DEEP TECH HEALTH + NEUROTECH
University of Washington’s Dror Ben Zeev has published a paper detailing a wide array of phone-based technology meant to support the recovery of psychosis throughout life — from early detection to symptom management to vocational rehabilitation, The study includes self reported mental health assessments, self-management interventions, medication reminders, messages from case managers, tele-therapy, and skill […]
Migraine Alert by Second Opinion Health uses machine learning to analayze weather, activity, sleep, and stress, to determine if a user will have a migraine headache. The company claims that the algorithm is effective after 15 episodes are logged. They have launched a multi patient study with the Mayo Clinic, in which subjects use a phone and […]
Shwetak Patel and UW colleagues have developed PupilScreen, an app that uses a phone’s camera to detect concussion from the pupil. The phone’s video camera and flash check the eye for its pupillary light reflex, measures size changes associated with concussion. Machine learning algorithms confirm the diagnosis. Hospitals typically use a pen light to check […]
Beyond Verbal recently used its emotion-detecting voice analysis app in an attempt to predict coronary artery disease in 150 study participants, 120 of whom had presented for angiography. The company claims to have identified 13 voice features associated with CAD – and one associated with a 19-fold increase in its likelihood. The researchers said that […]
Mount Sinai Health System (with 7,100 physicians) has launched RxUniverse, an enterprise wide, curated app prescription system. Included apps have have been evaluated based on published evidence, to help physicians utilize digital health solutions, with an increased level of safety. A pilot platform was launched throughout five clinical areas at Mount Sinai earlier this year. Physicians […]
Monsenso is an app created to help those who suffer from mental illness gauge their own symptoms. ApplySci applauds this and other attempts to empower the patient (as long as privacy is protected), which in itself could produce positive outcomes. Data is continuously sent to clinicians, and emergency interventions are facilitated. Monsenso users complete […]
University of Washington’s Shwetak Patel and his UbiComp Lab colleagues develop non-invasive, smartphone based tests, meant to bring diagnostics to the masses. HemaApp, a smartphone/light source detection method for anemia, could be especially useful in areas lacking access to care. Anemia is extremely common in poor countries. In a recent study, a phone camera was used […]
With equal parts modesty, enthusiasm, and wearable tech expertise, Olympic cyclist Sky Christopherson came to ApplySci’s recent Wearable Tech + Digital Health + NeuroTech NYC conference to “thank this community for helping the US Olympic team before the last Olympics with a lot of the same technology to help athletes prepare, using data and not drugs.” […]
Apple’s Breathe meditation app follows the recent trend of using wearables to quantify mindfulness and improve mental health. Every four hours (while wearing the Apple Watch) Breathe reminds one to inhale and exhale for one to five minutes. Concentric circles can be watched as they shift on the screen, or a wearer can respond to […]
The American Sleep Apnea Association, Apple and IBM have begun a study about the impact of sleep quality on daily activity level, alertness, productivity, health and medical conditions. iPhone and Apple Watch sensors and the ResearchKit framework collect data from healthy and unhealthy sleepers, which is sent to the Watson Health Cloud. The SleepHealth app uses the watch’s heart rate […]