Life sciences and biotech The 2026 storage survey: strategies for AI and data-intensive research Scientific Computing World and Seagate are inviting research computing professionals to share how they're preparing storage infrastructure for the demands of AI and data-intensive science. Contribute to the 2026 Storage Survey and help benchmark the future of research data management. Latest Content Quantum computing project explores why chimpanzees wage war while bonobos live in peace The path to AI federated learning for drug discovery How federated learning is transforming drug discovery New technologies Solution Accelerators for biotech research Merz consolidates its R&D with a Life Sciences platform White papers The path to AI federated learning for drug discovery Whether you're working in pharmaceutical R&D, biotechnology, AI development or scientific data management, this White Paper offers valuable perspectives on where federated learning is today Centralising analytical data from mass spectrometry in drug discovery and development Discover how experts from Zoetis, Bayer, LifeMine Therapeutics, Iterion, Targenomix, and the Pistoia Alliance are solving key data challenges for mass spectrometry applications. Standardization of Analytical Data: Best Practices Standardization is critical to extracting the full potential of data. This White Paper offers a comprehensive guide to overcoming challenges and driving progress in analytical chemistry and beyond. Webcasts On Demand Webinar: Consolidating computing resources can democratise research infrastructure More content Deep learning cell segmentation algorithm incorporated into Aivia 11 update Perkin Elmer shifts to life science diagnostics Expectation of sophistication Computational scientists boost the skin’s natural defences Biology software accelerates antibody research and therapies Advancing the use of emerging computing infrastructure in Life Sciences Partnership aims to use AI to Identify novel cMET inhibitors for lung cancer Making sense of genomic data Google aiming to unpick protein ‘dark matter’ with AI Charles River Laboratories licenses Genedata Biologics Four bioscience predictions for 2022 Connecting biotech R&D teams for greater innovation, collaboration, and speed Pagination Previous page ‹ Previous Page 18 Next page Next ›
