{"id":13269,"date":"2024-05-22T15:54:00","date_gmt":"2024-05-22T15:54:00","guid":{"rendered":"https:\/\/www.sygnaturediscovery.com\/?post_type=webinar-and-podcast&p=13269"},"modified":"2026-01-23T16:10:33","modified_gmt":"2026-01-23T16:10:33","slug":"conclusions-on-mitochondria-in-drug-development","status":"publish","type":"webinar-and-podcast","link":"https:\/\/www.sygnaturediscovery.com\/fr\/webinar-and-podcast\/conclusions-on-mitochondria-in-drug-development\/","title":{"rendered":"Conclusions on Mitochondria in Drug Development"},"content":{"rendered":"\n

In the final episode, Tatiana brings together the key learnings from the series. She explores why pharma and biotech teams are increasingly prioritizing mitochondrial health, what recent datasets reveal about CNS energy metabolism, and how emerging analytical approaches cand strengthen decision-making throughout discovery.<\/p>\n\n\n\n

About Tatiana<\/h3>\n\n\n\n
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Tatiana Rosenstock has had an exceptional career and has made significant contributions to the field of Neuroscience for 20+ years. Her work has focused on topics such as mitochondrial deregulation, transcription deregulation, and autophagy in neurodegenerative diseases, such as Huntington\u2019s Disease, and Amyotrophic Lateral Sclerosis, and Schizophrenia.  <\/p>\n\n\n\n

At Sygnature Discovery, Tatiana is a Principal Scientist overseeing various neuroscience-related projects in different sub-areas such as metabolism (mitochondrial function), biomarkers, microglial function and activation, and neuroplasticity. During this period, she has been working with distinct in-vitro models, named iPSC-derived neurons, primary cortical neurons, Alzheimer`s and Parkinson`s disease fibroblasts, neuroblastomas cell lines, tissue and biofluids from transgenics animal models of Alzheimer`s disease. <\/p>\n<\/div>\n<\/div>\n\n\n\n

What You’ll Learn<\/h2>\n\n\n\n
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  • Why mitochondrial health is now a strategic focus in drug discovery<\/li>\n\n\n\n
  • How different measurement approaches complement one another <\/li>\n\n\n\n
  • Practical takeaways for improving study design and interpretation<\/li>\n<\/ul>\n\n\n
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