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AI-based health tech start-up plans to enter India

Based in Boston, plans to launch its services in India soon. Using its proprietary AI technology, it tracks, predicts, and delivers treatments to improve metabolic health outcomes., a health tech startup that began its journey at Harvard, says its in-house technology will help improve clinical decision-making for doctors in managing their patients’ metabolic health.

To launch its platform in India and Singapore, the startup has started discussions with healthcare providers. To connect hospitals across the country, Ayushman Bharat Digital Mission is used. Through this program, doctors in India may be able to share patient records in a consensual manner.

“We believe this (universal electronic health records framework) will become a reality in five years in India. While we may not be profitable at first or may not have the numbers to gain traction in the market, Amber Nigam, co-founder and CEO of, is excited about the scale we can reach.

The number of type 2 diabetics in India reached 77 million in 2019. The substantial burden of cardiovascular disease and type 2 diabetes is associated with metabolic syndrome in India as one third of adults suffer from this group of diseases.

As long as potential investors support, the platform could launch in India in the coming months. As India’s universal health record system is being built, plans to expand its AI capability through partnerships with hospitals. Currently, only the United States is served by the startup.

The genesis of

While at Harvard’s Health Data Science program, Amber met Jie Sun, its co-founder. They set out to improve people’s metabolic health by focusing on diabetes while exchanging ideas at the crossroads of data science and healthcare.

Amber also personally experienced the disease through her father, who also had type 2 diabetes.

Their company was launched in 2020 by the co-founders.

Several competitions have been won by At the MIT 100K Accelerate event, the co-founders won first place. Harvard Innovation Lab and MIT also gave them grants.

A world-renowned diabetes research center also became the startup’s first client. This 5-year contract will bring more than one million dollars.

The agreement allows to monitor and intervene in diabetes, kidney disease and cardiovascular disease in collaboration with the diabetes center. As part of its collaboration with the research center, the company is working on a range of issues related to diabetes.

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The proprietary artificial intelligence technology of

The system tracks patient health using three primary data sources: historical health data, meter-derived glucose levels, other device-derived health metrics, and user. Since users tend to be biased when feeding their data, the last source is the least important for the platform.

A patent application for the AI ​​technology has been filed by the health tech startup.

Using the combination of EHR data and health metrics collected through user devices, the startup analyzes risk profiles, summarizes information for doctors, recommends tests, and predicts/suggests disease management strategies.

The electronic health record (EHR) contains information about the patients we analyze. After extracting this information, we classify patients into different risk categories based on the patterns found,” she says.

By analyzing the risk profiles of each user, Basys.AI determines the types of diagnostic tests they should undergo, as well as their frequency.

The platform, for example, suggests whether an individual should have a diabetic retinopathy test every three months, every six months, or an annual test if they have diabetic retinopathy (a complication that affects the eye).

In other words, let’s say a person with diabetes has diabetic neuropathy as a result of diabetes or diabetic nephropathy as a result of diabetes. Using the platform, doctors can determine whether patients should undergo additional tests such as electrocardiograms (ECGs) or kidney function tests, as diabetes can damage internal organs.

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How the platform works

Providers/doctors and patients use the startup’s platform. Doctors are currently at the heart of the startup.

By displaying patient information on the dashboard, Amber says doctors can see past and current health status and recommended next steps.

On average, doctors spend 15-20 minutes scanning patient records, diagnosing problems, and creating treatment plans.

It takes little time for physicians to interpret data (from EHRs). It’s a messy notebook with multiple tabs, so doctors have to navigate multiple tabs to find a patient’s information. As a result, they might take shortcuts in scanning information, which is harmful to the patient. »

Through the use of artificial intelligence, provides a summary of a patient’s health as well as practical recommendations for doctors.

Currently, patients are not required to use the platform. They can synchronize their glucometer once registered on the platform. A platform would automatically store all the information collected in the past. Connected watches can also be synchronized with the platform by users.

The platform collects additional information regarding an individual’s metabolic health in addition to glucose levels. For those using the device to monitor these metrics using the platform, this will also include blood pressure, heart rate, physical activity, calories burned, resting heart rate levels and rate variability. cardiac.

To determine whether or not the diabetic’s condition is improving, the platform uses this information.

Glucose levels can be entered manually by those who do not use a glucose monitoring device.

The platform was designed for doctors to recommend it to patients by placing it at the top of the list of suppliers. Patients and their families download it and use it when doctors recommend it,” says Amber. The B2C (business to consumer) platform is also being considered by the startup.

Hospitals would benefit from by increasing revenue and reducing costs. According to him, hospitals receive higher insurance payments if they improve patient treatment outcomes within a value-based healthcare delivery model.

By using the fee-for-service model, physicians could treat more patients in a given time since they are paid for each service they provide.

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The road ahead

The startup is exploring mental health alongside its B2C platform for patients in the United States.

Mental health is the next step for us. There is still a long way to go. Amber describes it as a game different from metabolic health. Similar partnerships are also being discussed with a few hospitals in the United States.

In addition to the grants and contest money they won, Amber and Jie saved up for their startup. developers are in the process of raising seed capital from some investors. The Healthtech startup aims to achieve international clinical validation by evolving its customers and products.

edited and proofread by nikita sharma