CTTI to Launch New Online Digital Health Trials Hub

CTTI will host a public webinar on Wed., Apr. 6 to introduce a new online Digital Health Trials Hub featuring enhanced recommendations and additional resources. 

“This updated and expanded resource drives CTTI’s bold Transforming Trials 2030 vision by helping sponsors, investigators, CROs and technology providers design and run clinical trials that are patient-centered, easily accessible, and designed with a quality approach,” said CTTI Executive Director Sally Okun. 

The new Hub combines resources that have been restructured from CTTI’s four existing Digital Health Trials projects, completed from 2017 to 2019, along with improvements and new work from two project teams, Decentralized Clinical Trials Updates and Novel Endpoints Acceptance. By creating the Hub, CTTI’s aim is to make the most relevant information more useful and accessible for those in the clinical trials enterprise who are designing and running patient-centered trials. 

Key enhancements and additions made to the Hub include significantly updated recommendations, revised reference documents, and two new resources – the Question Bank for Identifying Meaningful Outcome Measures and a Process Map for use of a digitally-derived endpoint in an individual drug development pathway. These enhancements are the culmination of CTTI’s 2021 Digital Health Trials work that highlighted the importance of early stakeholder engagement, flexibility and tailored approaches to trial design and conduct, and flexible support of sites. 

The free one-hour webinar, which includes presentations from Megan Doyle of Amgen and Jörg Goldhahn of ETH Zurich, will begin at 11:00am EDT and registration is available online on CTTI’s website. 

New CTTI Project Aims to Promote the Use of Disease Progression Modeling to Advance Trial Design and Decision Making

Modeling and simulations are powerful tools that can be leveraged to inform clinical trial design, support regulatory decision making, and accelerate the process of bringing treatments to patients. Despite the benefits of these methods, their use is still not widely accepted among sponsors, investigators, and regulators. Recently, there has been growing interest across the clinical trials ecosystem in advancing the use of disease progression modeling to improve clinical trial quality and efficiency and inform regulatory decision making. Disease progression modeling leverages data from a variety of sources, improving trial diversity and combining many different models to help inform decision making. 

To promote these methods, CTTI has started a new project engaging a variety of stakeholders and experts in the development of recommendations and resources for the application of disease progression modeling in clinical trials. Through this project, CTTI will generate case studies detailing successful applications of disease progression modeling, a framework for the execution of disease progression modeling in clinical trials, a set of recommendations for the implementation of disease progression modeling in clinical trials, and a review paper detailing relevant disease progression modeling applications. This project aims to improve trial and clinical development efficiency by increasing the recognition, value, and consistent use of disease progression modeling. CTTI’s work in this area will also help to advance the broader application of modeling and simulation for trial design and regulatory decision making. 

To generate recommendations and resources supporting the application of disease progression modeling in clinical trials, CTTI will utilize a variety of iterative evidence generating strategies—including a scoping review assessing the landscape of disease progression modeling applications and an expert meeting discussing the barriers to disease progression modeling application and avenues for advancement. 

Through this work, CTTI will create recommendations and resources for designing clinical trials with a quality approach that maximally leverages available data—in alignment with CTTI’s Transforming Trials 2030 vision.

 

Using Disease Progression Modeling to Advance Trial Design and Decision Making

Topics Included: Innovative Trials, Regulatory Submissions + Approvals

Using modeling and simulations, researchers can make more informed decisions when planning and executing clinical trials. In particular, disease progression modeling (DPM) leverages multiple types of data from various sources to inform trial design and support regulatory decision making. To help advance the use of DPM in medical product development, CTTI has released recommendations that highlight its unique value and provide practical guidance on when and how to apply it effectively. These resources support efforts to bring treatments to patients more efficiently and promote broader adoption of modeling and simulation approaches in clinical research.

Resources

Regulatory Submissions + Approvals | Resources

Regulatory Engagement Opportunities when Developing Digitally Derived Endpoints

Regulatory Engagement Opportunities when Developing Digitally Derived Endpoints

Regulatory Submissions + Approvals | Resources

Question Bank for Identifying Meaningful Outcome Measures

Question Bank for Identifying Meaningful Outcome Measures

Regulatory Submissions + Approvals | Resources

Preparing a Digitally-derived Endpoint for Key Endpoint Use

Preparing a Digitally-derived Endpoint for Key Endpoint Use

Site Planning | Resources

Clearing a Path for Broad Implementation of DCTs

Clearing a Path for Broad Implementation of DCTs

Site Planning | Resources

Considerations for Delivering an Investigational Product

Considerations for Delivering an Investigational Product

Site Planning | Recommendations

Digital Health Trials: Recommendations to Sponsors for Planning Decentralized Trials

Digital Health Trials: Recommendations to Sponsors for Planning Decentralized Trials

Site Planning | Case Studies

Rho Combines CTTI Resources to Operate with Optimal Efficiency and Data Quality

Rho Combines CTTI Resources to Operate with Optimal Efficiency and Data Quality

Innovative Trials | CTTI News

CTTI to Launch New Online Digital Health Trials Hub

CTTI will host a public webinar on Wed., Apr. 6 to introduce a new online Digital Health Trials Hub featuring enhanced recommendations and additional resources. “This updated and expanded resource...

Regulatory Submissions + Approvals | CTTI News

New CTTI Project Aims to Promote the Use of Disease Progression Modeling to Advance Trial Design and Decision Making

Modeling and simulations are powerful tools that can be leveraged to inform clinical trial design, support regulatory decision making, and accelerate the process of bringing treatments to patients. Despite the...

Regulatory Submissions + Approvals

Using Disease Progression Modeling to Advance Trial Design and Decision Making

Using modeling and simulations, researchers can make informed decisions when planning and executing clinical trials. In particular, disease progression modeling leverages multiple types of data from various sources to inform...

Formats

Stage of Trial