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Risk Based BudgetingAdoption of the concept of Risk-Based Budgeting could help maintain the trial budget or even save the whole clinical trial.
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Peer Exchange Teaser: eCOA and eConsent within Clinical TrialsGet ready for ACT's upcoming Peer Exchange about the electronic elements of a clinical trial.
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How NLP Surfaces Adverse Events and Safety Insights to Improve Drug Safety ProcessesUse cases show benefits of unlocking data to improve signal and adverse event detection.
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Integrated Multi-Omic Data: Powering Precision MedicineGenomics has long been a primary focus in precision medicine, but other areas of research are increasingly being used to help attain a more complete picture of how an individual’s complex biology impacts their health profile.
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Harnessing the Power of Scientific SurveillanceStatistical methods used via this technique in centralized monitoring.
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Considering Patient Burden in OncologyImplementing new strategies with the use of patient-reported outcomes.
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Virtual Medical Affairs Audits: A Viable AlternativeVirtual audits proving to be beneficial post-COVID despite continuing challenges.
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Facilitating Adoptive Cell Therapy Clinical TrialsEvolving technologies include modification of receptors on T cells to better target tumor microenvironments and minimize off-tumor cross-reactivity.
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Data Collection in Clinical Trials with Multiple CaregiversThe conundrum of missing data vs. inter-rater variability.
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Clinical Study Audits: The Quality Management ApproachAdvancing risk-based auditing one step further by identifying the underlying process deficiencies to enable improved corrective and preventive actions.
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Real-World Use of an Artificial Intelligence-Supported Solution for Coding of Adverse Events in Clinical TrialsStudy evaluates the use of AI-supported medical coding module.
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Bringing AI Out of the Shadows and into the Physical World of Drug DevelopmentWhile many groups rely on manual chemistry processes, innovative platforms have emerged that allow these protocols to be executed on custom automation systems.
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2025 DIA Annual Meeting: How AI and Machine Learning Can Improve Patient Reported Outcomes in Clinical TrialsBrian Ongioni, chief product officer, uMotif, discusses how AI and machine learning can enhance patient-reported outcomes by capturing meaningful feedback at scale and ensuring patient voices are reflected throughout the clinical trial lifecycle.
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Facilitating Adoptive Cell Therapy Clinical TrialsEvolving technologies include modification of receptors on T cells to better target tumor microenvironments and minimize off-tumor cross-reactivity.
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The Current Status of European Research Related to COVID-19: The EUCROF PerspectiveSuccessful collaborations between Pharma/Biotech/Device industries and CROs will play a key role in an effective fight against the global COVID-19 pandemic.
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Preparing for Pivotal: Solving Challenges in Scale for Cell and Gene Therapy Clinical TrialsTuesday, June 22, 2021 at 11am EDT| 8am PDT| 4pm BST| 5pm CEST
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Behind the Buzz: Why Clinical Research Leaders Flock to SCOPE SummitIn this episode, we meet with Micah Lieberman, Executive Conference Director for SCOPE Summit (Summit for Clinical Ops Executives) at Cambridge Innovation Institute. We will dive deep into the critical role of collaboration within the clinical research ecosystem. How do we bring together diverse stakeholders—sponsors, CROs, clinical trial tech innovators, suppliers, patients, sites, advocacy organizations, investors, and non-profits—to share best practices in trial design, program planning, innovation, and clinical operations? We’ll explore why it’s vital for thought leaders to step beyond their own organizations and learn from others, exchanging ideas that drive advancements in clinical research. Additionally, we’ll discuss the pivotal role of scientific conferences like SCOPE Summit in fostering these essential connections and collaborations, helping shape the future of clinical trials. Join us as we uncover how collective wisdom and cross-industry partnerships are transforming the landscape of clinical research.
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Sticking to the Plan: Undue Burden Created by Protocol DeviationsMinimizing protocol deviations is a simple, yet effective way for sites to keep trials patient-centric.
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Employing the Power of Bayesian Methods to Expedite LearningBayesian methods bring flexibility and speed to clinical trial design and analysis, and with increased access to the necessary computational power, are transforming today’s clinical research.
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A Market Failure for Antimicrobial Resistant MedicinesWhile the world focuses on COVID-19, this article provides insight on the current state of the market for antimicrobial resistant (AMR) medicines.
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AI Adoption for Clinical Trial Design, PlanningAn overview of the advantages of implementing AI into clinical development and the obstacles that prevent its widespread adoption.
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Clinical Trial Monitoring: Should Randomization Be Included?While randomization is required by regulatory bodies, it is up to the sponsor on how to conduct it.
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COVID-19 Will Have a Heterogeneous Impact on Clinical Trials, BiopharmasA discussion of how the coronavirus pandemic will have a multitude of impacts on the conduct of trials, as well as on the industry itself.
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The EU Regulations Catching US Pharma Companies Off GuardCompanies that understand the regulatory environment in Europe can keep their trials on budget and on schedule.
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Towards a Global Implementation of eConsent in Clinical TrialsAll stakeholders must play part in increasing implementation.
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Diversity and Inclusion in Clinical Trials: Tangible Progress and Strategies for the FutureThe clinical research industry is increasingly leveraging insights, experience, and advanced solutions to better implement diversity and inclusion initiatives.
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AI Already Starting to Deliver Faster, Safer, More Effective Clinical TrialsFrom design and trial start-up to conduct and analysis, there is enormous potential for applications of artificial intelligence within clinical trials to have a profound impact on human health.
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Accelerated Approval and the Promise of Gene TherapyExploring the implications of FDA’s renewed focus and commitment to expand the use of accelerated approval for gene therapy products.
