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Webinar
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.
During this webinar we will share some of the key challenges and opportunities organizations face today, along with some examples of Pistoia Alliance member-driven initiatives to highlight the power of pre-competitive collaboration in advancing digitalization and automation on the path towards their Lab of the Future.
The aim of this community is to accelerate the adoption of quantum computing in the pharmaceutical industry. Our most recent community survey identified the lack of relevant use cases as the biggest barrier to adoption. This session will tackle this by looking at quantum use cases from leading organizations, and include a panel discussion to explore potential next steps for the industry.
At the Pistoia Alliance, we are exploring how the FAIRification of such data, along with advanced analytics including AL/ML/NLP powered systems can be used to access/share/reuse patient data from historical clinical trials.
The complexity of manual data curation makes it a costly – but necessary – process, and that is why it is so important to get it right. This webinar will explore the processes, best practices, and pitfalls of manual curation.
Join our expert panelists as they explain the reasons they came together to define a framework that would support teams in understanding UX skillsets.
Although artificial intelligence (AI) has had a profound impact on areas such as image recognition, comparable advances in drug discovery are rare. We will discuss the stages of drug discovery in which improvements in the time taken, success rate or affordability will have the most profound overall impact on bringing new drugs to market.
This webinar will present clinical data standardization and harmonization using the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM), standard vocabularies, and standardized analytics.
