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Webinar
To harness the full potential of cutting-edge technologies, it is imperative to have your house, or more specifically, your data, in order. Here, we discuss the importance of foundational data management and the role of FAIR in enabling organisations, specifically within the life sciences, are agile enough to adapt to, and make use of, state-of-the-art technologies.
The collaborative Pistoia Alliance initiative is providing an opportunity for members from different companies for building a model in standardising the evaluation of carbon footprint. The rationale and objectives of this project will be detailed during the webinar
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.
During this webinar we explore emerging technologies that hold the potential to accelerate experimentation in life science and biopharma R&D.
Achieving data interoperability is fundamental for successful FAIR data initiatives, and the utilisation of ontology and terminology standards plays a crucial role in this endeavor. In this webinar, we delve into the landscape of ontology mapping, exploring existing mapping sets and innovative approaches to generating and maintaining ontology mappings.
During this webinar we will demonstrate how using a common, machine-readable data format will enable a digital transfer of analytical High Performance Liquid Chromatography (HPLC) instructions between chromatography data systems (CDS).
In this talk, we will discuss the state of digitalisation in in vivo research, explain why this phase of drug discovery is called the “final frontier”, and will examine actual requests from pharmaceutical and biotech companies when tasked with bringing new software into their existing technology stack to meet modernisation initiatives.
In this webinar, will be teaching the inner workings of Kazu, and how you can use and configure it for your own use cases.
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
This webinar aims to explore the application of large language models in life science R&D from different perspectives, providing attendees with a comprehensive understanding of the topic and its potential implications for the industry.
In this talk, we will discuss the opportunities large language models and other medical foundation models offer in terms of providing a better paradigm of doing “AI in healthcare.”
The Swiss Personalized Health Network (SPHN) has created a national framework for standardizing the semantic representation of health data, in alignment with the FAIR principles.
