Quantifying neurologic disease using biosensor measurements in-clinic and in free-living settings in multiple sclerosis

Technological advances in passive digital phenotyping present the opportunity to quantify neurological diseases using new approaches that may complement clinical assessments. Here, we studied multiple sclerosis (MS) as a model neurological disease for investigating physiometric and environmental sig...

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Veröffentlicht in:	NPJ digital medicine Jg. 2; H. 1; S. 123
Hauptverfasser:	Chitnis, Tanuja, Glanz, Bonnie I., Gonzalez, Cindy, Healy, Brian C., Saraceno, Taylor J., Sattarnezhad, Neda, Diaz-Cruz, Camilo, Polgar-Turcsanyi, Mariann, Tummala, Subhash, Bakshi, Rohit, Bajaj, Vikram S., Ben-Shimol, David, Bikhchandani, Nikhil, Blocker, Alexander W., Burkart, Joshua, Cendrillon, Raphael, Cusack, Michael P., Demiralp, Emre, Jooste, Sarel Kobus, Kharbouch, Alaa, Lee, Amy A., Lehár, Joseph, Liu, Manway, Mahadevan, Swaminathan, Murphy, Mark, Norton, Linda C., Parlikar, Tushar A., Pathak, Anupam, Shoeb, Ali, Soderberg, Erin, Stephens, Philip, Stoertz, Aaron H., Thng, Florence, Tumkur, Kashyap, Wang, Hongsheng, Rhodes, Jane, Rudick, Richard A., Ransohoff, Richard M., Phillips, Glenn A., Bruzik, Effie, Marks, William J., Weiner, Howard L., Snyder, Thomas M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 11.12.2019 Nature Publishing Group
Schlagworte:	631/1647/1888 692/617/375/1666 Biomedicine Biosensors Biotechnology Digital technology Disease Health informatics Measurement techniques Medicine Medicine & Public Health Multiple sclerosis Sensors and probes Multiple sclerosis
ISSN:	2398-6352, 2398-6352
Online-Zugang:	Volltext
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