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Webinar
This is the first webinar in the Pistoia Alliance Data Governance Webinar Series. Brought to you in part by Osthus.
This webinar will provide an overview of the role of the microbiome with a specific focus on healthcare and will include real-life case studies covering oncology, and drug metabolism.
This webinar explores how the Mondo ontology bridges clinical and translational research, featuring insights from Chris Mungall and hosted by the Pistoia Alliance's FAIR Implementation Community of Interest.
This webinar looks at what the Lab of the Future will look like post Covid with a special emphasis on technology, virtualisation, facilities, and workspace planning.
This webinar presents the Cellosaurus, a manually curated knowledge resource which aims to describe all cell lines used in biomedical research. It provides information on immortalized, naturally immortal and finite life cell lines.
User research is grounded on a collaborative relationship with our end users - scientists, patients, healthcare providers, or other internal colleagues. But what about when you can’t physically be with research participants – be it because of cost, time, or global pandemic?
This webinar sponsored by the Pistoia Alliance and the Quantum Economic Development Consortium (QED-C) focuses on the emerging opportunities at the convergence of Quantum Computing (QC) and pharmaceutical R&D.
This webinar, supported by Thermo Fisher Scientific, outlines progress on the Pistoia Alliance Lab of the Future Projects and including updates on the Methods Database and the Universal Integration Layer.
This webinar will demonstrate how implementing FAIR principles can accelerate R&D workflows by making data more actionable, reusable, and shareable, ultimately enabling faster science and enhanced collaboration.
It seems that AI is also becoming a buzzword, like design thinking. Everyone is talking about AI or wants to have AI, and sees all the ideas and benefits - that’s fine, but how do you get started?
In this webinar, NVIDIA will present the concept of FL and discuss how it can help overcome some of the barriers seen in the development of AI-based solutions for pharma, genomics and healthcare.
Data for drug discovery and healthcare is often trapped in silos which hampers effective interpretation and reuse. To remedy this, such data needs to be linked both internally and to external sources to make a FAIR data landscape which can power semantic models and knowledge graphs.
