TetraScience’s Post

For AI to be used to its full potential, pharmaceutical and life sciences companies need to prioritize their data management first, ensuring they are providing AI with clean, organized, data. Thomas Swalla, CEO of Dotmatics, discusses this further in his article "Opinion: To Realize AI’s Benefits, Don’t Lose Sight of Fundamentals" featured on BioSpace. https://lnkd.in/e78_zws6

💡 Just Released Whitepaper 💡 Avoid technical debt and review best practices in Scientific Data Management (#SDM) and how it is the foundation for leveraging #ML, #AI and #GenAI. 🖋 Written by John F. Conway, CVO of 20/15 Visioneers

Just remember it is science: you can’t really AI without ML and you really can’t ML without FAIR, and you can’t really FAIRify without semantic enablement using ontologies! Come learn more in our pre conference workshop at BioIT World 2024! https://lnkd.in/emCkeTxt

AI reshaping the landscape of regulatory operations in the life sciences industry. From vast datasets enabling robust public domain applications to the niche, proprietary data within life sciences, the journey is both challenging and promising. Yet, amidst the innovation, we cannot overlook the riskshallucinations, biases, and data control are critical considerations. #GenAI #LifeSciences

#Lifesciences companies can accelerate discoveries, gain insights, and optimize decisions with LifeSphere NavaX. Learn more about our next-generation cognitive computing engine here: https://lnkd.in/ee_vVzFB #researchanddevelopment #automation #AI #machinelearning

Biopharmaceutical companies are rapidly transforming their processes through #digitalization, #machinelearning, and #AI. Join us at the 5th Annual Digital Transformation and AI in Bioprocess conference at #CHIBioprocessingSummit to hear from our keynote speakers - Dr Christian Airiau, on Sanofi's global digital transformation program and vision for an AI-enabled process development organization; and Dr Bogdan Gabrys, professor of data science at University of Technology Sydney on current trends, challenges and opportunities in applying machine learning to antibody discovery, process development, manufacturing and formulation; plus insights from top experts at GSK, Merck, Genentech, AbbVie, Regeneron and more! #digitaltransformation #digitaltwins #modeling #simulation #processdevelopment #manufacturing https://lnkd.in/euuqsDxN

Empowering New Drug Modalities: Leverage Your Data Strategy for Faster Market Success! #RevvitySignals' Zev Wisotsky, Ph.D. shares how to create a data strategy that harnesses the power of #AI to bring new drug modalities to market: http://ms.spr.ly/6049m7bKF

Interesting read on the future of #AI and #BigPharma

Great read from colleagues at BRG on the future of AI in healthcare and life sciences. Three quarters of healthcare professionals believe that AI will be widespread in in the next three years. Investments in AI are expected to surpass $100B within five years. I shared my perspective on the advancement of generative AI and the responsibility of the healthcare industry in helping to shape AI-related guidelines alongside other thought leaders in the space. #bmsemployee #bmsdataanalytics #bmsdatascience #BRG Thomas F. O'Neil III thinkbrg.com/healthcareai

An interesting overview about IA in pharma. The vision is to use AI to move the industry from being reactive to proactive, to predictive, and eventually to prescriptive, so actions are right-first-time. Advice reading! #IA #pharma #vision #ISPE