lot to prove about whether that platform's use of AI is helpful. Some power players have backed it with significant ...

Recursion Pharmaceuticals leverages AI and machine learning to revolutionize drug discovery, reducing costs and accelerating development, positioning itself as a leader in tech-driven biopharma. The ...

Recursion and Exscientia, two pioneers in artificial intelligence (AI)-based drug development, have completed a business combination that they vowed will enhance their ability to carry out drug ...

As a person with a chronic illness, I'm no stranger to bloodwork. I used to pore over my lab results, googling the various meanings, and trying not to panic when a test fell out of range. Function ...

Recursion's stock has been consistently rated as "Hold" by this analyst due to skepticism about its AI-driven drug discovery approach and its financial instability. The company's IPO raised over $500 ...

When Recursion launched in 2013, the fledgling biotech’s goal was to turn machine vision loose on images of cells, at scale, to better understand the biology of disease. Exscientia, founded the year ...

The business of using artificial intelligence to find new drugs is starting to consolidate. The AI-powered drug discovery firm Recursion Pharmaceuticals will buy rival Exscientia in an all-stock deal ...

Don't prioritize your tasks by what will take the most time—try choosing what will have the biggest impact. That's what the Most Important Task (MIT) method involves: rather than thinking of specific ...