AI in clinical trials

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

pharmaphorum podcast Episode 261 - Kris Kaneta, Norstella

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

AI in clinical trials for protocol ingestion

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.

R&D

pharmaphorum podcast Episode 250, Rob DiCicco, Transcelerate

Making AI work where it matters, with Rob DiCicco

Rob DiCicco, vice president of portfolio management at Transcelerate Biopharma Inc, discusses barriers and the breakthroughs in making AI work.

The future of feasibility: AI-driven site selection & protoc...

Clinical trials fail in recruitment

Trustworthy and novel AI in clinical trial planning, with Kr...

From static documents to strategic capability: The case for ...

Fail fast is not a cultural problem. It is a capital allocat...

Making AI work where it matters, with Rob DiCicco

EMA advisors say CSL's Tavneos should be pulled from sale

Discover a new era of healthcare panel engagement: Grounded ...

AI in clinical trials

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