{
  "id": 3520526,
  "title": "Centrix and University of Sussex Collaborate to Drive Data-Driven Pharma Development",
  "url": "https://urgent.news/2026/08/26/centrix-and-university-of-sussex-collaborate-to-drive-data-driven",
  "topic": "health",
  "section": "Health & Medicine",
  "published": "2026-08-26T13:58:24.000Z",
  "source": {
    "name": "GEN Biotechnology",
    "slug": "gen-biotechnology",
    "url": "https://www.genengnews.com/topics/drug-discovery/centrix-and-university-of-sussex-collaborate-to-drive-data-driven-pharma-development/"
  },
  "original_language": "en",
  "account": "Centrix Pharma Solutions, a United Kingdom-based contract development and manufacturing organization (CDMO), has announced a collaboration with the University of Sussex on a new Knowledge Transfer Partnership (KTP). This initiative aims to harness advanced data analytics and predictive modeling to revolutionize pharmaceutical product development by facilitating more informed, data-driven decision-making.\n\nBacked by the government's Innovate UK, this project, valued at £375,000 ($510,000), includes £250,000 ($340,000) in grant funding from Innovate UK. It merges Centrix's pharmaceutical development expertise with the University of Sussex's prowess in data science to develop more dependable approaches to product development. As pharmaceutical development increasingly yields voluminous formulation, analytical, and process data across product development, this data often remains scattered and inaccessible, hindering its utility in identifying trends, forecasting outcomes, and guiding future development strategies.\n\nCentrix Pharma Solutions intends to utilize this KTP to develop new capabilities for analyzing and interpreting these extensive datasets, initially concentrating on early-stage product development. The project seeks to create innovative data-driven tools and methodologies that can pinpoint development risks early, minimize redundant experimentation, bolster confidence in decision-making, and hasten the progression of promising medicines from development to clinical trials.\n\nAdditionally, the KTP will establish an in-house data science team by recruiting a dedicated KTP Associate, thereby bolstering Centrix Pharma Solutions' research and development capabilities and enhancing its service offerings for customers. Speaking on the project, Centrix Pharma Solutions' CEO, Chris Davison, highlighted the substantial volume of valuable data generated by the pharmaceutical industry throughout product development, yet the untapped potential to utilize this information more effectively. \"By combining our expertise in pharmaceutical development with advanced data analytics, we aim to make better-informed decisions throughout the development process,\" he stated.\n\nKate Thorpe, Head of Innovation and Business Partnerships at the University of Sussex, echoed this sentiment, emphasizing the project's dual focus on solving immediate challenges and establishing new, enduring working models. \"Our goal extends beyond resolving today's hurdles; we aspire to establish novel ways of working that continue to deliver value and innovation far beyond the project's conclusion,\" she remarked.\n\nThis KTP underscores the potential of collaboration between industry, academia, and government to spur innovation within the UK's life sciences sector, generate skilled employment opportunities, and expedite the delivery of new medicines to patients more efficiently.",
  "summary": "The KTP provides access to academic expertise while embedding that capability within Centrix’s business. This project represents an opportunity to apply advanced data science techniques to a real-world pharmaceutical development challenge. The post Centrix and University of Sussex Collaborate to Drive Data-Driven Pharma Development appeared first on GEN - Genetic Engineering and Biotechnology…",
  "key_points": [
    "Centrix Pharma Solutions partners with University of Sussex on £375K KTP",
    "Project aims to harness data analytics for pharmaceutical development",
    "Collaboration to create data-driven tools and bolster R&D capabilities"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}