pathak7874/gbm-cart-spatial-model

View on GitHub by @pathak7874

🧬 Model and optimize CAR-T therapy for glioblastoma using advanced spatial fractional reaction-diffusion techniques and tumor microenvironment insights.

What's novel

🧬 Model and optimize CAR-T therapy for glioblastoma using advanced spatial fractional reaction-diffusion techniques and tumor microenvironment insights.

Code Analysis

0 files read · 5 rounds

A computational framework for optimizing CAR-T cell therapy against Glioblastoma using advanced tumor growth models and sensitivity analysis.

Strengths

Highly innovative approach combining Swanson model extensions with clinical validation; strong project structure with clear separation of concerns between modeling, baseline comparison, and statistical analysis.

Weaknesses

Unable to verify code quality due to file access restrictions; no visible test suite or error handling mechanisms in the provided metadata.

Score Breakdown

Innovation

5 (25%)

Craft

26 (35%)

Traction

9 (15%)

Scope

57 (25%)

Signal breakdown

Innovation

Not Fork+1

Code Novelty+2

Concept Novelty+0

Craft

Ci-3

Tests-5

Polish+0

Releases-2

Has License+0

Code Quality+14

Readme Quality+15

Recent Activity+7

Structure Quality+4

Commit Consistency+2

Has Dependency Mgmt+0

Traction

Forks+0

Stars+6

Hn Points+0

Watchers+3

Early Traction+0

Devto Reactions+0

Community Contribs+2

Scope

Commits+5

Languages+5

Subsystems+5

Bloat Penalty+0

Completeness+5

Contributors+6

Authored Files+12

Readme Code Match+3

Architecture Depth+3

Implementation Depth+8

Evidence

Commits

Contributors

Files

Active weeks

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

Forks

License

NOASSERTION