AI From cancer data to treatment: Nancy Guo's precision medicine vision Binghamton University’s Nancy Guo discusses the use of AI to treat cancer patients earlier, leading to better patient outcomes Latest Content AI tools may be weakening the quality of published research AI-driven Laboratories: Navigating Challenges and Embracing the Future VSORA raises $46 million to bring AI inference chip to market New technologies Albert Invent Raises $7.5 Million to accelerate laboratory science using AI AI engineering assisstant released to cosnsumers Cloud partnership aimns to launch GenAI capabilities White papers AI-driven Laboratories: Navigating Challenges and Embracing the Future This White Paper from Thermo Fisher Scientific explores the integration of AI in laboratory environments, addressing persistent obstacles and outlining a clear path toward the laboratory of the future 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. Streamline laboratory operations with SaaS LIMS Reduce the burden of software management and empower scientists to focus on their research. Webcasts Energy-efficient infrastructure for HPC workloads - FREE live webinar More content Build energy-efficient HPC workloads with AWS and NVIDIA Amazon Bedrock adds Anthropic AI models Snowflake partners with Mistral AI to bring language models to enterprise Partnership aims to deliver an AI-driven synthetic chemistry platform for drug discovery The laboratory industry showcases cutting-edge innovations at Pittcon 2024 Energy-efficient infrastructure for HPC workloads - FREE live webinar Q-CTRL details partnerships that aim to make quantum computing more useful SYNTHIA SAS API: connecting retrosynthesis software with cheminformatics to expedite drug discovery How SaaS-based LIMS can unlock efficiency and accessibility Streamline laboratory operations with SaaS LIMS Only 9% of life sciences professionals understand AI regulations Interoperable Expert Systems—a Necessity for Digital Transformation Pagination Previous page ‹ Previous Page 16 Next page Next ›
