Improving equity in the physics of medical devices
E-Mail Achuta Kadambi, an assistant professor at the UCLA Samueli School of Engineering, published a column in the journal Science about how medical devices can be fundamentally biased -- not just in dataset representation as has been widely reported, but from a deeper root: the laws of physics. Kadambi described how the inherent physics behind medical devices could vary across race and gender. He cited several examples of potential physics-based bias. For example, recent research has shown ...
Achuta Kadambi Massachusetts Institute Of Technology National Science Foundation National Academy Of Inventors Samueli School Of Engineering Massachusetts Institute
Source: eurekalert.org