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Clinical trials are expensive, slow and often limited by outdated design constraints.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

Decentralized clinical trials (DCTs): protect your data to reduce risk

BioPharma Drive: Drug Pricing

Decentralized clinical trials (DCTs) bring many benefits to the clinical research process, and more importantly, the patients. However, it is important to remember the risks if there is no data security process in place.

article thumbnail

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.

article thumbnail

Deliver Fast, Flexible Clinical Trial Insights with Spotfire

Clinical research has entered a new era, one that requires real-time analytics and visualization to allow trial leaders to work collaboratively and to develop, at the click of a mouse, deep insights that enable proactive study management.

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. These domains are ripe for innovation. Errors jeopardize patient safety, regulatory compliance and trust.

article thumbnail

Advancing and Safeguarding Clinical Research for a Better Tomorrow

Advarra

Institutional review boards (IRBs) play a crucial role in the ever-evolving field of clinical research. Innovations in fields such as immunotherapy, cancer and chronic diseases owe their existence to clinical trials, which judiciously test and evaluate safety and efficacy.