• Digital-Health-Conference-2020

Invited SpeakersProfile Details

Prof. Charlotte A. E. Hauser
Prof. Charlotte A. E. Hauser Charlotte A. E. Hauser is a professor of Bioscience, at King Abdullah University of Science and Technology in Thuwal.


​Charlotte A.E. Hauser is Professor of Bioscience at King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia. Before joining KAUST, she was a Principal Investigator at the Institute of Bioengineering and Nanotechnology, A*Star, Singapore, and Adjunct Professor at Nanyang Technological University, Singapore. She is a Fellow of the American Institute for Medical and Biological Engineers (AIMBE) and has been elected in 2015 to the rank of NAI Fellow by the US National Academy of Inventors (NAI). After her Ph.D. in Molecular Biology at the Massachusetts Institute of Technology, she joined INSERM in Paris, and the Max-Planck-Institute of Psychiatry in Munich, Germany. Furthermore, she was a founder and Managing Director of Octagene in Munich/Martinsried, Germany, where she developed the newest human recombinant coagulation factor VIII (hFVIII), approved in 2014 by FDA, EMEA and other regulatory authorities and available under the trade name of NUWIQ®. Her research includes molecular self-assembly, synthetic peptide biomaterials, amyloidogenesis, and regenerative therapies.

All sessions by Prof. Charlotte A. E. Hauser

  • Day 2Tuesday, January 21st
Session 4 : Digital Health and Biotechnology (Chair Stefan Arold)
2:55 pm

Digital Health - What Can We Expect From AI in Regenerative Medicine

Digital Health is a conglomerate of several complementary advancements in computational sciences, artificial intelligence (AI), big data analysis, the OMICS fields as well as biomedical technologies with the overall aim to improve the health of individuals and the society’s well-being.

Digital Health might succeed with its promise to completely revolutionize the entire healthcare system. This is particularly important when considering challenges such as shortage of doctors, limited healthcare resources and rising demands from an aging population in the developed world, but similar important in the developing countries due to the lack of developed infrastructure. Analyzing volumes of data and scanning for patterns and relationships AI is an apt technological tool for big data management that could impact and support personalized medicine in areas such as regenerative medicine, prediction of therapeutic compounds by deep learning and AI-assisted 3D bioprinting.

Building 19, Hall 1 14:55 - 15:20 Details