Accelerating Cancer Research through AI and Data Sharing: A Collaborative Journey between Harvard and Gothenburg

Important results from the project

** Denna text är maskinöversatt ** Our collaboration with Harvard University has established a foundation for continued partnership, extending beyond VINNOVA´s funding. Through active participation in seminars and workshops at the host organization, our exchange partner gained valuable insights into AI´s applications in cancer research and health data analysis. Moreover, they acquired knowledge about data sharing practices between hospitals and academic institutions. However, there remains much to explore in this area.

Expected long term effects

** Denna text är maskinöversatt ** The result is above all a continued collaboration with the host organization where we can get support and guidance when it comes to applying new data science methods in cancer research. The hope is that the research project that VINNOVA co-financed during the last 6 months will end up in a scientific article. The exchange has also increased the competence of the exchange party, knowledge that is taken back to contribute to research at Göteborgs Universitet.

Approach and implementation

** Denna text är maskinöversatt ** Our exchange party spent six months full-time at a computer science lab at Harvard University (Harvard Medical School),) where, under the supervision of leading experts, they gained knowledge on how genetics and clinical data can be integrated. They also participated in weekly workshops and seminars on how AI can be applied in genetic research as well as in healthcare. A major focus of these meetings has been how AI can be used to streamline the extraction of data for use in research in a structured and patientsecure way.