Artificial Intelligence/Machine Learning

In this Q&A from the 2025 Veeva R&D and Quality Summit, Ibrahim Kamstrup-Akkaoui, vice president of data systems innovation at Novo Nordisk, discusses simplifying system use through the company’s DataNow program and taking a measured, stepwise approach to applying AI and automation across the clinical development lifecycle.

In this Q&A from the 2025 Veeva R&D and Quality Summit, Ibrahim Kamstrup-Akkaoui, vice president of data systems innovation at Novo Nordisk, discusses simplifying system use through the company’s DataNow program and taking a measured, stepwise approach to applying AI and automation across the clinical development lifecycle.

In this video interview, Adrianne Rivard, senior community development manager at myTomorrows, explains how AI can reduce the time physicians spend pre-screening patients for clinical trial eligibility.

In this video interview, Adrianne Rivard, senior community development manager at myTomorrows, explains how AI can reduce the time physicians spend pre-screening patients for clinical trial eligibility.

In this video interview, Sunny Kumar, MD, partner at Informed Ventures, explains how organizational complexity, regulatory caution, and cultural risk aversion slow innovation in clinical trials, while tools like generative AI may help reduce operational barriers.

Strategic AI applications are helping life sciences teams overcome hidden bias, accelerate data discovery, and improve evidence integrity at the start of the pipeline.

Strategic AI applications are helping life sciences teams overcome hidden bias, accelerate data discovery, and improve evidence integrity at the start of the pipeline.

In this episode of the Applied Clinical Trials Brief, we spotlight a recent video interview in which Jon Walsh, founder and chief scientific officer of Unlearn.AI, shared how digital twins can improve trial efficiency, enhance patient-centric designs, align with regulatory expectations, and accelerate access to new therapies.

In this episode of the Applied Clinical Trials Brief, we spotlight a recent video interview in which Jon Walsh, founder and chief scientific officer of Unlearn.AI, shared how digital twins can improve trial efficiency, enhance patient-centric designs, align with regulatory expectations, and accelerate access to new therapies.

In this Q&A, Rohit Nambisan, CEO of Lokavant, and Jonathan Crowther, head of predictive analytics, Pfizer, explore how AI is transforming study feasibility, regulatory review, and trial execution.

Jon Walsh, founder, chief scientific officer, Unlearn, explains how AI and digital twins are helping clinical trials become more efficient, patient-centric, and capable of supporting innovative study designs over the next decade.

Jon Walsh, founder, chief scientific officer, Unlearn, explains how AI and digital twin technologies are being applied to improve data transparency, ensure reproducibility, and strengthen the reliability of clinical trial outcomes.

Jon Walsh, founder, chief scientific officer, Unlearn, explains how regulators are clarifying best practices for integrating AI and digital twins into clinical research.

In this episode of the Applied Clinical Trials Brief, we recap our three most-viewed stories of the previous week with a look into the FDA’s heightened scrutiny of trial design, the wind-down of federal mRNA vaccine programs, and how digital innovation is reshaping the clinical research landscape.

A unified technology approach improves study efficiency and data collection.

Jon Walsh, founder, chief scientific officer, Unlearn, explains how digital twins provide patient-level predictions that enhance trial precision, reduce enrollment needs, and support AI-driven drug development.

Jon Walsh, founder, chief scientific officer, Unlearn, explains how AI-designed therapies and digital twin technology are accelerating clinical trials, improving data precision, and reshaping early-phase drug development.

Despite ambitions to streamline regulatory review, FDA’s Elsa platform has been prone to hallucinations, prompting internal scrutiny and questions about AI reliability and governance.

A new global report finds that clinical research teams are making progress but still lack the skills and tools needed to keep pace with growing trial complexity and emerging technologies.

Why a fundamental reimagining of how clinical studies operate is still necessary to achieve a true paradigm shift—and shed the cycle of reliance on incremental gains.

Why a fundamental reimagining of how clinical studies operate is still necessary to achieve a true paradigm shift—and shed the cycle of reliance on incremental gains.

How the application of artificial intelligence, broader use of real-world evidence, decentralized clinical trials, master protocols, and risk-based quality monitoring, together with strong ethical oversight and increased collaboration, are contributing to better healthcare delivery and strengthening the role of clinical research in driving global health progress.

Why future-ready pharma companies must embrace AI-driven, real-time decision-making.