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Artificial Intelligence/Machine Learning

Latest News

October 24th 2024

From Isolation to Integration: Improving Site-Sponsor Collaboration in Clinical Trial Startup

By Christine Senn, PhD, FACRP

It takes a village to raise a trial, but most stakeholders are siloed on isolated islands.

Image credit: Tierney | stock.adobe.com

Mapping Baseline ChatGPT Usage to Support Drug Development

By Jennifer Y. Kim; Ruby Madison Ford; and Zhida Shang

Image credit: Kaikoro | stock.adobe.com

February 27th 2024

Artificial Intelligence Drives Industry Response to Project Optimus

By Sirj Goswami, PhD, and Jason Rizzo, MBA

November 15th 2023

Artificial Intelligence Has the Potential to Transform Clinical Trials, Study Says

By Don Tracy, Associate Editor

Latest Videos

Why Clinical Trial Innovations Take Years to Gain Adoption

Why Clinical Trial Innovations Take Years to Gain Adoption

Future-Proofing Trial Protocols to Avoid CRLs

Future-Proofing Trial Protocols to Avoid CRLs

What the Future Holds for Clinical Trials as AI and Digital Twins Become More Embedded

What the Future Holds for Clinical Trials as AI and Digital Twins Become More Embedded

Enhancing Clinical Trial Integrity Through AI and Digital Twin Technologies

Enhancing Clinical Trial Integrity Through AI and Digital Twin Technologies

Understanding FDA and EMA Guidance on AI and Digital Twin Applications in Trials

Understanding FDA and EMA Guidance on AI and Digital Twin Applications in Trials

The Power of Digital Twins in Predicting Outcomes for Clinical Trials

The Power of Digital Twins in Predicting Outcomes for Clinical Trials

Using Digital Twins to Improve Efficiency and Accuracy in Clinical Research

Using Digital Twins to Improve Efficiency and Accuracy in Clinical Research

AI Levels the Playing Field in Trial Recruitment

AI Levels the Playing Field in Trial Recruitment

How AI Can Ease Recruitment Burdens in Resource-Strained Trials

How AI Can Ease Recruitment Burdens in Resource-Strained Trials

2025 DIA Annual Meeting: How AI and Machine Learning Can Improve Patient Reported Outcomes in Clinical Trials

2025 DIA Annual Meeting: How AI and Machine Learning Can Improve Patient Reported Outcomes in Clinical Trials

More News

Trending on Applied Clinical Trials Online

FDA Pauses Real-Time Release of Drug Rejection Letters While Working to Formalize Policy

ACT Brief: Single Pivotal Trial Stakes, Configurable FSP Strategy, and G-CSF Biosimilar Portfolio Expansion

ACT Brief: FDA CRL Transparency Pause, Protocol-Centric Recruitment Model Shift, and Medical Affairs Integration in Development

Bringing the Voice of Clinical Practice and Patients into Drug Development

Tailoring Your FSP Approach: Why One Model Doesn’t Fit Every Trial