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Link: Twin Health, which uses AI-based digital twin tech to provide personalized diabetes and metabolic health guidance, raised a $53M Series E at a $950M valuation (Jessica Hagen/Mobi Health News)

Twin Health has developed an AI-enabled digital twin designed to deliver personalized guidance on nutrition, sleep, and activity by analyzing smart device data. This innovative approach focuses on preventing and reversing metabolic diseases such as Type 2 diabetes and obesity.

The startup recently raised $50 million, adding to an earlier $140 million from Series C funding, and plans to expand its reach among health plans and organizations across various sectors.

Jahangir Mohammed, CEO of Twin Health, emphasized the technology's individual focus. "Each member's AI digital twin uses personal biomarker data to offer precise and sustainable health guidance," he noted.

Other players in the digital twin sector include Teton and Unlearn. Teton enhances nursing through AI in Denmark, while Unlearn facilitates smaller, faster clinical trials using digital twins.

With its AI digital twin technology, Twin Health envisions transforming health management. By providing continuous, personalized support, the technology aims to improve health outcomes and reduce healthcare costs.

The evolving market of digital twin technology highlights its potential. As companies like Twin Health advance, the technology's ability to reshape healthcare continues to grow. #

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