AI-empowered Proteomics Data Analysis

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service@westlakeomics.com
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Westlake Omics delivers efficient data processing and large-scale data prediction through an AI-empowered proteomic data R&D platform. With dozens of AI+ proteomic R&D models, the platform enables comprehensive evaluation of key proteomic properties for further integration into real-world application scenarios. We also integrated AI models into the overall computational biology analysis to significantly improve computational efficiency while maintaining high computational accuracy. We can also design customized AI models for different application scenarios to further improve the performance of predictive models and maximize the benefits of the algorithms.

Accurate, efficient and fast AI algorithms

The platform integrates multiple AI algorithms With a huge, million-scale proteomic database, the platform enables us to continuously study and explore new models. Within days,  the platform can complete model building and realize automated result visualizations for R&D projects.

Customized computing process

An efficient AI+ automated computational process for proteome R&D with a customized R&D workflow from model building to result analysis can be built according to the specific needs of each research.

Project-based management.

This platform is designed for complex clinical R&D processes. It assists researchers in reviewing, sharing and discussing progress records and R&D data in real time, realizing an intelligent, informative and efficient collaborative R&D process that reduces project management costs.

Westlake Omics delivers efficient data processing and large-scale data prediction through an AI-empowered proteomic data R&D platform. With dozens of AI+ proteomic R&D models, the platform enables comprehensive evaluation of key proteomic properties for further integration into real-world application scenarios. We also integrated AI models into the overall computational biology analysis to significantly improve computational efficiency while maintaining high computational accuracy. We can also design customized AI models for different application scenarios to further improve the performance of predictive models and maximize the benefits of the algorithms.

Accurate, efficient and fast AI algorithms

The platform integrates multiple AI algorithms With a huge, million-scale proteomic database, the platform enables us to continuously study and explore new models. Within days,  the platform can complete model building and realize automated result visualizations for R&D projects.

Customized computing process

An efficient AI+ automated computational process for proteome R&D with a customized R&D workflow from model building to result analysis can be built according to the specific needs of each research.

Project-based management.

This platform is designed for complex clinical R&D processes. It assists researchers in reviewing, sharing and discussing progress records and R&D data in real time, realizing an intelligent, informative and efficient collaborative R&D process that reduces project management costs.

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