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The latest lab automation and artificial intelligence news from AZoNetwork |
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![[Free Webinar] Enabling High Throughput Data Processing in Life Sciences Lab Environments](https://www.azonetwork.com/newsletters/images/generic/advantech__639153836349731597_multisizecolor_0_custom.jpg) [Free Webinar] Enabling High Throughput Data Processing in Life Sciences Lab Environments
Laboratories require fast, efficient, and scalable systems to manage and analyze complex workloads without bottlenecks.
Instrument manufacturers looking for solutions that increase processing speed are leveraging high-performance computing systems with GPU components, which deliver up to 25x faster performance compared to CPU-only systems (Shanbhag et al., 2020).
Join us for an engaging and informative session where we dive into industrial-grade compute infrastructure designed to handle big data from bench to breakthrough.
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|  | | | | |  Bioinformatics accelerates discovery of marine-derived bioactive therapeutic peptides Marine organisms have evolved a remarkable arsenal of host-defense peptides under conditions of extreme variability and constant pathogen exposure. Generally defined as short chains of 2 to 20 amino acid residues, these molecules have become a focal point for biomedicine, food science, and materials science. | |  | | | | |  How an AI system learned to write expert-level scientific code ERA is an AI system that uses large language models and tree search to automatically write, test, and refine scientific software for measurable research tasks. Across bioinformatics, COVID-19 forecasting, time-series analysis, geospatial modeling, neuroscience, and numerical computation, ERA produced expert-level solutions that often surpassed established human-developed methods. | |
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|  | | |  A new review highlights how synthetic biology, AI, and spatial omics could transform ligand-receptor discovery from one-by-one searches into network-level mapping. | | | | |  A new review highlights how synthetic biology, AI, and spatial omics could transform ligand-receptor discovery from one-by-one searches into network-level mapping | | | | |  Scientists at the Icahn School of Medicine at Mount Sinai have created a new artificial intelligence (AI) model that helps reveal how genes function together inside human cells, offering a powerful new way to understand biology and disease. | |
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