Recommends personalized exercises to patients using Svaas’s proprietary algorithm
Provides real-time guidance and feedback to patients while performing exercises
Accurately measures the angular improvement in the range of motion of patients’ joints with MediaPipe
Enables performance analysis and training insights to improve patient care with BigQuery
Svaas’s MyFlexa app leverages MediaPipe to build an innovative, personalized treatment platform, helping patients to reduce their pain magnitude and frequency and improve their quality of life.
Svaas’s MyFlexa app leverages MediaPipe to build an innovative, personalized treatment platform, helping patients to reduce their pain magnitude and frequency and improve their quality of life.
As part of our focus to provide end-to-end disease management solutions, Svaas is driving digital innovations to solve for unmet needs of patients, improve healthcare access, and provide comprehensive treatment solutions beyond the pill, leading to better outcomes.
Rajdeep Ghosh
Chief Product Technology Officer, Svaas
Approximately 1.7 billion people globally live with musculoskeletal conditions, and general lifestyle changes are only exacerbating the issue. The usual treatment protocol for musculoskeletal pain involves pharmacological therapy with non-steroidal anti-inflammatory drugs, which provide efficient symptomatic relief. Holistic pain management must also involve physiological and psychological components, in addition to pharmacological therapy.
That’s why Svaas developed the MyFlexa app, to add these physiological and psychological aspects to the current pain protocol. By giving patients personalized exercise plans they can follow from the comfort of their home or office, MyFlexa overcomes access challenges and improves patient convenience, leading to better adherence.
“As part of our focus to provide end-to-end disease management solutions, Svaas is driving digital innovations to solve for unmet needs of patients, improve healthcare access, and provide comprehensive treatment solutions beyond the pill, leading to better outcomes,” says Rajdeep Ghosh, Chief Product Technology Officer at Svaas.
To ensure that patients do the prescribed exercises accurately, MyFlexa leverages MediaPipe, under Google AI for developers, a solution that applies customizable AI and machine-learning techniques to applications.
"As part of our focus to provide end-to-end disease management solutions, Svaas is driving digital innovations to solve for unmet needs of patients, improve healthcare access, and provide comprehensive treatment solutions beyond the pill, leading to better outcomes," says Ghosh.
Prescribing precision in every exercise routine
Unlike a regular exercise app, MyFlexa is built to work with healthcare practitioners, and each patient assigned to the app needs to scan a QR code. This ensures safety and suitability of the patients using the app. “MyFlexa is primarily intended for use by people suffering from chronic musculoskeletal pain. Our recommendation algorithm assesses users for their pain profile, existing conditions, and other attributing factors, and then recommends a personalized treatment plan,” says Ghosh.
The app provides exercises for the lower back and neck, and will soon launch a series of exercises targeting knee conditions. With MediaPipe and Pose Landmarker, which is equipped with pose detection models, every exercise is monitored for the angle and rotation to ensure that patients do them correctly. Data is also collected for their healthcare practitioners to review.
“Eventually, this data will help us to continuously improve our exercise recommendation models and enhance the overall product value proposition so that our patients can get better treatment outcomes and pain relief,” says Ghosh.
Currently in a pilot phase, MyFlexa has been rolled out to more than 3,000 patients in Russia, with plans of expanding it to 50,000 patients in 2025. Svaas team is working to expand the current solution to provide personalized exercise plans for various other pain conditions, including arthritis, which is a leading cause of chronic pain, especially among older adults
“These exercise models have to be perfectly tuned to work with a certain amount of efficacy and precision. This is what our team is working in collaboration with Google Cloud data-science team to ensure best in class outcomes are achieved,” says Ghosh.
Another factor that’s crucial for MyFlexa adoption is enabling real-time feedback for patients. Ghosh adds, “We use computer-vision-based digital coaches to continuously assess the range of motions performed by the user using their phone’s camera and give real time feedback on postures and exercise forms enabling them to get better health outcomes.”
These exercise models have to be perfectly tuned to work with a certain amount of efficacy and precision. This is what our team is working in collaboration with Google Cloud data-science team to ensure best in class outcomes are achieved.
Rajdeep Ghosh
Chief Product Technology Officer, Svaas
Simplifying the onboarding experience with natural-language capabilities
Svaas is planning to transition MyFlexa from a traditional form-based interface to a more conversational and interactive one. This change aims to make the onboarding process easier and more natural for patients. Instead of answering a list of questions, patients will be able to verbally share their symptoms and concerns, just like they would with a healthcare practitioner. This approach fosters natural conversations, making the experience more user-friendly that can potentially reduce drop offs during user onboarding.
Driving the future of healthcare with AI
As a Google Cloud customer, Svaas has always had access to Google Cloud support for any of their new innovation initiatives. However, the ease of use of MediaPipe and flawless integration meant that minimal intervention was required from the Google Cloud team.
“Today, there are multiple solution providers who have computer-vision-based services on their cloud platforms. A key reason we decided to go ahead with Google Cloud and its MediaPipe service was the availability of support, which is a critical consideration for any complex solution like this,” says Ghosh.
Today, there are multiple solution providers who have computer-vision-based services on their cloud platforms. A key reason we decided to go ahead with Google Cloud and its MediaPipe service was the availability of support, which is a critical consideration for any complex solution like this.
Rajdeep Ghosh
Chief Product Technology Officer, Svaas
A wholly owned subsidiary of Dr. Reddy's laboratories, Svaas Wellness Ltd. focuses on digital health innovations for end-to-end treatment and health management platforms, improving access and health outcomes for patients.
Industry: Healthcare & Life Sciences
Location: India
Products: Google Cloud, BigQuery, MediaPipe, Dialogflow
