Strategic Objectives
• Unlock the secrets of passive data collection for proactive health monitoring.
• Understand the intersection of smartphone interaction and mental well-being.
• Learn to interpret circadian rhythms and mobility patterns via wearable sensors.
• Identify unique behavioral biomarkers before symptoms become critical.
The Core Challenge
Traditional healthcare relies on reactive, sporadic clinical tests that fail to capture the nuances of daily life and early warning signs.
01
The Dawn of Digital Phenotyping
02
The Rise of mHealth
03
The Science of Affective Computing
04
Smartphone Sensors 101
05
Passive vs. Active Sensing
06
Mobility and Locomotion Patterns
07
Digital Biomarkers
08
Circadian Rhythms in the Digital Age
09
Social Signaling and Connectedness
10
The Role of Wearable Technology
11
Data Privacy and Ethics
12
Machine Learning in Phenotyping
13
Digital Psychometrics
14
Monitoring Neurodegenerative Disease
15
The Quantified Self Movement
16
Signal Processing for Health
17
Ecological Momentary Assessment
18
The Future of Clinical Trials
19
Cybersecurity in Health Sensing
20
Personalized Medicine 2.0
21
The Ethical Horizon
Explore Research Ecosystem
Available eBook Editions
Arabic
English
French
German
Italian
Japanese
Korean
Portuguese
Spanish
