Engineering students and faculty from Penn’s General Robotics, Automation Sensing and Perception Lab have been chosen as one of six international teams to compete in the 2010 MAGIC Finals, to be held Nov.

PHILADELPHIA –- Bioengineers at the University of Pennsylvania have created a system to control the flexibility of the substrate surfaces on which cells are grown without changing the surface properties, providing a technique for more controlled lab experiments on cellular mechanobiology, an important step in the sc

PHILADELPHIA  -– The mechanism by which a herpes virus invades cells has remained a mystery to scientists, but now research from Tufts University and the University of Pennsylvania reveals the unusual structure of a key member of the protein complex that allows a herpes virus to invade cells.

PHILADELPHIA –- Researchers at the University of Pennsylvania have developed a new, carbon-based nanoscale platform to electrically detect single DNA molecules.

PHILADELPHIA –- Collaboration by chemists, physicists and materials scientists at the University of Pennsylvania has created a simple and inexpensive method to rapidly grow centimeter-scale membranes of binary nanocrystal superlattices, or BNSLs, by crystallizing a mixture of nanocrystals on a liquid surface.

Seven faculty members in the University of Pennsylvania School of Veterinary Medicine are recipients of 2010 teaching awards.   

PHILADELPHIA –- Cognitive psychologists at the University of Pennsylvania and University of California have shown that an image displayed too quickly to be seen by an observer can be detected if the participant first hears the name of the object.

Veterinarian Michael Moyer, the Rosenthal Director of Shelter Animal Medicine at Penn Vet and head of Community Practice, gives a dog a checkup, with assistance from a student.

PHILADELPHIA -– Harvey Rubin, executive director of the Institute for Strategic Threat Analysis and Response at the University of Pennsylvania, will be among the international experts participating in

PHILADELPHIA –- A team of bioengineers from the University of Pennsylvania Institute for Medicine and Engineering have trained a computer neural network model to accurately predict how blood platelets would respond to complex conditions found during a heart attack or stroke.