Empowering Omics-based Precision Medicine

with TAIGenomics Solutions

Precision Medicine

Empowering Omics-based

with TAIGenomics Solutions

Multi-omics Analyses Cloud

Multi-omics Analyses Cloud

Explore TAIGenomics

TAIGenomics offers an AI-driven omics data platform that enables healthcare providers and medical researchers to find the next clinical action plan. Our solutions can seamlessly analyze and interpret the experiment or clinical data across different disease areas, including heredity common disease risk, rare disease, and oncology. Partnering with TAIGenomics now to achieve your blueprint about the future of precision medicine.

Efficient omics bioinformatics tool set up & validation

Connecting data and information with AI

Flexible analytics architecture

Link to: Product_QCheck

Accumulate and Validate your omics data quality  with trusted international guidelines.

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Link to: Product_GenDiseak

Assist clinical genomics interpretation in rare disease diagnosis.

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Perform a patient’s absolute risk of common chronic disease.

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Link to: Product_pubmedKB

Discover clinical action plan in real-world knowledge base.

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NewsBlogsPublications
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Taiwan AI Lab partners with Shin Kong Hospital on realizing personalized medicine with QCheck system

2022/3/17
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Taiwan AI Labs Partners With Shin-Kong Hospital for Ensuring Quality in Clinical Application of NGS

2022/3/17
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Taiwan AI Labs partners with National Taiwan University build DockCov2 for COVID-19 soultion discovery

2020/11/1
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Taiwan AI Labs Apply Drug Repurposing in Anti-Covid19 Database

2020/10/21
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AI platform for automatic identification of malaria in CDC-funded challenge

2018/12/3
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Taiwan AI Labs – Polygenic Risk Score (PRS)

2021/12/20
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Taiwan AI Labs – Deep learning for HLA characterization

2021/10/17
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Taiwan AI Labs – AutoML for Genomic AI

2021/10/13
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DockCoV2:a drug database against SARS-CoV-2

2020/10/11
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AI reads Medical Literature “variant2literature”

2019/6/13
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pubmedKB: an interactive web server for exploring biomedical entity relations in the biomedical literature

Nucleic Acids Research

IF 16.971

2022.5.10
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Efficiently predicting vancomycin resistance of Enterococcus faecium from MALDI-TOF MS spectra using a deep learning-based approach.

Frontiers in Microbiology

IF 5.64

2022.4.28 accepted
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ezGeno: An Automatic Model Selection Package for Genomic Data Analysis

Bioinformatics

IF 6.937

2022.1.1
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Connecting MHC-I-binding motifs with HLA alleles via deep learning

Communcations Biology

IF 6.268

2021.10.18
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DockCoV2: a drug database against SARS-CoV-2

Nucleic Acids Research

IF 16.971

2021.1.8
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1. Use of Standards in FDA Regulatory Oversight of Next Generation Sequencing (NGS)-Based In Vitro Diagnostics (IVDs) Used for Diagnosing Germline Diseases. FDA, Jul. 2016

2. Use of Public Human Genetic Variant Databases to Support Clinical Validity for Next Generation Sequencing (NGS)-Based In Vitro Diagnostics. FDA, Jul. 2016

3. Clinical laboratory standards for next-generation sequencing. ACMG, Sep. 2013.

4. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. ACMG, Mar. 2015.

5. Good laboratory practice for clinical next-generation sequencing informatics pipelines. CDC, Jul. 2015.

6. Guidelines for Validation of Next-Generation Sequencing Based Oncology Panels. AMP/CAP, May. 2017.

7. "Next Generation" Sequencing (NGS) guidelines for somatic genetic variant detection. NYSDOH, Mar. 2015.

8. Guidelines for diagnostic next-generation sequencing. EuroGentest, Oct. 2015.

9. Assuring the Quality of Next-Generation Sequencing in Clinical Laboratory Practice. CDC, Nov. 2012.

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