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The AI model that is changing clinical trial design

Drug Target Review

Clinical trials are expensive, slow and often limited by outdated design constraints. They offer patient-specific outcome predictions, generated using machine learning models trained on real historical clinical data. Accelerating timelines and de-risking development decisions across the pipeline.”

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The rising impact of biomarkers in early clinical development

Drug Target Review

Advanced strategies and tools are being implemented to establish the safety and efficacy of new therapeutic modalities, with the development of new biomarkers becoming one of the most relevant approaches for enhancing the precision and utility of early-stage studies.

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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.

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How FSP Models Help Biotech Companies Augment Their Clinical Development Needs

PPD

Its ability to maneuver persistent drug development challenges, like patient recruitment, trial complexity and rising costs, will ultimately determine its success. This blog explores the value of functional service provider (FSP) models and how they help biotech companies augment their clinical development needs.

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Redefining Acceleration of the Drug Development Journey

PPD

As a result, biopharma and biotech companies working to bring their drug pipelines to the market require deep expertise from trusted partners to help deliver critical therapies for their patients. Accelerate your drug development and clinical trial goals and benefit from our 360° CDMO and CRO solutions and expertise.

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AI in drug discovery: faster, smarter, better

Drug Target Review

It involves a dynamic and often unpredictable process where every stage, from target identification to clinical trials, generates vast amounts of data. Additionally, AI-driven predictive modelling can shorten the preclinical phase by simulating biological responses, leading to more targeted and efficient clinical trials.

Drugs 90
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Viatris Announces Success in Second Pivotal Phase 3 Trial of MR-141 Targeting Presbyopia

The Pharma Data

The encouraging data builds on the foundation established by earlier studies and further strengthens the clinical case for MR-141 as a potential non-invasive, once-daily ophthalmic solution for millions affected by the age-related decline in near vision.

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