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Webinar
The Pistoia Alliance is pleased to announce a series of three webinars hosted by Accenture Boston Innovation Hub. As part of our overall theme of Improving the Efficiency and Effectiveness of R&D, each webinar will explore the power of collaboration to solve shared challenges, drive transformation and reduce barriers to innovation in R&D.
The Lab is the center of innovation but the role and nature of the Lab has changed. These changes are being driven by advances in life science research, technology, and latterly, COVID-19. What are the latest developments in the workspace, facilities planning, and technology? What new innovations including collaborative digitalization can we expect to see in the Lab of Future?
This webinar co-hosted by The Pistoia Alliance and CAS engages a panel of experts to highlight how scientists and research organizations can reduce the risk of adverse chemical safety events in their labs using the Chemical Safety Library
This webinar provides information about the Pistoia Alliance 2022 D&I in STEM Leadership initiative.
Our speakers, Navdeep Gill (H2O.ai) and Chas Nelson (gliff.ai) present a perspective on trustworthy and responsible AI. They discuss various components that contribute to responsible AI and the new ANSI standard “ANSI/CTA 2090 Use of Artificial Intelligence in Health Care: Trustworthiness" and the ways to implement trustworthy and responsible AI in practice covering the whole AI lifecycle.
The Pistoia Alliance has a global mission to “lower barriers to innovation in life science R&D & healthcare.” In another in our series of Japan Outreach webinars we provide some specific examples of where its pre-competitive collaboration model of shared-risk and shared-reward can bring value.
This webinar will demonstrate how ontologies are essential to understanding the incoming data deluge for an enterprise & how they help retrieve the most relevant data for R&D efforts.
This session will explore the Pistoia Alliance’s new IDMP Ontology project and its potential global implementation approach.
Today, the hype that surrounded artificial intelligence in the previous years is largely gone, and the industry practitioners are looking for solid use cases and proof of value. Prashant Natarajan, VP of H2O.ai, and Dr. Peter Henstock, ML&AI Technical Lead Technical Lead, Pfizer, will discuss the methods for valuation of artificial intelligence investments in the pharmaceutical industry.
AutoDesigner, a De Novo Design Algorithm for Rapidly Exploring Large Chemical Space for Lead Optimization: Application to the Design and Synthesis of D-Amino Acid Oxidase Inhibitors
We have assembled a panel of experts from Scibite, Pfizer, GSK and Astrazeneca to discuss why it’s valuable to leverage the interplay of ontologies and FAIR, and what a difference it can make in R&D decision making.
This webinar covers laboratory automation and robotics and the benefits they offer in terms of quality and speed of data generation synergized with AI/ ML-powered drug discovery approaches.