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Organization Card

🔬 K R&D Lab — Interactive Research Environments

Author: Oksana Kolisnyk · KOSATIKS GROUP

K R&D Lab is organized across three connected spheres:

  • SCIENCE for domain research questions
  • ENTREPRENEURSHIP for opportunity, market, ecosystem, and public-case work
  • TECHNOLOGY for reusable tooling, scoring, dashboards, and infrastructure

Choose your environment

Environment Best for Link
🧪 Learning Playground Simulated exploration, student-friendly demos, safe first-pass testing Launch Playground
🔬 Cancer Research Suite Research-gap discovery, live biomedical lookups, more serious exploration Launch Research Suite
🗂️ GitHub sphere repos Full structure, reports, notebooks, README maps, and study scaffolds Open GitHub org

Both environments are free for academic use.

For commercial licensing or custom deployments, contact: kosatiks.group@gmail.com

Three Research Spheres

Sphere Focus Main repo
🧪 SCIENCE Biology, medicine, plant science, ecology, chemistry, cognition, and longitudinal human-pattern research SPHERE-I-SCIENCE
🚀 ENTREPRENEURSHIP Venture design, market intelligence, ecosystem mapping, and visible public cases SPHERE-II-ENTREPRENEURSHIP
💻 TECHNOLOGY Reusable research tools, reproducibility systems, dashboards, and open infrastructure SPHERE-III-TECHNOLOGY

Science Focus Today

The strongest active density is currently in:

  • S1 Biomedical & Oncology
  • S7 K Life OS

Current S1 conference-aligned expertise includes:

  • nucleic-acid therapeutics
  • bioinformatics and AI in biomedical research
  • biomarkers and molecular diagnostics

Future expansion areas, when they become repeated research programs rather than one-off labels:

  • biologics and antibody engineering
  • gene editing and functional therapeutics
  • cell therapies and translational platforms
  • structural biology and molecular design

How The Layers Work

  • GitHub is the source of truth for study structure, reports, notebooks, and research maps.
  • Hugging Face Spaces provide the interactive app layer.
  • The app layer is periodically mirrored back into GitHub for audit and sync.

Quick Links

Disclaimer

All computational models are research-grade and hypothesis-generating. Simulated outputs, exploratory scores, and interface demos require real validation before scientific, clinical, agricultural, educational, or commercial use.

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