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Biomedical AI

15 summarised stories about Biomedical AI, each linking back to the original source. Browse all topics →

Thursday, 16 July 2026

Our approach to bioresilience

Google DeepMind 7 hours ago

Google DeepMind and Isomorphic Labs announced a joint bioresilience program to prevent misuse of AI models in biological contexts while enabling their use for disease prevention and response. Over the past 12 months, the organizations advanced more than 15 partnerships with government bodies and biosecurity groups to implement safeguards across prevention, detection, and response activities. The program makes AI systems like AlphaFold and the IsoDDE drug design engine available to trusted partners to accelerate vaccine design, improve pathogen surveillance, and help detect outbreaks faster than traditional methods.

Introducing TRIBE v2: A Predictive Foundation Model Trained to Understand How the Human Brain Processes Complex Stimuli

Meta AI Blog

TRIBE v2 is an AI model trained to predict how the human brain responds to visual, auditory, and language stimuli by learning from fMRI scans of over 700 volunteers. The model was trained on more than 700 healthy volunteers presented with diverse media including images, podcasts, videos, and text, and can make predictions for new subjects, languages, and tasks without additional brain imaging data. Researchers can now test hypotheses about brain function computationally, reducing the need for human subjects in experimental studies and potentially accelerating neuroscience discovery.

From Brain Waves to Words: Brain2Qwerty Offers a New Path to Communication Without Surgery

Meta AI Blog

Brain2Qwerty v2 decodes sentences from non-invasive brain recordings using AI trained on neural signals, without requiring surgical implants. The system achieved 61% word accuracy across nine participants wearing MEG devices while typing, with the best participant reaching 78% accuracy. The researchers released full training code and datasets to enable broader development of non-invasive brain-computer interfaces for people with communication disorders.