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🎓 Education & Learning

Non Tumor Ml Research Plannerv0.1.0

Name: Non Tumor Ml Research Planner
Author: AIPOCH-AI

non-tumor-ml-research-planner

AIPOCH-AI

Generates structured research designs for non-tumor biomedical machine learning studies, focusing on diagnostic models, biomarker discovery, and mechanism an...

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CreatedMar 13, 2026

UpdatedMay 1, 2026

Install & Quick Start

Install via ClawdBot CLI:

clawdbot install AIPOCH-AI/non-tumor-ml-research-planner

Skill Package4 files

📋SKILL.mdmarkdown

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Quality Score

B53/100

Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.

Market Validation2/35

· No tracked installs (may still have manual users)
· 103 downloads (low demand)

Documentation20/25

· SKILL.md present
· Detailed documentation (≥3000 chars)
· Contains usage examples or trigger description
· Detailed summary

Package Completeness6/15

· skillAssets present (3 files)

💡

Usage Guide

Generated Mar 21, 2026

Academic ResearchersBiomedical Data ScientistsClinical Investigatorsintermediate

💡 Application Scenarios

Diagnostic Model for Diabetic Foot Ulcer Using Pyroptosis GenesBiomedical Research

A researcher aims to identify pyroptosis-related biomarkers and build a diagnostic model for diabetic foot ulcer using GEO transcriptomic data. The plan involves DEG analysis, feature selection with LASSO, and validation with an external dataset, targeting a Standard-tier publication.

Immune Infiltration Biomarker Discovery for Lupus NephritisHealthcare Informatics

A bioinformatician seeks to analyze immune cell infiltration in lupus nephritis to discover diagnostic biomarkers. The study combines GEO datasets with machine learning (e.g., RF) for feature selection and includes immune-related gene sets, aiming for an Advanced-tier paper with robust validation.

Multi-Dataset Consensus Study on Heart Failure with FerroptosisAcademic Research

A team plans to investigate ferroptosis mechanisms in heart failure across multiple GEO cohorts to ensure robustness. The workflow includes consensus DEG identification, ML modeling, and network analysis, targeting a Publication+ tier for high-impact journals.

Lite Workflow for CKD Diagnostic Model with Public DataEducation

A student needs a quick-start plan to build a diagnostic model for chronic kidney disease using only public GEO data. The Lite-tier design focuses on basic DEG analysis, simple ML (e.g., SVM), and minimal validation for a skeleton paper draft.

Translational Biomarker Study for Wound Healing with AutophagyClinical Development

A clinical researcher wants to develop translational biomarkers for wound healing by focusing on autophagy-related genes. The study integrates GEO data with regulatory network analysis and emphasizes practical applications, aiming for a Standard or Advanced publication.

💼 Business Models

Subscription-Based Research Planning ServiceRecurring subscription fees

Offer tiered subscription plans (e.g., Lite to Publication+) for academic and industry clients to access structured research designs, with updates for new methodologies and dataset recommendations. Revenue comes from monthly or annual fees.

Consulting for Biomedical StartupsProject-based consulting fees

Provide customized consulting services to startups focusing on non-tumor diseases, helping them design ML-driven biomarker studies for product development (e.g., diagnostic tools). Revenue is generated through project-based contracts.

Educational Workshops and Training ProgramsCourse fees and certification sales

Host workshops and online courses teaching bioinformatics and ML skills for non-tumor research, targeting students and early-career researchers. Revenue streams include course fees, certification charges, and material sales.

💬 Integration Tip

Integrate this skill into existing bioinformatics platforms by automating dataset validation and ML workflow generation, ensuring compatibility with tools like R or Python for seamless adoption.