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Insights into Therapeutic Areas in Clinical Research

Quanticate

Advancements in preclinical and clinical research are driving major changes across various therapeutic areas, steering the industry into a new phase of medical innovation. Our aim is to provide valuable insights for industry professionals, stakeholders, and all those invested in the future of medical science.

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Beyond blood tests: The evolution of digital biomarkers in clinical research

Drug Discovery World

Digital biomarkers promise to transform preventive medicine and clinical trials, but also raise issues of security, regulation and potential disparities in access. Deepika Khedekar, Clinical Trial Lead at IQVIA, provides an overview of the pros and cons, and suggests a possible solution.

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How to Fast-Track Clinical Research Timelines

PPD

Acceleration in every step of clinical research is critical to pharmaceutical developers. Yet, today’s clinical research sponsors face significant challenges. These delays financially disrupt the potential of both current and future clinical research. With a median delay of 12.2

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Understanding the Impact of the New EU Artificial Intelligence Act on Clinical Research

Advarra

The EU AI Act’s implications extend into clinical research, where AI is increasingly utilized for tasks like medical image analysis, natural language process for endpoint analysis, and generating/analyzing data for synthetic control arms. Here are some key requirements for “high risk” AI systems as they relate to clinical trials.

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From data to cure: The journey of AI in cancer trials

Drug Discovery World

Deepika Khedekar , Associate Centralized Clinical Trial Lead at IQVIA Inc, looks at the challenges of utilising artificial intelligence (AI) in oncology clinical research. MIT research 4 tells us a hard truth: about 95% of these trials fall short, leaving behind a trail of broken hopes for cancer patients each year.

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Emerging Trends in Clinical Trial Design

PPD

The COVID-19 pandemic rapidly accelerated the adoption of hybrid and decentralized clinical trial (DCT) models. At the end of 2022, the PPD clinical research business of Thermo Fisher Scientific surveyed key leadership and staff on the frontline of clinical trial execution across the industry.

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Predictive Analytics in Clinical Trials

Vial

The fields of artificial intelligence (AI) and machine learning (ML) are increasingly influencing clinical research and development (R&D). Contract research organizations (CROs) and pharmaceutical companies can leverage these cutting-edge technologies to streamline clinical trials and introduce automation in drug discovery.