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Archives for: September 13th, 2022

2022 RDCA-DAP Workshop

Written by Valaree DonFrancesco on September 13, 2022

Registration is OPEN for the 2022 RDCA-DAP Workshop! Join us this September as we bring rare disease stakeholders together for next-level platform demonstrations and case studies, industry expert presentations, panel discussions, and more.

Register here: bit.ly/2022_NORD_RDCA-DAP_Workshop

Attendees of the 1.5-day workshop, including patients, providers, researchers, clinicians, biopharmaceutical companies, regulatory reviewers, and… Read More

Rare Disease Innovation and Data Sharing Accelerated by New RDCA-DAP Program

Written by Rohan Narayanan on September 15, 2021

TUCSON, Ariz. and WASHINGTON, September 15, 2021 — The Rare Disease Cures Accelerator-Data and Analytics Platform initiative (RDCA-DAP®) officially launched its next phase on Tuesday establishing itself as the leading platform to accelerate rare disease treatment innovation. The launch was part of an all-day virtual workshop and annual meeting of rare… Read More

Breaking Down Data Siloes: New Analytics Platform Sparks Opportunity for Rare Disease Field

Written by Valaree DonFrancesco on September 1, 2021

TUCSON, Ariz. and WASHINGTON, September 1, 2021 — For two years, Critical Path Institute (C-Path), the National Organization for Rare Disorders (NORD) and the U.S. Food and Drug Administration (FDA) have joined with others throughout the rare disease community to create a novel, best-in-class platform to accelerate rare disease treatment innovation.

On Read More

In Final Installment of Video Series, Patient Advocacy Group Leaders Share Thoughts on the Importance of Participation in RDCA-DAP

Written by Valaree DonFrancesco on December 16, 2020

The Rare Disease Cures Accelerator-Data and Analytics Platform (RDCA-DAP) initiative will allow patient organizations to leverage the data they have collected to accelerate understanding of disease progression, clinical outcome measures and biomarkers for rare diseases. It will increase the efficiency of data analysis, and hopefully… Read More