🔬 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.

Scope

This repository maps SPHERE I — SCIENCE inside K R&D Lab. Scientific questions stay here; reusable tooling, scoring systems, and dashboards belong in SPHERE-III-TECHNOLOGY.

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

Science Boundaries

• S1 Biomedical & Oncology
  Computational oncology, RNA therapeutics, delivery systems, biomarkers, and rare-cancer hypotheses.
• S2 Plant Science & Phytochemistry
  Plant-intrinsic biology: phytochemicals, plant metabolites, bioactive compounds, and plant molecular traits.
• S3 Agricultural Biology & Biofertilizers
  Applied agro-biology: soil, rhizosphere, biofertilizers, crop-growth systems, and intervention logic.
• S4 Biochemistry & Metabolomics
  Cross-organism biochemical mechanisms, pathway logic, and metabolomic signatures.
• S5 Neuroscience & Aging
  Neurobiology, cognition, neuroinflammation, aging, and computational vulnerability patterns.
• S6 Ecology & Environmental Science
  Ecosystems, biodiversity, environmental communities, and climate/pollution-linked system effects.
• S7 K Life OS
  Science-facing work on measurable life systems, cognition, adaptive training, self-tracking, and longitudinal human-pattern research.

Conference-Aligned Expertise

The current conference-style expertise map is best treated as an overlay on top of the existing S1 structure rather than a replacement for it.

Conference area	Current home in the lab
Nucleic-acid therapeutics: technologies and applications	S1-B PHYLO-RNA and S1-D PHYLO-LNP
Recombinant proteins and mAb development technologies	Future S1-G if it becomes a repeated line of work
Gene editing technologies and applications in medicine	Future S1-H if it becomes a repeated line of work
Advanced cell therapies	Future S1-I if it becomes a repeated line of work
Bioinformatics and AI in biomedical research	Cross-cutting method layer across S1 and SPHERE-III
Biomarkers and molecular diagnostics	S1-E PHYLO-BIOMARKERS
Other translational research	Cross-cutting umbrella across S1, E, and T
Structural biology	Future S1-J, or part of S1-C when tied to molecular design

Potential future S1 expansion tracks, only if they grow into repeated study series:

• S1-G Biologics & Antibody Engineering
• S1-H Gene Editing & Functional Therapeutics
• S1-I Cell Therapies & Translational Platforms
• S1-J Structural Biology & Molecular Design

Active Concentration Today

🩺 S1 — Biomedical & Oncology

Current active concentration includes:

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

📚 S7 — K Life OS

Current active lane:

• S7-I · 🔎 Career or Education

Current project:

• R1 - Master Prep Analytics

Example Directions Outside S1

• S2: phytochemical atlas, compound-target prioritization, plant stress-response signatures
• S3: rhizosphere microbiome scoring, biofertilizer efficacy modeling, soil-health predictors
• S4: metabolite signature classifier, pathway perturbation maps, enzyme/substrate inference
• S5: neuroinflammation biomarker panels, cognitive aging predictors, vulnerability scoring
• S6: environmental microbiome sentinels, biodiversity stress markers, pollutant-response networks

Primary Sphere And Hybrid Combos

SPHERE-I remains the home sphere for scientific questions, hypotheses, and validation logic. Hybrid combo labels are added only when a study clearly crosses into reusable tooling or translational decision-making:

• S for pure scientific questions and hypothesis work
• S+T for science-facing methods, scoring systems, or reusable analytical tooling
• S+E for translational opportunity framing grounded in a science problem
• S+E+T for work that simultaneously connects domain research, implementation, and venture logic

Hugging Face is treated as an interactive delivery layer for demos and interfaces, not as a separate sphere.

Cross-Sphere Registry

The first shared registry scaffold across SCIENCE, ENTREPRENEURSHIP, and TECHNOLOGY lives in SPHERE-III:

• Study Registry Dashboard Template
• Live Study Registry Space

Source Of Truth

• GitHub repo: research structure, manuscripts, notebooks, data snapshots
• Hugging Face Spaces: interactive demos and app wrappers
• Local spaces/ directory: mirrored copies of the current HF app layer for audit and sync

Deploy Entrypoints

Public app launchers that need ASCII-safe hosted paths live in deploy/.

Current example:

• deploy/k_ecologic_lab.py
  • public wrapper for the K-EcoLOGIC Lab environmental platform
• live app
  • https://k-ecologic-lab.streamlit.app/
  • module pages:
    • Home
    • SortSmart Ukraine
    • Packaging & Sorting Guide
    • Environmental Briefs
    • Sorting Assistant
    • Activist Requests
    • Air & Exposure
    • Water Watch
    • Polluters & Permits
    • Radiation & Risk

Interactive Spaces

The current live app environment is split across these Spaces:

Space	Purpose	Local mirror
Learning Playground	Interactive sandbox for miRNA, siRNA, LNP, flow-corona, and variant-learning tabs	spaces/learning-playground
Cancer Research Suite	Live research-gap exploration, real-data lookups, and research assistant workflows	spaces/cancer-research-suite
PHYLO BRCA2 miRNA Demo	Dedicated BRCA2 miRNA study demo	spaces/phylo-brca2-mirna

More detail is documented in spaces/README.md and docs/hf-space-sync.md.

Repository Layout

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/
|-- spaces/
|   |-- learning-playground/
|   |-- cancer-research-suite/
|   `-- phylo-brca2-mirna/
|-- docs/
|   `-- hf-space-sync.md
`-- tools/
    `-- sync_hf_spaces.ps1

Sync Workflow

When the app layer changes in Hugging Face, refresh the local mirrors with:

powershell -ExecutionPolicy Bypass -File .\tools\sync_hf_spaces.ps1

Recommended workflow:

1. Update research assets in GitHub.
2. Update app/runtime wrappers in the relevant Hugging Face Space.
3. Run the sync script to mirror the current Space state into spaces/.
4. Commit both the research edits and the refreshed mirrors when they should move together.

Citation

If you cite the repository, use the project-level metadata in CITATION.cff.

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