Remove Clinical Research Remove Presentation Remove Trials
article thumbnail

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Clinical trials are expensive, slow and often limited by outdated design constraints.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.

article thumbnail

The Growing Trend of Patient-Led Clinical Research in Rare Disease

Conversations in Drug Development Trends

By: Juliane Mills, Senior Director, Therapeutic Strategy Lead, Rare Disease The rise of patient-led clinical research, particularly in rare disease, represents a significant shift in the clinical trial landscape. Why Is There an Increase in Patient-Led Rare Disease Research?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Managing Opportunities and Risks in Generative AI Use for Clinical Research

PPD

Generative artificial intelligence (AI) has captured global attention for its transformative potential across industries, and nowhere is the promise greater — or more fraught — than in health care and clinical research. This presents three core conflicts: Opaque provenance: The data used to train the model is not transparent.

article thumbnail

2025: Perspectives and Predictions From Advarra Thought Leaders

Advarra

2024 has been a year of growth and evolution in clinical research. These topics include perspectives on how artificial intelligence (AI) will be leveraged in clinical research, key regulatory trends shaping the industry, the movements of site consolidation, the continued challenges (and potential solutions) of study startup, and more.

article thumbnail

Applying Artificial Intelligence to Transform the Patient Enrollment Paradigm in Clinical Research

PPD

AI also has the potential to incorporate real-world data (RWD) obtained from electronic health records (EHRs), medical claims or other data sources to inform the design and optimization strategy of clinical trials. A high-risk participant can be even excluded from the study based on the severity of the adverse event.

article thumbnail

What do volunteers for research studies do after finding a trial?

Antidote

For many people, participating in a research study presents an interesting opportunity with many benefits to volunteering. While there are many types of clinical research, all with distinct goals and timelines, trial volunteers will follow a similar path when taking part. Read on to learn more about the process.

Trials 119
article thumbnail

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.