Clinical software · Biomedical data · Medical education · Research tools
Featured systems · Engineering map · GitHub signals · Scientific contributions
I build software at the intersection of medicine, data, automation and education systems.
My work focuses on tools that make complex information easier to retrieve, structure and use: clinical decision support prototypes, oncology regulatory data, biomedical retrieval systems, medical education platforms, bioinformatics utilities and technical books for learning programming through biomedical problems.
|
Independent consultation system for current Colombian hemato-oncology indications derived from INVIMA registrations, UNIRS and UPC funding sources.
|
Experimental Retrieval-Augmented Generation prototype for exploring clinical documents and oncology guidelines with traceable retrieved context.
|
|
Bioinformatics utility for NCBI protein sequence retrieval and motif filtering. Proteios v1.0 was used in published neuropeptide evolution research.
|
Web book about Python algorithms, data structures and computational thinking through biomedical and life-science problems.
|
|
Executable book for learning statistical reasoning through clinical questions, uncertainty, modeling and reproducible evidence.
|
Question-and-answer platform for health professionals, designed around clinical reasoning, specialty classification, distractor logic, structured feedback and progress tracking.
|
Python · JavaScript / TypeScript · React / React Native · SQLite / PostgreSQL · GitHub Actions · Jupyter Book
| Area | What I build | Representative repositories |
|---|---|---|
| Clinical systems | Oncology data, anthropometric visualization and medical education | Indicaciones Vigentes, AIEPI Graficas, CEM Q&A / SIFCEM |
| Retrieval systems | Document exploration and traceable biomedical retrieval workflows | RAG Medicina Oncologica |
| Bioinformatics | Protein sequence retrieval, motif filtering and scientific software documentation | Proteios |
| Books and education | Executable books for computational and statistical reasoning | Materia Medica Digitalis, Statistics with Python, Python por Fragmentos |
| Automation and bots | Community automation, message routing and operational utilities | DISCORD Channels Bot |
| Data analysis | Statistical learning, reproducible pipelines and exploratory tools | Statistics with Python, Control Gastos Diarios |
medicine -> clinical reasoning, oncology, pediatric triage, medical education
software -> Python, JavaScript, local-first tools, data systems, automation
retrieval -> document workflows, traceable search, evaluation-aware prototypes
statistics -> clinical questions, uncertainty, modeling, reproducible evidence
publishing -> web books, scientific documentation, technical learning paths
research tools -> bioinformatics utilities and reproducible computational workflows
Proteios v1.0 was used in published neuropeptide evolution research:
Cadena-Caballero, C. E., Munive-Arguelles, N., Vera-Cala, L. M., et al. APGW/AKH Precursor from Rotifer Brachionus plicatilis and the DNA Loss Model Explain Evolutionary Trends of the Neuropeptide LWamide, APGWamide, RPCH, AKH, ACP, CRZ, and GnRH Families. Journal of Molecular Evolution 91, 882-896 (2023).
- DOI: https://doi.org/10.1007/s00239-023-10146-9
- PubMed: https://pubmed.ncbi.nlm.nih.gov/38102415/
- Repository: https://github.com/Martin-Munive/NCBI-Web-Crawler-Proteios
Listed coinventor in patent family CO2017004500A1 / WO2018203280A1, related to nucleotide mixtures for nucleic acid amplification and sequencing. The patent records list Martin Munive as Nestor Martin Munive Arguelles.
- Documentation repository: https://github.com/Martin-Munive/PATENT_Nucleotide-Mixtures-DNA-RNA-Amplification
- Google Patents: https://patents.google.com/patent/CO2017004500A1/en
- PCT publication: https://patents.google.com/patent/WO2018203280A1/en
I like building systems that are:
- clinically meaningful;
- technically inspectable;
- local-first when privacy or reproducibility matters;
- honest about their current stage;
- useful for learning, research or decision support without replacing expert judgment.