Life sciences and biotech AI, cloud and IoT driving digital lab transformation as informatics market to hit $8.7bn by 2029 The global laboratory informatics market is experiencing a period of growth due to the acceleration of digital transformation and AI, as well as the rising use of data management tools in new markets Latest Content Life science professionals say agentic AI will have greatest impact in next 2-3 years Phasecraft develops algorithm to improve quantum simulation efficiency Researchers use HiFi sequencing to distinguish highly similar paralogous genes New technologies Solution Accelerators for biotech research Merz consolidates its R&D with a Life Sciences platform White papers 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. Advancing the use of emerging computing infrastructure in Life Sciences RCH Solutions supports the adoption of novel computing technologies such as cloud, quantum, AI and edge computing paradigms through a co Boosting productivity of monoclonal antibody development using Chromeleon CDS: A collaboration to move biopharma forward Using the right tools is of paramount importance in the effort to advance tomorrow’s therapies. Webcasts On Demand Webinar: Consolidating computing resources can democratise research infrastructure More content NCSA project expands toolbox to better understand cancer evolution 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 Pagination Previous page ‹ Previous Page 11 Next page Next ›