data


With the rise of AI & ML within Life Sciences & Health, it’s become obvious that a key blocker to success is not the maturity of the AI tools and techniques but access to data in sufficient volume and quality for the AI & ML methods to analyse. In this blog we discuss some of […]

Data Sharing challenges and AI



  Our recent Pistoia Alliance blog post is available AI and machine learning (AI/ML) are certainly at peak hype at the moment around the current and future impact on Life Sciences and Healthcare. With a wealth of companies, large or small, offering new ways to interrogate existing data and build decision workflows supporting Life Science. But is […]

If Data is the currency of AI, are we doing ...



When it comes to blockchain technology in R&D, clearly: “It’s All About The Data Sharing”! This is the main conclusion that has come out from a Pistoia Alliance assessment of blockchain applications in life sciences R&D managed by Richard Shute of Curlew Research for The Alliance. Over 75 scientists and developers from Big Pharma, informatics software […]

“It’s All About The Data Sharing!” Pistoia Alliance’s “Blockchain in ...



Image from https://www.davidwolfe.com/medical-journal-studies-fake/ In a new article published on February 7 by Bio-IT World on potential use-cases and applications of blockchain, Richard Shute, Curlew Research Consultant, looks at how distributed ledger technology could be used to reduce the scourge of scientific data falsification.  In this extract Richard gives some background to the issue and hints at how […]

Scientific Data Doctoring: Could Blockchain Technology Help Stamp It Out?



There is no doubt that the interest and hype around blockchain, or distributed ledger technology (DLT), builds daily. The explosion of articles and books recently is testament to this. But what is a blockchain and how might distributed ledger technology impact healthcare, Pharma and R&D? In a new article on pages 52-57 of the Fall […]

Blockchain Technology in Drug Discovery: Use Cases in R&D.