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The latest lab automation and artificial intelligence news from AZoNetwork |
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 Automation in cell-based workflows
Industry expert Dongmin Choi explains the importance of automated imaging and colony picking. He dives into how they improve consistency, reproducibility, and data quality in cell-based workflows, enabling more efficient research and better long-term experimental insights.
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 Smarter molecular biology workflows start here
Since launching in March, Signals BioDesign has continued to evolve, helping molecular biologists streamline DNA cloning workflows. Join Revvity for an upcoming webinar exploring the platform’s latest updates and how they support faster, more efficient molecular biology research.
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| |  | | | | |  How AI and QSAR Modeling Accelerate Ligand-Based Drug Design Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and accelerating therapeutic development. | | | | | | |  AI-based generative framework create all-atom models of proteins in motion Many drug and antibody discovery pathways focus on intricately folded cell membrane proteins. When molecules of a drug candidate bind to these proteins, like a key going into a lock, they trigger chemical cascades that alter cellular behavior. | | | | | | |  Global collaboration can improve diagnosis and care for children with Kawasaki disease International collaboration in research, diagnosis and care is critical to reducing the risk of serious heart conditions for children with Kawasaki disease worldwide, according to a new science advisory published today in the Journal of the American Heart Association, an open access, peer-reviewed journal of the American Heart Association. | | | | | | |  Preclinical models map genetic changes behind multiple sclerosis nerve damage More than 1 million people across the United States live with multiple sclerosis (MS), a disease that affects the brain, optic nerves and spine. | |
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