Newsletter | March 5, 2024

03.05.24 -- AI's Role In Advancing Rare Disease Research

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CLINICAL TRIAL TECHNOLOGY

AI Tools Advancing Rare Disease Research

Guest Column | By Harsha K. Rajasimha, Ph.D., and Deepti Dubey, Ph.D., IndoUSrare

IndoUSrare experts explore the global issues in rare disease research and examine how AI is poised to revolutionize the diagnosis and treatment of these often-overlooked conditions.

Implementing eSource: A Guide For Operations And Technology Roles

Article | By Meghan Hosely, Advarra

By recognizing and addressing the challenges associated with eSource integration, research facilities can fully harness its transformative potential, optimizing efficiency and reliability.

7 eCOA Design Recommendations: Insights From Sites And CRAs

Article | By Katie Garner, Signant Health

Signant joined a group of C-Path members, including other eCOA solutions providers, sponsors, and regulators, for a GBTI project that revealed several opportunities to improve eCOA usability and flexibility.

Zero Disruptions: Migrating 14 Midstudy Clinical Trials In 16 Months

Case Study | OpenClinica

Uncover how Imperial College London was able to effectively transfer 14 ongoing studies, encompassing over 1,700 patients and 150,000+ forms, onto a new EDC platform within 16 months.

The Essential Role Of Adjudication Technology In Clinical Trials

White Paper | Mednet

With adjudication, learn how teams can enhance the quality and integrity of their research, paving the way for impactful and reliable outcomes in clinical research.

Efficiency, Flexibility, And Speed: Building Better Clinical Trials

Product | Zelta

Zelta’s EDC has been used in more than 4,000 studies from startup to submission, across all phases, including over 500 Phase 3c trials and 23 therapeutic areas.

Subject Creation With eCOA, eConsent, And IRT Process Flow

Video | IQVIA Technologies

Watch to see how IQVIA’s integrated interactive response technology and electronic clinical outcome assessment solution combined with unified platform delivery drives study orchestration and optimization.

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