Bot, Brian M.
Sage Bionetworks
6 papers on CoChatORCID 0000-0002-2412-6826
Most cited papers
- Verified
The consensus molecular subtypes of colorectal cancer
Guinney, J., Dienstmann, R., Wang, X., de Reyniès, A., Schlicker, A., Soneson, C., Marisa, L., Roepman, P., Nyamundanda, G., Angelino, P., et al. (2015) · Nature Medicine
Colorectal Cancer Treatments and StudiesGenetic factors in colorectal cancer
Cited by 5,170
- Verified
The mPower study, Parkinson disease mobile data collected using ResearchKit
Bot, B. M., Suver, C., Neto, E. C., Kellen, M., Klein, A., Bare, C., Doerr, M., Pratap, A., Wilbanks, J., Dorsey, E. R., et al. (2016) · Scientific Data
Mobile Health and mHealth ApplicationsContext-Aware Activity Recognition Systems
Cited by 630
- Verified
Pooled Safety and Efficacy Analysis Examining the Effect of Performance Status on Outcomes in Nine First-Line Treatment Trials Using Individual Data From Patients With Metastatic Colorectal Cancer
Sargent, D. J., Köhne, C. H., Sanoff, H. K., Bot, B. M., Seymour, M. T., de Gramont, A., Porschen, R., Saltz, L. B., Rougier, P., Tournigand, C., et al. (2009) · Journal of Clinical Oncology
Colorectal Cancer Treatments and StudiesColorectal Cancer Surgical Treatments
Cited by 196
- Verified
Mobile health: the power of wearables, sensors, and apps to transform clinical trials
Munos, B., Baker, P. C., Bot, B. M., Crouthamel, M., de Vries, G., Ferguson, I., Hixson, J. D., Malek, L. A., Mastrototaro, J. J., Misra, V., et al. (2016) · Annals of the New York Academy of Sciences
Mobile Health and mHealth ApplicationsNon-Invasive Vital Sign Monitoring
Cited by 118
- Verified
Detecting the impact of subject characteristics on machine learning-based diagnostic applications
Chaibub Neto, E., Pratap, A., Perumal, T. M., Tummalacherla, M., Snyder, P., Bot, B. M., Trister, A. D., Friend, S. H., Mangravite, L., & Omberg, L. (2019) · npj Digital Medicine
Machine Learning in HealthcareArtificial Intelligence in Healthcare
Cited by 83
- Verified
PERSONALIZED HYPOTHESIS TESTS FOR DETECTING MEDICATION RESPONSE IN PARKINSON DISEASE PATIENTS USING iPHONE SENSOR DATA
CHAIBUB NETO, E., BOT, B. M., PERUMAL, T., OMBERG, L., GUINNEY, J., KELLEN, M., KLEIN, A., FRIEND, S. H., & TRISTER, A. D. (2016) · Biocomputing 2016
Statistical Methods in Clinical TrialsParkinson's Disease Mechanisms and Treatments
Cited by 33
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free