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Webinar
Most recently both the EU and the US announced new legislation aiming to regulate the development and use of Artificial Intelligence: the EU AI Act and the President Biden Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence. Our panel of experts will discuss how these legal changes may affect research and development in drug discovery.
“Advancing Research: Reducing Animal Models in Experiments” addresses the pressing need to reduce reliance on animal models in scientific research, particularly in light of the FDA Modernization Act 2.0. The event encompasses an overview of the current research environment, exploring innovative alternatives such as virtual control groups, organ-on-a-chip technology, and in-vitro methods.
Liquid biopsies can be used to detect early cancer recurrence, explore therapeutic resistance, and personalize treatment. In this seminar, we will explore three different perspectives to delve into the potential of ctDNA and rare cells in the context of an ever-increasing drive to personalize medicine.
The aim of this study was to make unstructured neuropathological data, located in the NeuroBioBank (NBB), follow FAIR (Findability, Accessibility, Interoperability, and Reusability) principles, and investigate the potential of Large Language Models (LLMs) in wrangling unstructured neuropathological reports.
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.
