April 09, 2024 EUROoCS

EUROoCS Announces Upcoming Digital Lectures on Cutting-Edge Organ-on-Chip Research

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The European Organ-on-Chip Society (EUROoCS) is set to host a series of digital lectures on April 23rd, from 17:00 to 18:00 CET, featuring prominent researchers in the field of organ-on-chip (OoC) technologies.

Cecilia Palma, from Politecnico di Milano, will lead a session titled “A Compartmentalized Joint-on-Chip Model to Unravel the Contribution of Cartilage and Synovium to Osteoarthritis Pathogenesis.” Palma is renowned for her work in developing OoC platforms to model articular joints. Her research focuses on joint-related pathologies, including osteoarthritis and rheumatoid arthritis, with the goal of uncovering unknown disease mechanisms.

Joining her is Dr. ir. José Manuel Rivera Arbelaéz, a postdoctoral researcher at the University of Twente’s Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS). Dr. Rivera Arbelaéz is part of the BIOS Lab on a chip group and Applied Stem Cell Technologies (AST), contributing to the Netherlands Organ-on-Chip Initiative (NOCI). His lecture, “Versatile and Modular Approach for Engineering and Analyzing Three-Dimensional Cardiac Tissues Using Human Pluripotent Stem Cells (hPSC),” will delve into his research on developing Heart-on-Chip models for drug discovery and disease modeling.

Lastly, Alessandra Grillo, a recent PhD graduate from the Centre for 3D Models of Health and Disease at UCL, will present her work on “Modelling the Distal Nephron with Organ-on-Chip for the Study of Renal Electrolyte Disorders.” Alessandra’s research now focuses on the renal reabsorption of inorganic nitrate and its impact on blood pressure, as well as the development of an in vitro model of the collecting duct using OoC systems.

These lectures are part of EUROoCS’s commitment to advancing the field of OoC and fostering collaboration among researchers. The sessions promise to provide valuable insights into the latest developments and applications of OoC technologies in disease modeling and drug discovery.

Please sign up to attend the lecture here.

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