"Moment-by-moment quantification of the individual-level human phenotype in-situ utilizing data from cellphones and other personal digital devices," according to the definition of digital phenotyping. To put it another way, this technology makes use of sensors to track a person's behavior, location, and speech patterns (e.g., intonation). The measuring focus is not on content (what you write), but on how you type, when assessing human-computer interaction (for example, the use of a smartphone). Machine learning is used to aggregate and evaluate these interactions—the patterns and timings of user activity on touch-screen devices. Digital "biomarkers" relate to the outcomes of these interactions. As a clinical tool, digital phenotyping is currently being developed. Digital technologies and techniques have a lot of potential. Indeed, the COVID-19 pandemic has demonstrated the value of telehealth platforms and mental health applications (apps) during a period of quarantine and social isolation.