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Audiovisual . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Audiovisual . 2025
License: CC BY
Data sources: Datacite
ZENODO
Audiovisual . 2025
License: CC BY
Data sources: Datacite
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MJFF Data Community Webinar: Patient-Centered Research in the Age of Big Data - Practical Strategies for Non-Clinician Scientists

Authors: Hernández-Medrano, Ana Jimena;

MJFF Data Community Webinar: Patient-Centered Research in the Age of Big Data - Practical Strategies for Non-Clinician Scientists

Abstract

In this webinar, Dr. Ana Jimena Hernández-Medrano (International Laboratory for Human Genome Research, National Autonomous University of Mexico) discusses the importance of keeping the patient as the focal point of Parkinson's disease research, particularly in an era when big data and algorithmic advancements increasingly dominate scientific discourse. As both an MD and data scientist, Dr. Hernández-Medrano collaborates with the Latin American Research Consortium on the Genetics of Parkinson’s Disease (LARGE-PD) and contributes to GP2 and PD GENEration. Her work bridges clinical care, ethics, genotype–phenotype correlation, data science, and machine learning—aimed at closing gaps and advancing equity in care for people living with Parkinson’s, especially in underrepresented populations. This webinar was organized by the the Michael J. Fox Foundation's Data Community of Practice (DCoP). Do you have ideas or suggestions for other webinar topics you would like to see? Is there a tool you feel the community would benefit from highlighting? Let us know by leaving your thoughts in this thread: Seeking Webinar Ideas and Requests from the Community, or by contacting researchcommunity@michaeljfox.org. For those interested in joining or contributing to the DCoP, please visit rcop.michaeljfox.org.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average