Researchers developed a new machine learning method that, given a relevant amino acid sequence, can automatically predict the location of a protein in any human cell line down to the single-cell level ...

In a study published in Nature Communications, researchers at the University of Wisconsin–Madison introduced a deep learning ...

In this interview, we catch up with Jue Wang from Google DeepMind to learn more about computational protein design.

Google DeepMind demonstrated robots that can adapt to new environments without retraining, respond to natural language ...

We've discussed the rapid rise of generative AI and chatbots in an older episode, but this time we're specifically looking at Agentic AI, a term you might have heard a lot in recent times.

Sequence annotation is the process of marking specific features in a DNA, RNA or protein sequence with descriptive ... Here the authors introduce a deep learning method (MisFit) to estimate ...

Get our top picks of the posters at AACR 2025 and learn more about the method behind them and the techniques used.

when analysed on its own or through AI algorithms, can reveal patterns and correlations that may not be visible to human analysts. This capacity for deep data analysis helps in understanding the ...

As pharmaceutical companies increasingly rely on artificial intelligence (AI) to optimise trial processes ... standardising deep-learning models and helping to alleviate concerns about the ...

May 13, 2025 — Researchers developed a new machine learning method that, given a relevant amino acid sequence, can automatically predict the location of a protein ... Genome of Near-Extinct ...

Gene doping may be used to boost athletic performance of humans or racehorses. Scientists are devising approaches to detect ...