Recognizing Stress and Anxiety with Machine Learning and Wearables Data, presented at 2019 IEEE International Symposium on Computer-Based Medical Systems

Application submission deadline is September 30, 2019.

Q&A With Will Struebing

Q&A With Spencer Lamm, MLIS

The development of population registries, biobanks, and research consortia will provide larger, more generalized samples for genomics research

Pathogenicity prediction for novel missense variants can use features describing regional variant constraint.

"My whole team in fact are from all walks of life...but the mission and their talent is what matters."

SCRABBLE leverages bulk data as a constraint and reduces unwanted bias towards expressed genes during imputation.

Validating the expected behavior of a customized CDS system in the high-volume, complex environment of the live EHR is a challenging problem.

Using gene expression data to predict the outcome of a patient's tumor makes biomarker discovery a compelling tool for improving patient care.