
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.
| 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). | 0 | |
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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). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
