Deep learning-based system enables dermatologist-level identification of suspicious skin lesions from smartphone photos, allowing better screening.
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Sharing information about the expected effect of a health app before its use and providing positive feedback regarding its effectiveness after its use have the potential to strengthen the placebo effect.
For the first time doctors have shown that measuring changes in 24-hour heart rate can reliably indicate whether or not someone is depressed.
A research study seeks volunteers to provide data from smartphones, smartwatches and health surveys to help detect COVID-19.
A wearable sensor could help doctors remotely detect critical changes in heart failure patients days before a health crisis occurs and could prevent hospitalization.
A new statistical technique from the field of machine learning is now making it possible to predict the success of smartphone-based interventions more accurately.
A machine learning method discovered a clue in people’s language predictive of the emergence of psychosis — the frequent use of words associated with sound.
Researchers have developed an app that uses sonar to monitor someone's breathing rate and sense when an opioid overdose has occurred.
Baseline study using data from the Sea Hero Quest game identifies key findings for dementia research.
Mobile Brain/Body Imaging system combines virtual reality, brain monitoring, and motion capture technology for researchers to study neurological disorders.