Creating Quality life for Asthma Suffers
Everywhere. Everyday. Everyone
A world-leading technology platform
Over the last few years the research team, led by Jacob Malana & team at The University of New South Wales, has pioneered algorithms that accurately characterize the state of patients’ respiratory tracts. The team has created a powerful platform for respiratory disease diagnosis and management which only requires the sound of the patient’s cough or breathing and does not require physical contact. With the high quality microphones in today’s smartphones the platform can be delivered without the need for additional hardware.
In Asthma, doctors are advising to use inhalers for the interim relief. Doctors use stethoscopes to listen to the lungs as the first indication of a respiratory problem. The information available from these sounds is compromised as the sound has to first pass through the chest musculature which muffles high pitched components of respiratory sounds. In contrast, the lungs are directly connected to the atmosphere during respiratory events such as coughs.
Airli is an Australian innovation established to assist consumers “breathe easy by making the invisible visible” by providing real time contextualized and relevant location based air quality health data. We have embraced AI & machine learning predictive algorithms to triangulate geospatial, weather and location based consumer information.
The initial roll out will focus on predictive pollen count analytics for asthma sufferers
the founders bring together deep and diverse domain experience anchored in geospatial research and technology to solve consumer related health problems through supporting behavioral change and digital analytics. Airli app’s technology, originally developed by Jacob Malana and team at The University of New South Wales is based on the premise that voice recognizing technology, cough and breathing sounds carry vital information on the state of the respiratory tract. Airli app was created to diagnose and measure the severity of a asthma, bronchiolitis, chronic and acute diseases such as pneumonia and chronic obstructive using this insight.
We have taken a machine learning approach to develop highly-accurate algorithms which diagnose disease from cough and respiratory sounds. Machine learning is an artificial intelligence technique that constructs algorithms with the ability to learn from data. In our approach, signatures that characterize the respiratory tract are extracted from cough and breathing sounds. We start by matching signatures in a large database of sound recordings with known clinical diagnoses. Our machine learning tools then find the optimum combination of these signatures to create an accurate diagnostic test or severity measure.
Airli is designed to offer patient centric alerts reducing incidents of asthma and sudden burst of the need for acute are and emergency hospital admissions. it will have an analytics platform to analyze data from multiple data sources running AI and machine learning algorithms and is built on technology to provide complete data security and privacy the Airli product development is based on leveraging research engineering core competencies in creating this unique solution.
In Australia, the overall financial cost of asthma is estimated to be $30 billion and also the cost to patients due to the reduced quality of life is around $ 21.5 billion.
Live health data
Airli received a minimum viable product grant from the NSW government to help develop its technology. Govt and CSIRO grants are in the pipeline for further funding of the entire project. Airli is working with a large not for profit asthma organization that intends to put the launch of the commercial product in its calendar.
“Airli brings together deep and diverse domain expertise anchored in geospatial research and technology to solve consumer related health problems through supporting behavioral change and analytics. We are seeking partners to further develop and progress our Airli product and services”
Manage respiratory disease using a smartphone
We provide point of care diagnostic solutions for telehealth that are easily integrated into existing platforms. We are working on apps to provide instant clinical quality diagnostic tests and management tools directly to consumers and healthcare providers in Australia.
Airli App is CE Marked and approved in Australia
Asthma care through mobile application & voice technology
Airli mob app is ready for public
Location based Air Quality
Airli will incorporate an advanced analytics platform to analyze data from multiple data sources: satellites, uav’s, ground systems IoT and many more ubiquitous devises and social media networks. It will use AI, ML algorithms to analyze spatial and time variant data, in order to process and predict the disease triggers including proportion of pollutants, movement of air borne particles and other related data to create targeted solutions for the health risk. the information will be used to push alerts and notifications to the patients care
“Airli unique strengths differentiators and rationale”
Airli is designed with an objective to disrupt, with a paradigm shift from delayed interventional to predictive and personal, from reactive to preventive and from disease to wellness. Airli will proactively provide some relevant highly useful and vital alerts to asthma sufferers. These alerts may also be useful to the healthcare sector stake holders including the gp’s, specialist clinicians and hospitals. These alerts may also be of some salient value for the optimization of their supply chain, particularly in case of likely acute alerts for the events like the thunderstorm asthma
FOUNDER & CEO
Space Engineer - Business Management, Product Management
A serial entrepreneur, have extensive experience in Business Management, Technology Management, Project Management, People Management and IT&T Consulting, dealing with state of art technology in the high demanding space/defense/healthcare industry. He started my space career with ISRO (Indian Space Research Organization) where he was involved in building satellites, Launch Vehicle Integration, Launch campaigns and On Orbit operations. My experience covers various aspects of the industry, ranging from feasibility study, design and development, quality assurance, assembly, integration & test, installation & commissioning, mathematical modelling, software development and simulation, and analysis and interpretation of scientific data. Engaged in project management in a multi disciplinary environment right from principles of science to detailed feasibility study, design and development, prototyping, and successful demonstration in real life in an optimized and most efficient way. He has demonstrated management skills and has proven records of managing complex projects successfully
Dr Connie Katelaris
Prof Aruna Seneviratne
Prof Joseph Davis
ADVISORY TEAM MEMBERS
Mon - Fri: 9am - 6pm
Sat: 10am - 2pm
Why Airli ?
Compliant with the PPPM (Predictive Preventive and Personalized) approach
Compliant with value based and a patient centric approach
Backed up by well rounded expertise in space, biology, AI / ML, advanced data analytics and a conglomeration of other technology assets
Airli is designed to provide 24x7x365 real time data with pixel level accuracy
Being a satellite based system Airli can be easily scaled upon a global scale
Airli use AI/ML algorithms to analyze spatial data, to process and predict disease triggers