Salcit – Revolutionalizing Respiratory Healthcare

Revolutionizing Respiratory
Healthcare

Simplified Assessments

Remote assessment of critical data like symptoms, temperature, oxygen saturation using a smartphone.

Cough Analysis

Audiometric analysis of cough sounds with critical data from assessments to monitor and assess lung health.

Instant Results

Audiometric analysis of cough sounds with critical data from assessments to monitor and assess lung health.

ABOUT US

A TOUCH OF CARE AND A TOUCH TOWARDS LONGER LIFE

Swaasa is driven by patented AI technology that assesses respiratory health through audiometric analysis of cough sounds in conjunction with critical data from an individual’s temperature, oxygen saturation, existing medical history, past activity, and other symptoms.
This AI is an ensemble of advanced machine learning models working together to generate instant insights about respiratory health, indicative patterns, and severity of the condition if any.

Salcit is recognised for its impact on community health and awarded a grant by Department of Biotechnology, Government of India

OUR VISION

Be the leader in providing digital health solutions for respiratory diseases

OUR MISSION

At the heart of the solution is a patented ML model that allows us to bring the functionality of spirometry unbounded by time, space, specialized equipment and trained professionals. This core ability allows the solution to be rapidly deployed at scale to screen and surveil.

EXPERTS SPEAK

Trusted By the Best In The Industry

Screening for chronic respiratory diseases is an unmet need as due to limited human expertise and lab facilities, it is not possible to do pulmonary function tests at primary care level centres. Any technology / tool which can facilitate screening and identify whether the problem is attributed to airway or lung parenchyma/pleura will be a highly useful value proposition for the appropriate next intervention. Swaasa tool developed by Salcit Technologies addresses this need, the timing is right to validate and introduce such technologies in the country.

Dr. Anand Krishnan, MD, PhD.

Professor, Centre for Community Medicine - All India Institute of Medical Sciences

As a case-study by Salcit on application of machine learning and AI on continuous monitoring of respiratory sounds helps in getting to know the lung condition. For instance, Sound records on lung collapse will be useful information (ahead of X-ray), especially when the intensities are very low or sounds are absent. Temporal analysis on change in sound pattern helps in managing the disease condition. Similarly, exceptional cases are likely to be very meaningful such as silence and ILD pattern for early detection.

Dr. Sai Praveen Haranath

Pulmonologist - Apollo Hospitals