The Department of Bioengineering at the University of Pennsylvania and Dr. Paul Yushkevich are pleased to announce the Doctoral Dissertation Defense of Sadhana Ravikumar. Title: "Characterizing medial temporal lobe neurodegeneration […]
Abstract: "Syk and Src family kinases (SFK) inhibitors interfere with signaling from GPVI, α2β1, αIIbβ3, and GPIb-IX-V to reduce thrombotic risk or induce bleeding episodes. Collagen-mediated clustering of platelet GPVI […]
The Department of Bioengineering and Dr. Brian Litt are pleased to announce the Doctoral Dissertation Defense of T. Campbell Arnold. Monday, June 13, 2022 10:30 AM The public is welcome […]
The Center for Engineering MechanoBiology (CEMB) welcomes Dr. García for a Distinguished Lecture on June 14th at 3pm. A reception will follow the seminar in the Levine Lobby.
Abstract: Polymer-infiltrated nanoparticle films (PINFs) are a new class of polymer nanocomposites that overcome many of the challenges in manufacturing highly loaded nanocomposite films (PNCFs). PINFs have a wide range […]
Launched in May 2021, the Future Leaders in Mechanobiology is a monthly seminar series featuring up-and-coming leaders in mechanobiology–PhD students and postdocs from a wide range of fields, backgrounds, and institutions. By […]
Join the Department of Bioengineering for a Juneteenth Address delivered by Dr. Michelle Johnson, Associate Professor in Physical Medicine and Rehabilitation and in Bioengineering and Director of the Rehabilitation Robotics […]
The promise of multi-robot systems is that they can complete tasks quicker and more efficiently than a single robot. However, such performance gains are only realized if robots can communicate […]
Contact manu@seas.upenn.edu for the Zoom link. Title: “Small fat droplets are sufficiently rigid to indent a nucleus, dilute the lamina, and cause rupture"
This hybrid seminar is hosted by the Center for Targeted Therapeutics and Translational Nanomedicine (CT3N) Join Zoom Meeting https://pennmedicine.zoom.us/j/93635057985?pwd=S200Sk9ONHZySm8zRUhvNWp0bEpldz09 Meeting ID: 936 3505 7985 Passcode: 06222022 One […]
Graph neural networks (GNNs) are successful at learning representations from most types of network data but suffer from limitations in large graphs, which do not have the Euclidean structure that […]