
Metrics & Benchmarks
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What It Actually Means to Embed AI Across the Clinical Operating Model

Building Trust Into Oncology Real-World Evidence: Q&A with Saamir Pasha and Carole Berini, Ontada

ACT Brief: Who Sets Trial Endpoints, Human-Centered Trial Execution, and Bladder Cancer Approval Expansion

Endpoints That Reflect What Patients Actually Value: Who Decides What Counts as Trial Success

The Human Side of Clinical Trials: Why Fuzzy Mental Models Undermine Clinical Trial Execution

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In today’s ACT Brief, we examine what it will take to scale EHR-to-EDC connections for real-time trials, how the FDA is reimagining rare disease drug development, and why oncology real-world evidence still faces persistent data barriers.

A new white paper and public engagement process outline the FDA’s commitment to building fit-for-purpose evidentiary standards, stronger patient voice integration, and greater regulatory predictability across rare disease drug development and review.

Real-time clinical trials require standardized digital data capture at the point of care through scaled eSource-EDC-EHR integration, but progress stalls because competing standards lack regulatory enforcement and one-off system integrations cannot scale beyond single studies without industry-wide alignment and legal clarity on data ownership.

In today's ACT Brief, we examine how representation gaps in trials are shaped by structural design decisions, how new partnerships automate data transfer from site systems to sponsor platforms, and how Roche is licensing a novel obesity target from a biotech pioneer.

IgniteData and RealTime Partner to Streamline Clinical Data Transfer From eSource to Sponsor Systems
The partnership gives RealTime's network of more than 3,000 research sites access to the Archer platform for direct, automated data transfer from eSource to any sponsor electronic data capture system or data destination.

In this video interview, Saamir Pasha and Carole Berini, PhD, of Ontada, identify three persistent obstacles to consistent real-world evidence generation in oncology—inconsistent data capture, structural data limitations that modeling alone can't fix, and the need for earned generalizability through deliberate multi-site validation.

How a phased CRO partnership built on ICH E6(R2) and E6(R3) principles supported a multi-indication biotech portfolio.

The second of a two-part perspective examining why clinical trial enrollment and representation outcomes are shaped long before the first patient is screened.

In this video interview, Saamir Pasha and Carole Berini, PhD, of Ontada, describe what operationalizing regulatory-grade quality frameworks requires—and why fit-for-purpose evidence generation is a transparency and documentation discipline, not just a data cleanliness exercise.

AI can turn complex protocols into first-pass budget inputs, letting sponsors start budgeting sooner while budget builders shift from data entry to review.

Trialbee CEO Matt Walz explores the current impact of AI in delivering practical gains in clinical development and reflects on its future potential, where enrollment predictability may be the biggest prize of all.

In this video interview, Carole Berini, PhD, of Ontada, explains how validated proxies for variables like ECOG performance status can recover not just sample size but the representativeness of hard-to-reach patient populations in real-world oncology studies.

A biomarker test now decides who enters a precision medicine trial, yet results often go unused and assays are not ready when screening opens.

In today's ACT Brief, we examine proportionate analysis frequency in RBQM, how to build trust into real-world evidence foundations for cancer trials, and how rare disease developers monetize regulatory success.

Real-time RBQM requires proportionate analysis frequency matched to data arrival and issue criticality, not continuous reanalysis, because signal churn from over-frequent runs creates alert fatigue and operational noise that obscures meaningful deterioration.























