R&D Drug discovery has a human biology problem The current opportunity lies in optimising existing discovery methodologies by generating more predictive, reproducible human data.
Digital The future of feasibility: AI-driven site selection & protoc... AI can help sponsors identify higher-potential sites, improve enrolment predictability, and accelerate study startup timelines.
Patients Clinical trials fail in recruitment Clinical trials struggle in many areas, and significantly in recruitment.
Digital Trustworthy and novel AI in clinical trial planning, with Kr... Norstella's Kris Kaneta discusses why patient-level data is pharma's most important asset, as well as expanding the efficacy of AI for clinical trials
Digital From static documents to strategic capability: The case for ... Protocol documentation will become protocol ingestion – an approach that’s automated, consistent, and intelligent.
Digital Fail fast is not a cultural problem. It is a capital allocat... Even modest improvements in early predictive resolution can materially shift portfolio economics.
News ESC26: Isomab safety evidence on blood vessel growth for CAD Isomab has presented landmark safety data at ESC, clearing the path for next-generation therapies to promote blood vessel growth in CAD.
Digital Sponsored Discover a new era of healthcare panel engagement: Grounded ... A new webinar from Konovo will address some of the critical topics impacting today’s healthcare market research industry.
