Findability Sciences, Nath School of Business & Technology, and Kamalnayan Bajaj Hospital sign MoU to advance AI-driven healthcare
Findability Sciences Private Limited, Nath School of Business & Technology (NSBT), and MMRI Kamalnayan Bajaj Hospital have signed a tripartite Memorandum of Understanding (MoU). The partnership aims to collaboratively research, develop, test, and deploy AI-driven healthcare solutions across India.
* Clinical decision support
* Diagnostics augmentation
* Predictive analytics
* Operational optimization
* Patient outcomes improvement
* Hospital efficiency
By combining enterprise AI expertise, academic research rigor, and real-world clinical environments, the collaboration seeks to ensure solutions are practical, ethical, and scalable.
Anand Mahurkar, Founder & CEO, Findability Sciences: “Healthcare AI must be built where decisions are made—at the intersection of data, clinicians, and real operational constraints. This collaboration allows us to design and validate AI systems that are not only technically sophisticated, but clinically meaningful, compliant, and ready to scale across India’s healthcare ecosystem.”
* Kamalnayan Bajaj Hospital: Provide clinical expertise, anonymized healthcare data, and testing environments.
* Nath School of Business & Technology: Contribute faculty expertise, research resources, and student participation.
The collaboration aims to bridge the gap between AI research and real-world healthcare deployment, moving beyond pilots to solutions that measurably improve outcomes.
Focus areas of the MoU
The agreement establishes a framework to build and validate advanced AI applications in:* Clinical decision support
* Diagnostics augmentation
* Predictive analytics
* Operational optimization
* Patient outcomes improvement
By combining enterprise AI expertise, academic research rigor, and real-world clinical environments, the collaboration seeks to ensure solutions are practical, ethical, and scalable.
Anand Mahurkar, Founder & CEO, Findability Sciences: “Healthcare AI must be built where decisions are made—at the intersection of data, clinicians, and real operational constraints. This collaboration allows us to design and validate AI systems that are not only technically sophisticated, but clinically meaningful, compliant, and ready to scale across India’s healthcare ecosystem.”
Roles and responsibilities
* Findability Sciences: Lead AI architecture, model development, platforms, and governance.* Kamalnayan Bajaj Hospital: Provide clinical expertise, anonymized healthcare data, and testing environments.
* Nath School of Business & Technology: Contribute faculty expertise, research resources, and student participation.
The collaboration aims to bridge the gap between AI research and real-world healthcare deployment, moving beyond pilots to solutions that measurably improve outcomes.
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