Database

Startups

Main Industry
Health Care
Main Product/Service
Through DocSun Computation MedLab Ltd.’s platform, individual researchers, large medical institutions, and multinational corporations can utilize their medical data in innovative ways to improve patient care. Our platform partners with healthcare networks to acquire unique and proprietary data sources, enabling our comprehensive healthcare application computing platform to leverage big data algorithms to systematically serve patients worldwide in a more efficient and cost-effective manner. It reduces expenditures on recruiting technical talent by applying novel computer technologies to data collection, thereby facilitating reliable analysis. We support innovative clinical programs through world-class facilities, including exploratory computational medicine research and personalized medicine research.
The content above was translated by Ai
Founded Year
2019
Unified Business No.
83450950
Status
Closed
Number of Employees
0
Total Paid-in Capital
- (NT$)
Location of Company
Taiwan , Hsinchu County
Company names, registration status, legal representatives, founding years, paid-in capital, registered addresses, and other details are sourced from business registration records maintained by Taiwan’s Administration of Commerce, Ministry of Economic Affairs. Exit status includes Emerging Stock Board listings, M&A, and IPOs. Information on overseas expansion is self-reported by startups. Note 1: FINDIT compiles company information from public and other sources for reference and does not serve as a point of contact for the companies listed. Note 2: Some company profiles and product/service descriptions are translated using AI and provided for reference only. In case of discrepancies or ambiguity, the original text prevails.
About the Company
DocSun Computation MedLab Ltd. hopes to collaborate with medical institutions in Taiwan and the Asia-Pacific region to jointly build upon the existing foundation of artificial intelligence, using Asian patients as learning data to establish deep learning models suitable for the Asia-Pacific region, thereby making interpretation results more accurate and enabling their application in precision medicine and preventive healthcare.


The content above was translated by Ai
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