TetraScience

Lead clone selection and stability studies are long and involved steps in cell line development. But Scientific AI is transforming these processes. The Tetra Lead Clone Selection Assistant, powered by NVIDIA's AI models and advanced analytics, helps scientists: ? Identify high-producing, stable "super clones" ? Shorten timelines from 8 months to just 2.5 months ? Reduce risks of delays and setbacks Watch to see how you can accelerate and improve bioprocess development: https://lnkd.in/gughq9By

Scientific data is among the most fragmented and complex datasets globally, making its engineering an immense but necessary challenge. At TetraScience, we are deeply committed to liberating and unifying this data for automation, analytics, and AI applications. How are we tackling this the Tetra way? ?? Replatforming first ?? Schema & taxonomy development ?? Ontology for actionable insights ?? A Tetra community approach We’re excited to lead the transformation of scientific data engineering. Curious to learn more? Dive into our latest blog post and discover how we’re setting the standard for scientific data engineering in biopharma. Read the blog: https://lnkd.in/e7n434CH

We’re proud to announce the launch of Chromatography Insights, the first universal chromatography dashboard designed for enterprise-scale analytics in life sciences. Chromatography Insights solves the data bottleneck in the $20 billion global chromatography industry. By unifying data across all CDS from different vendors, sites, and groups, Chromatography Insights produces deeper insights, faster drug development, and more proactive QC/QA. Chromatography Insights is available immediately as part of the Tetra Scientific Data and AI Cloud. Learn more: https://lnkd.in/ebjpaK9Z

We are honored to support emerging talent and share our journey with the next generation of innovators. Last week our CEO, Patrick Grady, and our CTO, Siping Wang, had the privilege of guest lecturing at Harvard Business School alongside Satish Tadikonda and William Marks. Together, they engaged with a brilliant group of MSc, PhD, and MBA students in the?Entrepreneurship in the Life Sciences?class, exploring the transformative opportunities of Scientific AI. At TetraScience, we believe that multidisciplinary collaboration drives innovation and inspires a brighter future. #HBS #TetraScience #ScientificAI

?? Thrilled to announce TetraScience's new collaboration with NVIDIA to accelerate scientific AI adoption across life sciences! We're tackling a $1.5T industry challenge: transforming siloed scientific data into AI-driven insights and scientific use cases that can transform drug discovery, development, manufacturing, and QC. By selectively pairing NVIDIA's domain-specific AI models and compute infrastructure with the Tetra Scientific Data and AI Cloud, Tetra is creating a “factory model” approach to producing targeted, high-impact scientific AI use cases at an industrial scale across the biopharma value chain. Our initial focus includes transformative applications like lead clone selection, where we've already demonstrated the potential to reduce traditional timeframes by 80%. Quality testing can be completed twice as fast using AI to reduce deviations and accelerate investigations. AI in quality assurance can shorten lead times and enable real-time product release. Read the full announcement: https://lnkd.in/eEjBRgFb #ScientificAI #LifeSciences #Innovation #NVIDIA #TetraScience #DrugDiscovery

NVIDIA Healthcare's latest post highlights how AI is transforming healthcare and the life sciences globally. TetraScience's Lead Clone Assistant, powered by NVIDIA's VISTA-2D and Geneformer models, demonstrates what's possible when you combine AI-native scientific data with powerful compute. Read more:?https://lnkd.in/eJ3riHPE

?? Thrilled to announce TetraScience's new collaboration with NVIDIA to accelerate scientific AI adoption across life sciences! We're tackling a $1.5T industry challenge: transforming siloed scientific data into AI-driven insights and scientific use cases that can transform drug discovery, development, manufacturing, and QC. By selectively pairing NVIDIA's domain-specific AI models and compute infrastructure with the Tetra Scientific Data and AI Cloud, Tetra is creating a “factory model” approach to producing targeted, high-impact scientific AI use cases at an industrial scale across the biopharma value chain. Our initial focus includes transformative applications like lead clone selection, where we've already demonstrated the potential to reduce traditional timeframes by 80%. Quality testing can be completed twice as fast using AI to reduce deviations and accelerate investigations. AI in quality assurance can shorten lead times and enable real-time product release. Read the full announcement: https://lnkd.in/eEjBRgFb #ScientificAI #LifeSciences #Innovation #NVIDIA #TetraScience #DrugDiscovery

We had a great time at Pharma Integrates 2024. Such a collection of smart people who care about where the industry is going. TetraScience's co-founder and CTO, Siping Wang, had a chance to be on a Next-Generation Digital Technology for Pharma R&D and Manufacturing panel. The group tackled some big questions: ?? ?Will R&D and manufacturing processes become more autonomous? Yes, but it depends on the data. ???How will digital and automation technologies work together? Nicely, if organizations can nail the change management part. ???Will patients see any differences in their medicines? Definitely, in quality, quantity, and efficacy. A huge thanks to facilitator Mark Buswell | NGT BioPharma Consultants and Spin's fellow panelists Elena Bonfiglioli | Microsoft, Melanie Juba | IDBS, Slawek Suchomski | Emerson, Ranjeeva Ranasinghe | GSK What would be your answers to the above questions? Let us know in the comments. #PharmaIntegrates2024 Life Science Integrates

Attending #PharmaIntegrates2024? Don’t miss our Co-Founder and CTO, Siping Wang, on the panel “Next Generation Digital Technology for Pharma R&D and Manufacturing,” hosted by Mark Buswell, today from 2:00–2:45 PM GMT. The discussion will delve into how emerging digital technologies are transforming pharma R&D and manufacturing, exploring questions like: ? Will R&D and manufacturing processes become more autonomous? ? How will digital and automation technologies come together? ? How might these innovations reshape patients’ experiences with their medicines? Let us know if you’ll be there—we’d love to connect!

Ready to take control of your chromatography data? Discover how to visualize data from tens of millions of injections at enterprise scale and ???????????? ?????????? ?????????????????? ???? ??????-????-???????? ??????????????.?https://lnkd.in/epMMg93f Join our Chromatography Insights Dashboard new product showcase and learn how top biopharmas are: ? Tracking impurity trends for batch continuity and release ? Managing tech transfers across multiple systems and sites ? Optimizing column performance to avoid failures ?? Date: November 13, 2024 ?? Time: 9am PT / 12pm ET Transform your chromatography data challenges into a competitive advantage. Secure your spot today! https://lnkd.in/epMMg93f Hosted by Anthony Edge, Rashi Takkar, Kevin McCormick, and Adam Franklin. #AIinBiopharma #Chromatography #DataAnalytics #LabEfficiency #Webinar