Powered by GPT-4o · Fisher's z · Cox / KM

Radiogenomic intelligence
for cohort research

Upload X-rays, CT, MRI and gene expression data. Get publication-grade gene–feature correlations, volcano plots, Kaplan–Meier survival curves, unsupervised phenotype clustering, AI-written insight reports and cross-study meta-analysis — all tied to the studies your lab is running.

7-day free trial · 5 scans · no card required. Paid plans from RM 100/mo.

Cohort insight preview

TLR4 → GLCM Entropy

+0.83
r
6.2e-7
p-value
42
N

Pathway: Innate immunity · TLR signaling

AI summary: TLR4 expression positively correlates with lesion texture heterogeneity, consistent with neutrophil infiltrate. Median-split KM shows worse 12-mo survival in TLR4-high subjects (p=0.014).
9
Analysis modules
35+
Genes in panel
100
Top correlations
GPT-4o
AI insights

Everything in one platform

From scan to manuscript, fully integrated

Every analysis is bound to a Study/Project. Upload once — get correlations, pathway enrichment, survival curves, clusters and an AI insight report in the same workspace.

Cohort radiogenomic correlations

Upload subjects' gene-expression CSVs and compute true cross-cohort Pearson correlations against extracted radiomic features — with significance, FDR and pathway aggregation.

Interactive volcano plot

Every gene-feature pair plotted as r vs −log₁₀(p). Filter by significance, |r| threshold or pathway, then click any point to drill into GeneCards and Reactome.

Pathway enrichment (ORA)

Hypergeometric over-representation with Benjamini-Hochberg FDR on built-in panels — see which pathways the significant correlations cluster into.

Kaplan–Meier survival

Upload subject survival CSVs, stratify by any gene or radiomic feature (median / tertile / quartile) and compute log-rank p-values automatically.

Unsupervised phenotyping

KMeans + PCA on z-scored radiomic + gene matrix reveals subject subtypes with per-cluster top discriminating features and silhouette quality.

GPT-4o cohort insights

A senior-analyst-style markdown report synthesizes correlations, survival and clusters into Key Findings, Pathway Patterns and follow-up hypotheses.

Cross-study meta-analysis

Pool gene-feature correlations across studies via Fisher's z-transform with Cochran's Q + I² heterogeneity. Ready for supplementary methods.

Built for publication

All exports as CSV/JSON/PDF; reproducible methods text; direct GeneCards + Reactome deep links throughout every analysis surface.

Simple, transparent pricing

Pick the tier that fits your lab

Pay monthly in MYR via PayPal. Cancel any time.

All plans are billed in MYR via PayPal. Need a Lab/Institution plan with 10+ seats? Contact us.

From DICOM to discussion section.

Start with the 7-day free trial. No credit card. Five scans to evaluate the full single-scan analysis pipeline. Upgrade in one click when you're ready for cohort analytics.

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