Tag: physIQ

physIQ Announces Collaboration with InCarda Therapeutics and Syneos Health to Accelerate Innovative Phase III Study in Patients with Atrial Fibrillation

Revolutionary trial design incorporates wearable sensors, FDA-cleared biomarkers and near real-time data to screen, enroll and track patients more quickly. The physIQ platform will support efficacy and safety evaluation of orally inhaled AF treatment which could mean more rapid restoration of […]

PhysIQ and Purdue University launch study to develop algorithms for detecting earliest signs of COVID-19 from biometric smartwatch data

WEST LAFAYETTE, Ind.–(BUSINESS WIRE)–Certain changes in a person’s heart and breathing rates could precede symptoms of COVID-19, an increasing number of studies suggests. Purdue University researchers have begun a study that would help determine if continuously collected biometric smartwatch data could be […]

NorthShore University HealthSystem, Carnegie Mellon University and PhysIQ Launch Comprehensive Study of New Technology to Monitor At-Risk Cardiac and Surgical Patients

CHICAGO–(BUSINESS WIRE)–NorthShore University HealthSystem (NorthShore), Carnegie Mellon University, and physIQ are collaborating on a multi-phase pilot project using the pinpointIQ™ solution to manage patients with heart failure and patients undergoing ileostomy. These patient populations historically have significant clinical risks when transitioning from the […]

PhysIQ, Department of Defense, and The Henry M. Jackson Foundation for the Advancement of Military Medicine Partner to Deploy Continuous Remote Monitoring Platform to Study COVID-19

This DOD-funded initiative will assess the role of home-based continuous biosensor data and AI analytics in addressing the global COVID-19 crisis. The program will initially involve military hospitals across the United States, as well as international sites in Southeast Asia. […]

PhysIQ and U.S. Veteran’s Affairs Publish Breakthrough Study Predicting Heart Failure Hospitalization up to 10 days in Advance using AI

PhysIQ and the U.S. VA publish results of a clinical trial that demonstrates how artificial intelligence (AI) applied to continuous wearable sensor data may predict hospitalizations. When coupled with the high sensor wear compliance rates, the 7-10-day early warning timeframe […]