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A metadata-driven tool to determine the robustness of digital health technologies assessments for Parkinson’s Disease leveraging the voice of the patient – Sakshi Sardar, et al. Abstract # 1314

Metadata standards to support deployment of Digital Health Technologies in Clinical Trials in Parkinson’s Disease – Derek Hill, et al. Abstract # 1289

Identifying and Controlling Variability in Digital Health Measures in Parkinson’s Disease Clinical Trials – George Roussos, et al. Abstract # 342

Data Driven Paths to Advancing Precision Medicine Strategies for Parkinson’s Disease: Critical Path for Parkinson’s Consortium – Martijn Müller, et al. Abstract # 341

The Development of a Parkinson’s Disease Biomarker Inventory Dashboard – Michael Pauley, et al. Abstract # 308

Model Innovation in Parkinson’s Disease Drug Development: Linking Quantitative Systems Pharmacology to the Patient Voice – Jeff Barrett, et al. Abstract # 287

Considerations for Participation in PPP Projects: Learnings from the Critical Path for Parkinson’s Consortium, D. Stephenson

Session: # S0802-L, Understanding of Different Set Ups of PPP, Benefits of PPPs and Learnings of Recent Projects to Facilitate

November 13, 2020

C-Path’s PKDOC Presentation on Fluid-Based Biomarkers

Critical Path Institute’s John-Michael Sauer, Ph.D. presents information on fluid-based biomarkers and how they can be applied

Webinar: Accelerating Drug Development for Rare Diseases through Data Sharing and Analysis (Sept.18, 2020)

How Math, Statistics, and Artificial Intelligence Can be Used to Develop Treatments for Major Diseases: Quantitative Medicine at the Critical Path Institute

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