NSTC AI Research Project Funded
We are excited to announce that our crisis-aware medical AI project has been funded by the National Science and Technology Council (NSTC). Learn more here.
Read More →Computational Multidata Junction in Medicine
Advancing precision medicine through integrated data science and computational analysis
Research Highlights
Biomarker Identification
Dr. Chen and colleagues discovered a new mechanism of tumor response to immunotherapy mediated by SIRPα, highlighting the importance of deeply understanding the complexity of tumor cells and their microenvironment interactions in the development of new immunotherapies. This study was published in Cancer Cell (2022) and was selected as one of the important papers of the year by MD Anderson Cancer Center.
Immuno-oncology
Tumor Microenvironment
Precision Medicine
AI Application
Dr. Chen and colleagues developed DrBioRight (Cancer Cell, 2021), the world's first natural language-oriented, AI-driven biomedical data analysis platform. It demonstrated the potential of AI to transform cancer research by easing the analytical load on biologists and bioinformaticians. The success of this work was interviewed and reported by the MD Anderson Newsroom on the MD Anderson Cancer Center website.
AI
NLP
Biomedical Data Analysis
Bioinformatics Tool Development
Dr. Chen was the main developer of the genomic analysis tool, GFF3toolkit, which automates the process of quality control for gene annotation and integrates it into an official gene set for subsequent paper publication, applicable to various genomes. In addition to writing the GFF3toolkit protocol published in the Methods in Molecular Biology series by Springer Nature (Insect Genomics, 2019), Dr. Chen also assisted i5K WorkSpace@NAL and nine insect research teams in widely applying GFF3toolkit to their insect genome research. This tool currently has 75 stars on Github and ranks 3rd among 38 GFF3-related tools (top 8%).
Genome Annotation
Quality Control
Bioinformatics Tools
Latest News
CMJM Lab Website Launched
Welcome to the new CMJM Lab website! Our site provides comprehensive information about our research in computational multidata analysis in medicine, team members, publications, and open-source software tools. Stay tuned for updates on our latest research and opportunities to join the team.
Read More →New Publication in Blood Cancer Discovery
We are pleased to announce our new publication in Blood Cancer Discovery. This work continues our efforts to advance understanding of hematological malignancies through computational approaches, contributing novel insights into blood cancer biology and potential therapeutic strategies.
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