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Webinar
The Pistoia Alliance is a global, not-for-profit members’ organization working to lower barriers to innovation in life science and healthcare R&D. Founded over a decade ago the alliance brings together more than 200 member companies from life science companies, technology and service providers, publishers, and academic groups to transform R&D through pre-competitive collaboration.
What is ethics in Artificial Intelligence? What exactly should an AI practitioner do to ensure alignment with ethical use of technology? What are perspectives on ethics in AI from different business stakeholders in the pharmaceutical industry, from early stage R&D to clinical trials? Our panelists will discuss these and other questions in this engaging webinar.
While Quantum Computing is still in its developmental stages, the promise it holds for revolutionizing pharma is immense. Join the Pistoia Alliance for the first webinar in a 3-part series on Quantum Computing in the Pharmaceutical Industry.
An initial proof of concept on site feasability
Pistoia Alliance calls on its members to express their interest in a new project called ‘Regulatoria’. Its scope starts with drug stability data.
Join us for this update on the newly formed Strategic Priorities of the Pistoia Alliance, followed by a 30 minutes Q&A with our panelists
The goal of our project is to build an IDMP Ontology that enables deep, semantic interoperability based on FAIR principles to enhance and augment the existing ISO IDMP standards.
Paving the Way to the FAIR Submission of In Vitro Pharmacololgy Results to Regulatory Bodies
Join us for an enlightening webinar where we delve into the profound influence leaders have on the mental well-being and performance of their team members through their management approaches.
In this dynamic session, we will explore the transformative power of in vitro assays and in silico predictive analysis, replacing traditional animal models with ethical, efficient, and scientifically advanced alternatives
This event will provide insight on how copyrighted materials are retained and reused in AI systems, including large language models
This presentation will introduce some of the approaches SciBite is taking to enhance and leverage knowledge graphs in the context of AI
