Part 12 – Monetization Schedules for the Hybrid Model, Human & AI:
System 1, System 2, System 3, System 4
SYSTEM #1: Dynamic Intelligence Tokens Exchange [Stock in trade on the Exchange: Journal articles in 4 Domain Knowledge in Healthcare]
SYSTEM #2: Dynamic Image Exchange [Stock in trade on the Exchange: Images (Prior Art)]
SYSTEM #3: Dynamic Podcast Exchange [Stock in trade on the Exchange: Podcasts on Life Sciences Discoveries in the 21st Century]
SYSTEM #4: Dynamic Conference Content Exchange [Stock in trade on the Exchange: e-Proceedings & Tweet Collections Exchange or Dated Speakers & KOLs Quote
Overview
- Four Systems: Tokenized exchanges for Journal articles (4 domains), Images (prior art/NFTs), Podcasts (300+ with eTOCs growth to 3,000), Conference content (150+ e-Proceedings/Tweets).
- Hybrid Model Throughout: Aviva guides Grok for classification/sorting (e.g., 757 categories → 4 domains; image types; podcast augmentation from YouTube).
- Monetization Vision: B2B marketplaces on blockchain-inspired architecture (links to vision/blockchain/NFT pages), trading/licensing with ontology owners, content augmentation for #1 positioning.
- Historical Ties: Charts from 2021 (BurstIQ transactions network, GTO promotion), Phase 6 review.
- Growth Goals: e.g., Podcasts from +300 → 3,000 via subject-matching YouTube URLs; becoming #1 library for Grok training and user traffic.
In Grok words:
This Part 12 is a masterful capstone for COM—turning the executable infrastructure into self-sustaining, network-effect revenue engines. It directly amplifies the Gold Medal probability by showing not just one-time value but ongoing Healthcare Intelligence Hub (HIH) monetization.
SOURCE
https://grok.com/c/554d4ef5-43f6-48a5-bae2-4e133acbd526?rid=91966d17-b51d-4857-bea1-b0d17172d1eb
Chart #1: Transactions Network for the Intelligence tokens
Image Source:
Designed by BurstIQ per Aviva’s specifications, 6/17, 2021
- Review Phase 6 in
https://pharmaceuticalintelligence.com/vision/
Chart #2: Content Promotion Proposal by GTO
Image Source:
Produced by GTO for collaboration between LPBI Group, BurstIQ and GTO
SYSTEM #1: Dynamic Intelligence Tokens Exchange [Stock in trade on the Exchange: Journal articles in 4 Domain Knowledge in Healthcare]
AI in Health – Intelligent Information System for Advanced Queries in the four Domain Knowledge (DK) of Healthcare:
- Pharmaceutical/BioPharma,
- Medical/Diagnosis and Therapeutics,
- Life Sciences/Genomics and
- BioMed/Biotech/Medtech
- AI AGENTS activate Classification of 757 categories of research into above four Domain Knowledge achieved by a Hybrid Model:
>>> Aviva guides Grok
Best Ways to Export All 757 Categories (Name + Post Count + Description/Slug)
Here are the most practical options (from easiest to more advanced):
- Recommended: Install a Free Plugin (Fastest & Cleanest)
- Use WP All Export (free version sufficient for categories) or Admin Columns Pro (has export for Taxonomy tables).
- Steps for WP All Export (most popular & reliable):
- Install & activate “WP All Export” from WordPress.org plugins.
- Go to All Export › New Export.
- Select Taxonomies as the export type.
- Choose Categories (or your custom taxonomy if applicable).
- Drag & drop fields: Name, Slug, Description, Count (post count is included automatically), Parent, etc.
- Export as CSV (opens perfectly in Excel/Google Sheets).
- Run export → downloads all 757 in one file, no pagination needed.
- Alternative free plugin: “WP Export Categories & Taxonomies” (simple XML export, then convert to CSV if needed).
- Manual Screen Export (No Plugin Needed)
- On the categories admin page (Posts > Categories or the taxonomy=category link you shared), enable Screen Options (top right) → increase “Number of items per page” to 999 (max).
- This shows all 757 on one page (avoids 38 pages).
- Use browser select: Click-drag to select the entire table → copy → paste into Excel/Google Sheets (columns like Name, Description, Slug, Count will separate automatically).
- Quick for one-time use.
- Bulk Actions on List Table
- Same page: Check the checkbox to select all (or Shift-click), but “Bulk Actions” only has Edit/Delete—no Export. So not helpful here.
- Advanced (If You Have Hosting Access)
- Use phpMyAdmin (via your host): Export the tables wp_terms, wp_term_taxonomy, wp_term_relationships → join them for a full list with counts. But this requires SQL knowledge.
Once you have the CSV with Category Name + Count, we can easily sort/map them into your four domains (Pharma/BioPharma, Medical/Diagnosis & Therapeutics, Life Sciences/Genomics, BioMed/Biotech/Medtech) → sum articles per domain → create that exact slide you described (e.g., “Grok will train on ~X,XXX articles in Pharmaceutical/BioPharma…”).
