October 30th 2024
The alliance’s president discusses the current state of data sharing, security concerns, and the adoption AI.
A Single Source of Truth for KOL Mapping
June 8th 2021Coordination of KOL engagement is all but impossible if the information an organization collects about them is fragmented. What is needed is a centralized database that captures all information about an expert from the multiple touch points across functions and geographies.
Developing a “Diversity Mindset” for Change in Pharma
June 4th 2021Developing a diversity mindset may begin at the top levels of the organization, but building diversity into the entire drug development life cycle ensures that it is an ongoing priority and a natural requirement of engaging with external stakeholders.
Blockchain, COVID-19 and the Pharmaceutical Supply Chain
May 12th 2021Hannah Schofield and Lavan Thasarathakumar discuss what blockchain is, how it could help improve pharmaceutical supply chains, and the COVID-19 vaccine supply chain in particular, and touches on where we are already seeing blockchain technology being used in this area.
Medical Affairs: Support Function or Competitive Advantage? How AI & NLP Can Ensure It is Both
April 28th 2021Treating medical affairs solely as a support function is penny-wise and pound foolish. With the advent of machine learning, the medical affairs team can innovate and perform their many functions better and more efficiently.
EMA Launches Data Standards Implementation Guide: The Time to Act is Now
February 22nd 2021The European Medicines Agency (EMA) has published a guide to implementing IDMP data standards that will be ”a game changer” for the life sciences sector. Remco Munnik, who has been working with the EU focus group creating the EU IDMP Implementation Guide version 2, provides the inside track on the implications for life sciences companies.
How A Self-Service Data Platform for Life Sciences Analytics Can Fast-Track Drug Readiness
December 9th 2020Owning a self-service data platform allows emerging pharma and biotech companies to accelerate past data engineering intricacies and focus on ad-hoc analytics to discern how their data can help them meet objectives for clinical operations, medical affairs, and commercial teams.