Revolutionising Patient Wellness | Alodeep Sanyal

Alodeep Sanyal | Co-Founder and CEO, LifePlus, Inc

Alodeep is an Indian American Computer Scientist.
He is the Co-Founder and CEO of Life Plus, a wearable health and wellness startup.

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Overview

In this episode of “The Brand Called You,” we delve into the transformative potential of artificial intelligence (AI) and nano-chip technologies in the field of healthcare. From personalised medicine for individuals dealing with pre-diabetes to the integration of AI in doctor-patient interactions, Alodeep Sanyal discusses trends in chip technology, the philosophical considerations of artificial general intelligence (AGI), and the fascinating possibilities of nano-robots within the human body.

[00:08] – About Alodeep Sanyal

Alodeep is an Indian American Computer Scientist.
He is the Co-Founder and CEO of Life Plus, a wearable health and wellness startup.

[13:40] – What is Life Plus?

The focus of Life Plus is to build a platform for every individual who has suffered from chronic illnesses like diabetes or hypertension etc.
Life Plus distinguishes itself by focusing on clinical data backing through partnerships with renowned organisations like the Mayo Clinic and Stanford.
Its wearable device, designed as a medical device, aims to continuously monitor glucose, blood pressure, heart rate, and more.
The emphasis on accuracy, clinical studies, and potential collaboration with established medical tech companies sets it apart.

[16:53] – How does Life Plus plan to compete with consumer tech giants like Apple or Samsung entering the healthcare monitoring space?

We believe in coexistence with the tech giants due to the significant market size.
By operating at a lower price point with a targeted audience, Life Plus aims to remain competitive.
We are also open to discussions with consumer tech companies for potential licensing of its algorithms, which could be integrated into their devices.

[29:08] – What are the future trends in artificial intelligence and machine learning for healthcare?

There is great potential in AI’s application in healthcare, especially in leveraging data for faster and more accurate diagnostics and treatment recommendations.
The ability to process large amounts of medical data through natural language processing and machine learning algorithms can lead to more informed clinical decisions.
The future may also witness the development of AI-specific chips for more efficient healthcare analytics and decision support.

RESOURCES:

You can connect with Alodeep Sanyal: LinkedIn

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