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Recognizing the Real People Behind the Big Data and Artificial Intelligence in Clinical Research

ACRP blog

If you hadn’t already noticed, the clinical research enterprise has well and truly entered the era of “big data,” artificial intelligence (AI), and machine learning. Undoubtedly, the expectations for precision medicine are high,” Olsen adds.

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AI, big data and deep real-world evidence – the challenges and opportunities

pharmaphorum

This pharmaphorum webinar, held in association with Savana, will take place on Thursday 22 April from 16:00-17:00 BST / 17:00-18:00 CET / 10:00-11:00 EST and hear from presenters at BREATHE – the health data research hub for respiratory health, Salford Royal NHS Foundation Trust and Savana.

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August 16, 2023: In This Friday’s PCT Grand Rounds, the Draft Revision of the ICH Good Clinical Practice Guideline

Rethinking Clinical Trials

Landry is a professor of medicine and epidemiology at Oxford Population Health and deputy director of the University of Oxford’s Big Data Institute. ElZarrad is the director of the Office of Medical Policy in the FDA’s Center for Drug Evaluation and Research. Join the online meeting.

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Technology Trends and Collaborations are Ushering in a New Era of ‘Pharmaceutical Intelligence’

ACRP blog

Through these collaborations, advanced technologies tied to AI and big data are being employed to develop personalized and targeted medicines, ultimately leading to more effective treatments for diseases like cancer and immune deficiencies,” Lyons notes.

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EMA pilot will see if clinical trial data should be digested ‘raw’

pharmaphorum

Currently, the EMA’s human medicines committee (CHMP) carries out its assessment of new medicines or post-marketing label extensions using data from clinical summaries and information reported in clinical study reports (CSRs).

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Synthetic control arms in clinical trials: Making it happen

pharmaphorum

Attendees will learn more about how an SCA was used at the design and execution phases in a recent study of new treatments for relapsed or refractory diffuse large B-cell lymphoma (R/R DLBCL) and will also receive an eBook ‘How to harness the potential of AI and real-world data for clinical research’. About the panel.

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Drug discovery in 2023: Five key predictions

Drug Discovery World

According to a survey of 150 biotech and biopharma leaders by clinical research company PPD , leveraging new technologies (including mRNA and drug discovery platforms) is one of the greatest opportunity areas in clinical trials for 2023. . Personalised and precision medicines will dominate pipelines.

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