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Jane Synnergren is a Visiting Professor at the University of Gothenburg, specializing in cardiovascular research and the mechanisms of sarcomere function modulation through antisense-mediated regulation of exon usage. Her research interests include the exploration of deep learning models for subgroup shift in breast cancer prognosis, the application of machine learning algorithms in cancer stage prediction, and the development of human pluripotent stem cell-derived cardiomyocytes for advancing cardiac repair methods. With a focus on personalized medicine, she has been instrumental in studies investigating the regenerative capabilities of tissue-engineered veins and the transport of RNA through extracellular vesicles. Synnergren has published extensively in high-impact journals, contributing significantly to the fields of stem cell research and molecular aspects of medicine, and is actively involved in enhancing the translatability of stem cell-derived therapies. Her collaborative work spans multiple disciplines, showcasing her commitment to the advancement of cardiovascular therapeutics and the utilization of advanced computational techniques in biomedicine.
University of Gothenburg • Göteborg
Conducting research and teaching in cardiovascular medicine.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).