🔬 K R&D Lab — SPHERE I / SCIENCE

Science sphere entry point for K-RnD Lab

Computational approaches to biology, medicine, plant science, ecology, chemistry, cognition, and longitudinal life-pattern research

⚠️ Research use only. All models are experimental and hypothesis-generating.

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🧪 SPHERE I — SCIENCE

This repository is the entry map for SPHERE I — SCIENCE inside K R&D Lab. It first shows the full science structure, and then points to the active or emerging directions inside each lane.

Current science directions

• 🩺 S1 — Biomedical & Oncology
• 🌿 S2 — Plant Science & Phytochemistry
• 🌾 S3 — Agricultural Biology & Biofertilizers
• ⚗️ S4 — Biochemistry & Metabolomics
• 🧠 S5 — Neuroscience & Aging
• 🌍 S6 — Ecology & Environmental Science
• 📚 S7 — K Life OS

SPHERE I — SCIENCE
│
├── 🩺 S1 — Biomedical & Oncology
├── 🌿 S2 — Plant Science & Phytochemistry
├── 🌾 S3 — Agricultural Biology & Biofertilizers
├── ⚗️ S4 — Biochemistry & Metabolomics
├── 🧠 S5 — Neuroscience & Aging
├── 🌍 S6 — Ecology & Environmental Science
└── 📚 S7 — K Life OS

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🩺 S1 — Biomedical & Oncology

Current active concentration

This sphere currently has its strongest active density in S1, including:

• genomics and variant interpretation
• RNA therapeutics
• RNA-directed drug discovery
• nanoparticle delivery
• biomarkers and liquid biopsy logic
• rare cancer frontier studies

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📚 S7 — K Life OS

Life-system science lane

This is the science-facing lane for measurable life systems, cognition, adaptive training, self-tracking, and longitudinal human-pattern research.

Current active lane:

• S7-I · 🔎 Career or Education

Current project:

• R1 - Master Prep Analytics

This means:

• primary scientific home → 📚 S7 — K Life OS
• scientific sub-lane → S7-I · 🔎 Career or Education
• current project → R1 - Master Prep Analytics

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🧭 How to use this repo

• Use the root README as the map of the science sphere.
• Open each folder for its own lane-level README and assets.
• Treat S1 as the strongest active biomedical cluster today.
• Treat S7 as the science-facing home for preparation, learning, life systems, and cognition research.

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⚠️ Disclaimer

All computational models are research-grade and experimental. Results labeled simulated require validation before clinical, pharmaceutical, agricultural, educational, or commercial application.

Built with Python · Gradio · scikit-learn · pandas · matplotlib
© 2026 Oksana Kolisnyk · KOSATIKS GROUP · MIT License