Transforming Cardio-Respiratory Healthcare with AI & Wearable Technology

Respiree’s Data-driven Approach to Revolutionising Cardio-Respiratory Monitoring

Respiree’s Data-driven Approach to Revolutionising Cardio-Respiratory Monitoring In partnership with A*STAR, Respiree is pioneering a new era in cardio-respiratory care through innovative AI-powered wearable sensors. By automating the process of respiratory monitoring, Respiree’s advanced devices provide real-time insights into conditions such as chronic obstructive pulmonary disease (COPD), asthma, and heart failure. This collaboration has enabled Respiree to develop an AI platform capable of predicting long-term health risks, empowering healthcare providers to offer earlier interventions and improve patient outcomes. With clinical trials underway in hospitals and expansion into global markets, Respiree is set to transform how cardio-respiratory conditions are managed, both in hospitals and at home.

The objectives

Automating Respiratory Monitoring

This initiative aims to transform the monitoring of cardio-respiratory conditions by automating respiratory rate tracking. By reducing the need for manual checks, Respiree's wearable sensor technology enables continuous, real-time monitoring, ensuring early detection and timely intervention for patients with conditions such as COPD, asthma, and heart failure.

Enhancing Predictive Care with AI

Respiree is developing an AI-based platform to predict long-term adverse cardio-respiratory conditions. Leveraging A*STAR’s expertise, Respiree integrates bio-signal processing with AI to create predictive algorithms that provide healthcare professionals with actionable insights, improving patient care and supporting clinical decision-making.

Scaling Data for Machine Learning Applications

A crucial objective is to build a scalable infrastructure capable of handling large datasets from 50 sites across 12 countries. By preparing DICOM data for machine learning, the project lays the foundation for extensive data analysis and predictive modeling, which are essential for the continuous development of AI-powered cardiovascular solutions.

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The impact

Respiree’s partnership with A*STAR has propelled the company to the forefront of cardio-respiratory care innovation. By leveraging AI and wearable sensor technology, Respiree provides healthcare professionals with real-time respiratory data, enabling earlier interventions and significantly improving patient outcomes for conditions like chronic obstructive pulmonary disease (COPD), asthma, and congestive heart failure. This approach addresses a critical need, as respiratory rate is a key indicator of patient deterioration, yet traditionally relies on manual monitoring.

With the support of A*STAR’s Growing Enterprises through Technology Upgrade (GET-Up) programme, Respiree has rapidly advanced from product development to clinical trials, validating its technology in both local and international settings. This includes successful deployments in Singaporean hospitals and recent clinical validation at Massachusetts General Hospital, presented at the American Thoracic Society meeting. By integrating advanced bio-signal processing and AI, Respiree's platform not only monitors but also predicts long-term cardio-respiratory risks, making it a valuable tool for proactive healthcare.

Respiree's AI-enhanced monitoring system has the potential to transform cardio-respiratory care globally. The company is actively working to expand its reach, deploying remote monitoring solutions in hospitals and homes alike, where patients can receive continuous care. This capability is especially relevant in the post-COVID landscape, where remote healthcare and early intervention have become more important than ever.

As Respiree continues to grow, the impact of its technology extends beyond individual patients to the broader healthcare ecosystem. By enabling more accurate and timely interventions, Respiree’s solutions help reduce hospital readmissions and support better allocation of healthcare resources, ultimately improving the quality of care and patient satisfaction on a larger scale.