Aridhia DRE - Trusted Research Environment

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Data challenges for international health emergencies lessons learned from ten international COVID-19 driver projects

International health emergencies expose health data infrastructure gaps. 10 COVID-19 driver projects reveal data challenges and lessons for future preparedness.

Advancing the utilization of real world data and real world evidence in clinical pharmacology and translational research

How RWD and RWE advance clinical pharmacology and translational research — guidance on data access, quality assessment, and governance for RWD programmes.

Paper an AI approach to generating MIDD assets across the drug development continuum

AI for generating MIDD assets across the drug development continuum. Model-informed drug development, PK/PD modelling, and AI-assisted regulatory submissions.

Moving Towards a Question-Centric Approach for Regulatory Decision-Making in the Context of Drug Assessment

Question-centric regulatory decision-making in drug assessment. Aligning evidence generation, submission strategy, and regulatory dialogue in drug development.

Opportunities for Systems Biology and Quantitative Systems Pharmacology to Address Knowledge Gaps for Drug Development in Pregnancy

Systems biology and QSP for drug development in pregnancy. Addressing pharmacokinetic, pharmacodynamic, and safety knowledge gaps in maternal medicine.

Digital Research Environment (DRE)-Enabled Artificial Intelligence (AI) to Facilitate Early Stage Drug Development

The Aridhia DRE enables AI across early-stage drug development: target identification, virtual screening, PKPD modelling, and candidate selection, securely.

The future of rare disease drug development

How RDCA-DAP is transforming rare disease drug development: Collaborative analytics, FAIR data, and secure research infrastructure powered by the Aridhia DRE.

Training the next generation of pharmacometric modelers a multisector perspective

harmacometric modeller training - a multisector perspective on the skills, tools, and frameworks shaping the next generation of pharmacometricians.

The precompetitive space for drug or vaccine development

How competing pharmaceutical organisations collaborate on shared drug development challenges without sacrificing competitive advantage.

tachykinin receptors in gtopdb v 2023 1

Tachykinin receptors in GtoPdb 2023.1 — NC-IUPHAR nomenclature, substance P, neurokinin A and B, and approved antagonists.

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