Healthcare, Affective Computing, Emotion, Mood, Mental Health, Sleep and Circadian Rhythm, Mobile Health, Wearable Mobile Pervasive Computing, Big Data Analysis, Machine Learning, Statistical Analysis, Predictive Analysis, Probablistic Models, AI
Applied Physics and Informatics/Biomedical Engineering
Keio University
2005
B.Eng.
Applied Physics and Informatics/Biomedical Engineering
Keio University
2003
Research and Expertise
Research Interests
Web Link Dr. Sano's research focuses on machine learning, digital health, mobile health, affective computing, ubiquitous computing, behavioral science, adaptive systems, artificial intelligence, human/computer interaction, intelligent systems, biomedical health informatics, digital phenotyping, just-in-time interventions, personalized medicine
Publications/Creative Works
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Affiliations
Research Consortia
Gulf Coast Cluster for Artificial Intelligence in Healthcare
Training Grants
NLM Training Program in Biomedical Informatics & Data Science for Predoctoral and Postdoctoral Fellows
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