Her CAREER project uses the power of machine learning to address the challenges of high data dimensionality and limited sample sizes in clinical neuroscience.
Johns Hopkins engineers Mounya Elhilali and James West write in IEEE Spectrum about their efforts to improve the stethoscope.
Nature reports on NeuroData, a free, cloud-based collection of web services that allows researchers to explore terabytes of brain images in multiple formats. Randal Burns, interim chair of the Department of Computer Science, and Joshua Vogelstein, assistant professor of biomedical engineering, are quoted and mentioned.
Using existing smartphone components—including the microphone, touch screen, and accelerometer—app gathers valuable diagnostic data in a non-clinical setting.
A smartphone application developed by researchers from Johns Hopkins University and the University of Rochester can help Parkinson’s disease patients track the severity of their symptoms.
CIRCUIT summer internship program trains students in neuroanatomy for project to improve machine learning.
The project is meant to sharply cut the time and the amount of information needed to put a translation system into use for intelligence agents.
Suchi Saria will discuss her research on statistical machine learning and its application to developing data-driven systems for augmenting human decision-making capability for diagnostics and treatment planning.
Advances in artificial intelligence are improving the possibility of real-time language translation. Philipp Koehn, professor of computer science and member of the Center for Language and Speech Processing, comments.
In a Q&A with Inverse Innovation, Suchi Saria discusses her research in using machine learning algorithms to tailor treatment and improve outcomes for clinical patients.