Current Projects
Biobehavioral Predictors of Recovery after Cancer Surgery
We are conducting two studies in this area: a longitudinal observational study and a randomized controlled trial.
(1) Do behavioral patterns tracked using smartphone and wearable sensors predict clinical outcomes such as readmission after cancer surgery? (2) Can we use mobile technology to reduce sedentary behavior before and after cancer surgery, and does doing so improve postoperative health? Sponsors: NCI P30CA047904 NCI K07CA204380 University of Pittsburgh Aging Institute Pittsburgh Health Data Alliance Co-investigators: David Bartlett & others in Surgical Oncology Dana Bovbjerg & Frank Jenkins John Jakicic Anind Dey |
Sensing Quality of Life during Cancer TreatmentCan passive sensors in smartphones & wearable activity trackers detect changes in stress and symptoms during chemotherapy?
Sponsors:
NCI R37CA242545 University of Pittsburgh University Center for Social and Urban Research Co-investigators: Anind Dey, Grace Bae, & Denzil Ferreira Weijing Sun, Nathan Bahary, & others in Hematology/Oncology Heidi Donovan Thomas Kamarck |
Internet Support Groups: Pathways to Mental Health
Can we apply machine learning to online support community messages to to identify which expression & communication patterns predict improvements in mental health?
Sponsor: NIMH R21MH06880 Co-investigators: Robert Kraut John Levine & Bruce Rollman |