Understanding Lung Cancer Related Risk Factors and Their Impact
LUCIA aims to develop prediction models for the early diagnosis of lung cancer based on the identification of risk factors and deeper cellular knowledge, by recording real-world data; with risk assessment tools, non-invasive devices and omics analysis. These models will enable new clinical pathways and diagnostic workflow to be implemented to ensure early diagnosis and confirmation, including classification of lung cancer subtype.
Collecting and Evaluating Data of Potential Volatile Biomarkers in the Exhaled Air of Subjects With and Without COVID-19 by DiaNose
The study aim is to collect and analyze data of potential Volatile Organic Compounds (VOCs) that could be used for discriminating between patients with and without COVID-19 or with high-risk for COVID-19 by DiaNose breath test.
up to 300 subjects will be enrolled to the study ( 200 COVID-19 suspected and 100 healthy volunteers in two clinical sites (1 in Israel and 1 in US).
DiaNose system is an electronic nose device that can "smell" diseases in the exhaled breath of patients in real time. This approach is non-invasive, simple and save.
The DiaNose prototype system consists the following elements:
A Soft Tube connected to a Sensors Chamber - The soft tube is made of medical grade silicon. The subject blows air into the tube for a few seconds and the exhaled air is directed through the sensors chamber. This unit is for single use.
• Sensors Reading Unit- a multi used unit for sensors signals measurement. The Sensor Reading Unit is connected to a Laptop that is used to activate and save the test measurements.
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