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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Clinical trials are expensive, slow and often limited by outdated design constraints.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. Digital twins offer a way forward. Unlearn is one of the few companies applying this approach at scale.

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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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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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The rising impact of biomarkers in early clinical development

Drug Target Review

A surrogate endpoint is a marker used in clinical trials as a substitute for a direct clinical outcome. Diagnostic biomarkers typically confirm or establish a diagnosis and are often used in selecting patient populations for clinical trials.

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Overcoming Orphan Drug Development Challenges with Real-World Data and Evidence

PPD

Breaking through research barriers Challenge #1: Small groups of patients Rare diseases impact a small number of individuals, making it difficult to recruit enough participants for clinical trials. Moreover, in some rare disease trials, it is unethical to design a control group of patients with a placebo.

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Future-proofing drug development with GenAI

Drug Target Review

It is becoming increasingly evident that generative artificial intelligence (GenAI) is a resourceful tool for helping pharmaceutical companies reduce manual tasks required by clinical trials. This has led drug developers to unintentionally limit their potential within chosen therapeutic spaces.

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How FSP Solutions Support Risk-Based Methodologies and Tech Innovation in Clinical Operations

PPD

In the past, these developers mostly used in-house resources for their clinical monitoring and site management capabilities, whereas today they often prefer functional service provider (FSP) or full-service outsourcing (FSO) models, or a hybrid of the two, to ensure on-time and on-budget delivery of clinical operations.