We present Pre²Med X-Portal, is a self-learning predictive and precision medicine framework for intelligent drug response prediction. Built upon our
proprietary scPharm algorithm and integrated with a suite of established methods, the platform provides a unified
environment for comprehensive and accurate evaluation of therapeutic efficacy across diverse data types. It enables drug
response prediction at both single-cell and bulk transcriptomic levels, as well as immunotherapy outcome estimation. By
combining standardized data processing, multi-model prediction, and interpretable result reporting, Pre²Med X-Portal
offers a one-stop solution for translational research and precision treatment. In future iterations, the system will
evolve into a dynamic, self-optimizing intelligence framework that continuously learns from new data to enhance
predictive accuracy and therapeutic decision-making.
scRNA-seq
Single-cell RNA sequencing technology enables gene expression analysis at the single-cell level, revealing cellular
heterogeneity and discovering novel cell types.
bulk RNA-seq
Bulk RNA-seq analyzes average gene expression within tissues or cell populations, widely applied in differential
expression analysis and biomarker discovery.
ICB
ICB immune checkpoint blockade analysis evaluates responses to immunotherapy, identifying patients likely to benefit
from immune checkpoint inhibitor treatment.
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