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Leveraging AI Solutions for Clinical Trial Efficiencies

PPD

As clinical trials become increasingly complex, particularly in decentralized trials and rare disease studies, sponsors experience increased challenges in site selection, forecasting and resourcing, and patient recruitment and enrollment. Discover how AI is used to optimize key aspects of clinical trial management. Get in touch.

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Managing CGT trials: the role of IRT from discovery to clinical development

Drug Target Review

The journey of cell and gene therapies from preclinical discovery to clinical trials is complex and challenging, impacting every team member involved, from researchers in the lab to patients receiving treatment. These digital platforms are designed to manage and automate critical trial processes, especially related to drug management.

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The Role of Big Data in Clinical Trials

Quanticate

Clinical research generates vast amounts of diverse data from laboratory tests, patients, medical equipment, and outside sources. By organising and analysing this information, researchers can extract actionable insights that improve patient outcomes, data accuracy, drug efficacy and speed up trials.

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Merck’s WINREVAIR Succeeds in Phase 3 Trial for Pulmonary Arterial Hypertension

The Pharma Data

Primary Endpoint and Clinical Results The HYPERION trial met its primary endpoint, demonstrating a statistically significant and clinically meaningful reduction in the risk of time to clinical worsening (TTCW). The STELLAR trial, presented at the American College of Cardiology’s 72nd Annual Scientific Session (ACC.23),

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Phase 3 Trial of Ifinatamab Deruxtecan Begins in Advanced Prostate Cancer

The Pharma Data

The IDeate-Prostate01 trial marks a significant advancement in the B7-H3 ADC development program and underscores the shared commitment of both companies to addressing difficult-to-treat cancers. Study Design and Objectives The Phase 3 IDeate-Prostate01 study is a randomized, multicenter, open-label clinical trial.

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Key Trends Drug Developers Need to Know to Succeed

PPD

From adapting to complex new trial designs to embracing cutting-edge technologies, staying ahead requires a deep understanding of the current landscape. Drug development The rising cost of clinical trials is the top challenge this year, due to increasingly complex protocol designs and difficult patient recruitment.

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The evolution of AI in drug discovery: learning from history’s mistakes (Part 2)

Drug Target Review

Promising areas for AI implementation When discussing the most transformative AI applications in drug discovery, Sujeegar identifies a particularly ambitious goal: developing AI models that can simulate human pharmacokinetics and pharmacodynamics (PK/PD) using only preliminary laboratory data.