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Large Language Models in Life Sciences
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Scientific Poster
The objective of the Pistoia Alliance FAIR implementation Community of Experts (CoE) is to enable the implementation of FAIR data principles in the life sciences
Our community develops and delivers best practice guides, blogs, and toolkits to increase the adoption of user experience (UX) practices in life sciences.
A key strategic priority of the Pistoia Alliance, a non-profit organization fostering collaboration in life sciences and healthcare, is to Deliver Data Driven Value and ensure that project deliverables are aligned and interoperable. This poster outlines some of these initiatives: IDMP-O, CMC Process Ontology, Clinical Operations Ontology, and Pharma General Ontology
Building on its successful history of cross-industry training programs that have addressed both technical skills and soft skills, the Pistoia Alliance has launched new cross-industry training sessions within a precompetitive framework.
The Pistoia Alliance relaunched the Lab of the Future Community to support the growing need for the pharma industry to work together to deliver a clear vision, strategy, and roadmap to guide laboratory investments and accelerate the adoption of disruptive technologies.
Novel Alternative Methods (NAMs) refer to Non-animal methods, models and technologies used to answer complex questions about human health and disease. These include in chemico (biochemical), in vitro (cell-based) and in silico (computer-based) approaches.
This project aimed to establish best practices for data visualization, support life science research, and identify opportunities for communicating and implementing these best practices.
The goal of our community is to improve the understanding and interpretation of controlled substance and shipping legislation worldwide.
The Pistoia Alliance relaunched the Lab of the Future Community in Q1 2024 to support the growing need for the pharma industry to work together to deliver a clear vision, strategy, and roadmap to guide laboratory investments and accelerate the adoption of disruptive technologies.
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
Our community develops and delivers numerous best practice guides, blogs, and toolkits to increase the adoption of user experience (UX) practices in life sciences.
The FAIR Maturity Matrix is a descriptive (self-)assessment instrument for Leadership and Communities of FAIR data practitioners evolving in the life-sciences. It provides a frame for actionable conversations, aligning stakeholders towards shared FAIR implementation goals.