CEO Dr. Yousef speaks about “The Science of Longevity: Stopping Aging at the Cellular Level to Prevent Disease and Improve Quality of Life” as an invited panelist for the 2023 Biotech Showcase.
CEO Dr. Hanadie Yousef discussed the convergence of AI, healthcare, and longevity in early November in Paris at JPM 40×40 as an invited speaker amongst a curated group of global business leaders across all sectors.
Dr. Hanadie Yousef attends the Global Healthspan Summit in Riyadh, Saudi Arabia, organized by the Hevolution Summit as an invited speaker showcased on their Entrepreneurship Spotlight panel
CEO, Dr. Yousef presented Juvena’s approach to mining the regenerative secretomes of human pluripotent stem cells to identify and develop novel disease-modifying biologics that promote tissue regeneration and repair in order to rejuvenate lives as the 14th annual drug discovery strategic summit this year.
Congratulations to our outstanding ML Engineer, Tejaswini Ganapathi for presenting a poster based on her AI research at Juvena entitled “Prediction of transcriptomic response to perturbagens in unobserved cell lines and cell states” at the ML Drug Discovery Symposium at Broad Institute of MIT and Harvard on October 27, 2023. We presented our exciting development of a generalized machine learning system that predicts biological effects such as gene expression changes on cells.
Congratulations to Juvena Therapeutics Co-Founder and CEO Dr. Yousef for being named a “Big Think” speaker at #BioFuture2023 in recognition of the company’s accelerated growth and momentum in addressing a long-standing critical gap in drug discovery by unlocking the therapeutic potential of secreted proteins in order to develop regenerative therapeutics.
Congratulations to our outstanding ML Engineer, Tejaswini Ganapathi for presenting a poster based on her AI research at Juvena entitled “Prediction of transcriptomic response to perturbagens in unobserved cell lines and cell states” at the ML Drug Discovery Symposium at Broad Institute of MIT and Harvard on October 27, 2023. We presented our exciting development of a generalized machine learning system that predicts biological effects such as gene expression changes on cells.
