The latest breakthroughs, funding and publications in organoid intelligence.
UC Santa Cruz Braingeneers gathered leading researchers and funders at Menlo Park to discuss combining AI with living brain tissue. The group has been selected to lead the NIH-wide BRAIN Initiative's AI-driven Brain Cell Data Explorer, with ambitions to run thousands of parallel organoid experiments.
The Drug Research Organoid Intelligence Development Platform (DROIDp) will use brain organoids, advanced electrical sensors and AI analytics to assess neural functions in drug and chemical testing. Part of a $150 million NIH initiative over five years.
A major review in Trends in Biotechnology outlines how AI and mathematical modelling are becoming indispensable for organoid research — from experimental design to predictive modelling and clinical translation.
The NIH SOM Center connects federal agencies, academic and industry partners to standardise organoid protocols using AI and machine learning — accelerating New Approach Methodologies (NAMs) for the broader scientific community.
A major feature examining the ethical landscape of organoid intelligence, including the FDA's move to promote organoids in drug safety testing and the NIH's $87 million commitment to standardise research methodologies.
Researchers will study neurons within engineered brain organoids to replicate how the brain processes dynamic information — combining neuroscience, bioengineering and computer science to create a proof of concept for energy-efficient biological AI.
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