top of page
  • healthcarenewschan

Applied Nanodetectors Ltd


Let’s Do This

Transforming Respiratory Disease Healthcare With Our Point Of Care Breath Platform






Know This First

Predicting Asthma Attacks 3 Days In Advance.

Exhale-Dx™ Asthma Self-Management

Is a next-generation point of care (POC) breath diagnostic platform that combines biomarker detection, lung function measurements and artificial intelligence (AI) algorithms. Our AI algorithms based solution has been shown to predict asthma attacks 3 days in advance.


Diagnostic Guided

Exhale-Dx™: Asthma Diagnostic


Our diagnostic solution includes a device and disease management software to deliver supported self-care programs.

Early results have shown we can identify patients who have asthma.


Data Driven

Provide Healthcare Professionals Actionable Insights


Our Exhale-Dx™ solution connects wirelessly to our cloud based patient management system, that provides healthcare staff with data and alerts, and enables them to early identify patients at risk of deterioration.

Our cloud platform supports the transfer of data to the patient records in a secure and safe manner. This is an end-to-end solution, data collected on the device is sent to the mobile application then to the cloud.


Exhale-Dx™: Asthma Self Management

Applied Nanodetectors research has shown that using our Exhale-Dx™ AI solution we can predict asthma attacks 3 days in advance with high accuracy. Our objective is to extend the time interval to 5 days.


Our solution would include a Exhale-Dx™ device, disease management software, alerts/prompts with an integrated personalized action plan.

Using our solution will empower users to manage their condition more effectively, and improve their quality of life and reduce life-threatening asthma attacks.



Exhale-Dx™: Asthma Diagnostic

The diagnosis of asthma is currently limited, and are based on a mixture of clinical history, physical examination and lung function. To date, there are no accurate objective tests either to confirm the diagnosis or to discriminate between different types of asthma. It has been estimated that more than 30% of people being diagnosed and treated for asthma may have no clear evidence of asthma.

Using our breath test we have shown that we can identify patients with an indication of asthma with high accuracy. We believe that using our breath test will lead to more accurate diagnosis and patients receiving the appropriate treatment.


Video: Smarter home indoor air quality monitoring system

The smarter home indoor air quality monitoring system can detect adverse pollution levels, predict and identify the pollution sources, and provide actionable suggestions to help people improve IAQ.


High-quality sensors measure air pollutants, including carbon dioxide, particulate matter, volatile organic compounds and formaldehyde.


Visualisation of air pollutants using augmented reality (AR) to alert users. Early prediction of pollution spikes using machine learning (AI).


Using this device will lead to a behaviour change and users taking positive action to reduce IAQ that affects their health.


Video: Exhale-Dx™ Sensor array | Applied Nanodetectors Ltd

Sensor array implemented in our point of care platform for self-management and diagnostics.



Awards


APPLIED NANODETECTORS HAS WON THE FOLLOWING AWARDS, DTI GRANT FOR RESEARCH AND DEVELOPMENT, UKTI BUSINESS INNOVATION AWARD IN THE CATEGORY OF INTELLIGENT CONNECTED WORLD, IET INNOVATION AWARD, BUSINESS INNOVATORS COMPETITION IN THE CATEGORY OF BUSINESS WINNER. TSB GRANT AWARD IN THE FIGHTING INFECTION THROUGH DETECTION FUNDING COMPETITION. INNOVATE UK GRANT WINNER INCLUDING BIOMEDICAL CATALYST.


Direct Webiste Link: http://applied-nanodetectors.com/


Contact Details:


Phone: +44 (0) 207 9890117

Email: vhiggs@applied-nanodetectors.com


Address:

Applied Nanodetectors Ltd,

Unit LG02, ScreenWorks,

22 Highbury Grove

N5 2EF

London


#asthma #lungfunction #breathdiagnostic #ai #artificialintelligence #breathing #medicalresearch #asthmadiagnostic #NANODETECTORS #nanotechnology #biomedical #health #healthcare

27 views0 comments
bottom of page