Find out how self-driving labs utilise data-driven approaches to enhance drug discovery efficiency and innovation.
DeepMind has shared the discovery of 2.2 million new crystals – equivalent to nearly 800 years’ worth of knowledge. They introduce Graph Networks for Materials Exploration (GNoME), a new deep learning ...
REDWOOD CITY, Calif., Nov. 14, 2024 (GLOBE NEWSWIRE) -- Codexis, Inc. (CDXS), a leading provider of enzymatic solutions for efficient and scalable therapeutics manufacturing, today announced data from ...
With over 150,000 new materials developed by the Materials Project computers, Berkeley Lab, headquartered in California, could not synthesize these novel materials quickly enough to evaluate them for ...
Any project, supported or not by a committee, that has not deposited records to the Records Office. Automated laboratories can streamline synthetic approaches and molecular discovery at unprecedented ...
Pharmaceutical R&D and quality control face increasing demands for speed, scalability, and regulatory compliance – yet many workflows remain manual, fragmented, and resource-intensive. In this webinar ...
Most people still picture science as a person in a white coat, pipette in hand. That image is stubbornly accurate. Even in 2025—after decades of lab robots, high‑throughput screening, and cloud ...
Explore how Labman's system has been indispensable in this cutting-edge automated laboratory in California. Image Credit: Labman With over 150,000 new materials developed by the Materials Project ...
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