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Leveraging Genetic Testing for Enrolling Rare Disease Trials

Worldwide Clinical Trials

Written By: Derek Ansel, MS, CCRA, Executive Director, Therapeutic Strategy Lead, Rare Disease Given that 80% of rare diseases have a genetic etiology, genetic implications should be addressed at the onset of a clinical program to support trial enrollment. One diagnostic example that I discussed in my presentation is autism.

Genetics 184
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Generative AI in Clinical Research: Revolutionizing Medical Data Analysis, Treatment Planning, and Innovation

Cloudbyz

Generative artificial intelligence (AI) techniques are increasingly being applied in clinical research to enhance various aspects of medical data analysis, diagnosis, treatment planning, and drug discovery. Clinical Trial Design and Optimization: Generative AI can aid in the design and optimization of clinical trials.

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Why a Platform Approach is Vital for Clinical Research Management Transformation

Cloudbyz

The clinical research landscape is rapidly evolving. As it becomes more complex with growing volumes of data, evolving regulations, and the pressure for faster drug development, traditional methods of clinical research management are no longer sufficient. This is where the platform approach comes into play.

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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. As a result, the time required to design, launch, and execute high-impact clinical trials is significantly reduced.”

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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.

Trials 52
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Decoding diseases: The AI renaissance in clinical trials

Drug Discovery World

Deepika Khedekar , Associate Centralized Clinical Lead at IQVIA, explains how artificial intelligence could make clinical trials more accurate, accessible and standardised. Tapping into the capabilities of AI One reason AI may accelerate clinical trials is its ability to rapidly process and analyse vast amounts of data.

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To Share or Not to Share Failed Genetic Screening Results with Patients

Worldwide Clinical Trials

When using genetic screening to identify clinical trial volunteers, a sponsor’s obligations for further testing and disclosure of results to patients and families are unclear, especially when the results have no impact on medical management. Guidance in this area is much needed. Read the full article!

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