ClinicalTrials.gov
public full text
Public Domain
Using Data From a Multisensor Rapid Health Assessment Device to Predict Decompensation in Long COVID (AIDI)
We are conducting a research study at the VA hospital in Bedford, MA to learn more about how a multisensor rapid health assessment device, MouthLab, can help predict or anticipate future health complications in patients with underline conditions after contracting COVID-19. The device was created by a health technology and digital medicine company called Aidar Health, Inc. MouthLab is a non-invasive, hand-held device that works like a breathalyzer. An individual breathes into the device for 60 seconds and the MouthLab gathers more than 10 vital health parameters like temperature, heart rate, SpO2, ECG, and basic lung functions. Participation in the study will last for 6 months, and the purpose is to gather health information from people who have been previously hospitalized with COVID-19. We will use the data to develop an algorithm that predicts future complications of COVID-19, especially among patients with complex conditions (i.e., heart failure, chronic kidney disease, diabetes, hypertension, asthma, chronic obstructive pulmonary disease), and enables early intervention.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Collecting Respiratory Sound Samples From Corona Patients to Extend the Diagnostic Capability of VOQX Electronic Stethoscope to Diagnose COVID-19 Patients#833934
- Construction of Early Warning Model for Pulmonary Complications Risk of Surgical Patients Based on Multimodal Data Fusion#992273
- Evaluation of the COVID-19 Infection Response in Patients Admitted to the Emergency Department for Dyspnea#802019
- The Early Prediction of Sepsis in ICU#827165
- Covid-19 Breath Test#1171464
Record · ID 1126653
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive