Aswani, Anil

Differentiation-state plasticity is a targetable resistance mechanism in basal-like breast cancer

Risom, T., Langer, E. M., Chapman, M. P., Rantala, J., Fields, A. J., Boniface, C., Alvarez, M. J., Kendsersky, N. D., Pelz, C. R., Johnson-Camacho, K., et al. (2018) · Nature Communications

Cancer Cells and MetastasisBreast Cancer Treatment Studies

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Feasibility of Reidentifying Individuals in Large National Physical Activity Data Sets From Which Protected Health Information Has Been Removed With Use of Machine Learning

Na, L., Yang, C., Lo, C.-C., Zhao, F., Fukuoka, Y., & Aswani, A. (2018) · JAMA Network Open

Privacy-Preserving Technologies in DataThoreau and American Literature

Cited by 161

Evaluating Machine Learning–Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled Trial

Zhou, M., Fukuoka, Y., Mintz, Y., Goldberg, K., Kaminsky, P., Flowers, E., & Aswani, A. (2018) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsPhysical Activity and Health

Cited by 111

Applying machine learning to predict future adherence to physical activity programs

Zhou, M., Fukuoka, Y., Goldberg, K., Vittinghoff, E., & Aswani, A. (2019) · BMC Medical Informatics and Decision Making

Physical Activity and HealthMobile Health and mHealth Applications

Cited by 45

Applying Natural Language Processing to Understand Motivational Profiles for Maintaining Physical Activity After a Mobile App and Accelerometer-Based Intervention: The mPED Randomized Controlled Trial

Fukuoka, Y., Lindgren, T. G., Mintz, Y. D., Hooper, J., & Aswani, A. (2018) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsPhysical Activity and Health

Cited by 29