Ai Cancer Biology › Spatial Transcriptomics AI in Cancer Research
Longitudinal Spatial Transcriptomics Analysis of Tumor Evolution Dynamics
This research develops computational methods to analyze temporal changes in spatial transcriptomic data across multiple timepoints to track clonal evolution and microenvironmental remodeling during tumor progression. The work reveals how spatial transcriptomics can identify early signatures of therapeutic resistance and predict evolutionary trajectories of cancer development.
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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal
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