UM Data Science Research Seminar

Schedule

Time: 12:00 - 13:00

Title: Data-driven approaches for Regenerative Medicine

Speaker: Yousra Alaoui Selsouli

Abstract: Over 20 million people suffer from bone injuries annually, and the prevalence of this global clinical problem is rapidly increasing due to the aging of the population. Autologous bone transplantation, commonly used for regenerating large, critical-sized bone defects, is usually associated with important limitations such as donor site morbidity, limited availability of the tissue and additional surgical time. Therefore, there is a growing need for effective and preferably synthetic bone graft alternatives, which can be inexpensive and available off-the-shelf.

In contrast to the conventional one-experiment-for-one-material methods for developing new biomaterials, our aim is to develop a platform that allows high-throughput production and screening of advanced functional biomaterials for bone repair. Recent microfluidic-based developments, for example, allow for the high-throughput production and screening of combinatorial libraries of biomaterials and using such approaches, results in generating a large dataset, containing many interrelated parameters involved in the complex mechanism of tissue regeneration. Including advanced data-driven approaches in the biomaterials field, contribute in a better understanding of the biomaterials properties, increasing the efficiency of the biomaterials production and unraveling the role of biomaterials properties on the biological mechanisms involved in biomaterial-induced tissue formation.

For questions or concerns, please contact us via info-ids@maastrichtuniversity.nl

MERLN Institute for Technology-Inspired Regenerative Medicine

• Yousra Alaoui Selsouli

IDS

• Karen Zegers
• Kody Moodley
• Vikas Jaiman
• Lisette Bongers