PCI 3.06.26

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Subsection - Neurodegenerative Diseases

From Depression to Deep-Learning: Leveraging iPSC and AI Platforms for Evidence-Based Depression Treatment

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Essential DMPK Strategies for IND Success

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Subsection - Cell and Gene Therapy

When the Gene Editing Guide is the Drug

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Medical AI startup Synyi raises $15.7 M

Synyi will use the fund to develop medical natural language processing, medical data governance and machine learning.Image credit- flickr.com

Venture capital firm GGV Capital has led a RMB100 million ($15.7 million) series B round in Shanghai-based artificial intelligence-powered medical data solutions provider Synyi. Existing investors including Sequoia Capital China and Zhen Fund also participated in the round.

Synyi will use the fund to develop medical natural language processing, medical data governance and machine learning. While establishing its team and expanding business, Synyi will also explore deeper in the industry standards.

Synyi  focuses on processing  medical data to serve smart medical systems. It uses natural language processing technology to structure and standardize medical related texts, including lexical analysis, syntactic analysis, semantic analysis, structured expression, and standardized mapping.

The firm was founded in 2016 by Zhang Shaodian, who completed his PhD in biomedical informatics from Columbia University.

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