Firmware in medical devices is crucial for function and safety. Insecure firmware can cause malfunctions, data breaches, and regulatory problems. Regular updates, encryption, and secure development are key to safeguarding patient health…

Chronic respiratory diseases such as asthma and chronic obstructive pulmonary disease (COPD) affect millions worldwide. Effective management of these conditions is crucial to improving patients’ quality of life and preventing severe exacerbations. One of the essential tools in managing respiratory conditions at home is the peak flow meter.

Respiration is a critical physiological process essential for life, providing oxygen to tissues and removing carbon dioxide. In home care settings, monitoring and managing respiratory health is vital, especially for patients with chronic respiratory conditions, elderly individuals, and those recovering from acute illnesses.

This white paper explores the pivotal role of Artificial Intelligence (AI) and Machine Learning (ML) techniques in analyzing oxygen (O2) and carbon dioxide (CO2) emissions during exercise.

Every day, millions of individuals suffering from chronic pulmonary conditions such as asthma and COPD rely on inhalers. However, research indicates that nearly 90% of these patients face challenges in using their inhalers correctly and lack awareness of their effectiveness.

Pulmonary function test (PFTs) plays a crucial role in assessing respiratory health. These tests measures parameters such as spirometry, lung volumes, and carbon monoxide diffusion capacity (DLCO). However, interpreting PFT results can be challenging due to inter-rater variability among clinicians and potential inaccuracies.