Cortical Labs, a biotech company focused on synthetic intelligence, has revealed the CL1, the world’s first commercial biological computer. The system uses living human neurones grown ...
Opinion: CT needs regulations reflecting economic, biological reality of 2026, not fears of the past
Connecticut’s legal market is artificially constrained by a limitation that neither improves safety nor reflects how cannabis ...
The Print on MSN
How Lucknow’s DNA lab is decoding Indian cheetah’s genetic history from 200-yr-old samples
For the first time in the world, BSIP and ZSI are attempting to sequence the whole nuclear genome of this extinct Indian big ...
Biological relationships are the foundation of every family, but sometimes primary documents are not enough to prove these ...
Futurism on MSN
Researchers Get Human Brain Cells Running Doom
"If the neurons fire in a specific pattern, the Doom guy shoots." The post Researchers Get Human Brain Cells Running Doom ...
Lemnisca is building a digital twin platform for bioprocessing by simulating experiment outcomes to help biotech manufacturers find the optimal approach.
Celebrate National Science Day by exploring the fascinating biological secrets hidden in your morning rituals.
The founder and director of the IVF Center in Winter Park, Dr. Mark Trolice, joins WESH 2 to discuss a Seminole County fertility clinic's in vitro fertilization error ...
Researchers at Australian start-up Cortical Labs have taught human neurons grown on a chip to play the classic Doom game. In 2021, they had already used 800,000 neurons to play Pong. Now, with four ...
VivoSim Labs, Inc.: VivoSim Appoints Arumugham (Ragoo) Raghunathan as Vice President of Global Sales
VivoSim Labs, Inc. (Nasdaq: VIVS) (the "Company" or "VivoSim"), a provider of next-generation New Approach Methodologies (NAMs) for preclinical safety, today ...
Explore SLAS Boston 2026 insights on connecting laboratory automation and data infrastructure in drug discovery workflows.
Overview Artificial intelligence seems to be transforming drug discovery in 2026, enabling faster molecule design, smarter clinical trials, and reduced R&D ...
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