>>>> Monetization of multilingual Intelligence Tokens on Blockchain Transactions system architecture for Journal Ontology Entities
- IP Asset Class I: The Journal – 757 Categories of Research
Hybrid made Intelligence Tokens:
A. Train LLM on Four Universes each consists of multiple categories of research AI and Human validated SORTING into
-
- Pharmaceutical/BioPharma,
- Medical/Diagnosis and Therapeutics,
- Life Sciences/Genomics and
- BioMed/Biotech/Medtech
Grok’s Training on Four Domains of Domain-Aware “AI in Health”
Slide Title (Bold, Large, Centered): Grok’s Domain-Aware Training Corpus Four Pillars of Health AI Leadership from LPBI’s 6,275 Expert-Curated Articles
Subtitle: Mapped from Journal Ontology (~740 Categories of Research)
Main Visual/Chart Suggestion: A pie chart or bar chart showing the four domains with article counts (e.g., four segments/bars in health-themed colors: blue for Pharma, green for Medical, purple for Genomics, orange for BioMed). Add Grok/xAI icon in center.
Body Bullets (Hierarchical, Punchy):
-
Grok will train on four specialized fields of domain-aware AI in Health, derived from LPBI’s proprietary journal ontology:
- Pharmaceutical/BioPharma – ~2,200 articles (oncology, pharmacotherapy, drug discovery, pipelines) – Focus: Drug repurposing, target ID, adverse events, regulatory intelligence
- Medical/Diagnosis and Therapeutics – ~1,800 articles (cardiovascular, immunology, precision medicine, diagnostics) – Focus: Differential diagnosis, personalized plans, imaging/pathology interpretation
- Life Sciences/Genomics – ~1,300 articles (mRNA, pharmacogenomics, gene therapy, NGS) – Focus: Variant prioritization, gene–drug–disease triads, synthetic biology
- BioMed/Biotech/Medtech – ~975 articles (emerging tech, conferences, trends: CAR-T, AAV, wearables, devices) – Focus: Innovation scouting, due diligence, trend forecasting
-
Total: 6,275 human expert-curated articles (~740 ontology categories mapped and aggregated) – Each domain >975 articles → Deep, traceable domain knowledge unmatched at scale
-
Grok’s Edge (Callout Box): These four corpuses enable Grok’s competencies in AI-driven causal reasoning—as demonstrated in our 1st joint article—to marvel in discovery of novel biomedical relationships for mankind worldwide.
-
Broader Impact (Inspiring Closing Quote, Bold): “With better health and AI-created abundance on Earth, we can divert resources to space exploration and multi-planetary orbits.”
Footer: Curator: Aviva Lev-Ari, PhD, RN | January 7, 2026 | Live Demo: Oncology Pilot (7.9× uplift) – Link: https://www.linkedin.com/pulse/new-foundation-multimodal-model-healthcare-lpbi-2025-aviva-40h1e
Notes on Article Distribution among 4 DK:
The counts above are reasoned estimates based on known LPBI emphases (heavy in oncology/pharma, cardiovascular/medical, genomics tracks, and conference/biotech coverage), summing to ~6,275. For precise mapping:
- The journal ontology (757 categories) would need to be exported/sorted (e.g., via WP admin or site sitemap).
B. Trade or License with Ontology owners actors AFTER ingestion for LLM
BLOCKCHAIN system design URL
https://pharmaceuticalintelligence.com/blockchain-transactions-network/
LPBI Vision on BLOCKCHAIN Integration Strategy URL
https://pharmaceuticalintelligence.com/vision/
SYSTEM #2: Dynamic Image Exchange [Stock in trade on the Exchange: Images (Prior Art)]
- AI AGENTS activate Classification of >7,000 Biological Images in six Types achieved by the Hybrid Model:
>>>> Aviva guides Grok
IP Asset Class V: Biological Images – Image Type Examples
The entire Media Gallery needs to be classified into types. Below, we feature 6 types by examples:
- Type 1: Analytics
- Type 2: Word Clouds: AI in Medical Text Analysis with NLP
- Type 3: Biological images
- Type 4: People of Note
- Type 5: Cover Pages of Books Published by LPBI Group.
- Type 6: Genomics Research (mRNA) and Drug Activity
Monetization of Images as NFTs on Blockchain Transactions System Architecture for Biological Images
- IP Asset Class V: The Media Gallery
Hybrid Sorting of Existent Media Gallery: Trade with Prior Art actors
Quote: NFT URL
https://pharmaceuticalintelligence.com/nft-redefined-format-of-ip-assets/
SYSTEM #3: Dynamic Podcast Exchange [Stock in trade on the Exchange: Podcasts on Life Sciences Discoveries in the 21st Century]
- AI AGENTS activate Podcast Classification from Podcast Library Index:
300 Podcasts of Scientific Discoveries in Life Sciences.
Electronic Tables of Contents (sTOCs):
21 Chapters and Audio Podcast +300 IDs
Chapter 1: Public Health – 24 Audio Podcasts
17, 33, 39, 48, 63, 76, 78, 81, 90, 103, 108, 161,
196, 204, 205, 222, 230, 233, 249, 259, 273, 276, 277, 301
Chapter 2: Health Care – 18 Audio Podcasts
19, 59, 98, 113, 114, 137, 190, 194, 195, 206, 208, 210, 223,
248, 250, 253, 255, 281, 287
Chapter 3: Historical Perspective: Medicine – 7 Audio Podcasts
20, 21, 50, 129, 131, 133, 274
Chapter 4: Medicine – 19 Audio Podcasts
119, 120, 134, 148, 154, 159, 164, 165, 180, 187, 188, 198,
200, 207, 208, 227, 231, 232, 257
Chapter 5: Precision Medicine – 7 Audio Podcasts
5, 8, 10, 15, 16, 26, 267
Chapter 6: Genomics – 17 Audio Podcasts
4, 117, 121, 122, 156, 175, 183, 189, 197, 201, 226, 234,
239, 266, 272, 288, 293
Chapter 7: Genome Biology – 11 Audio Podcasts
23, 24, 47, 55, 56, 96, 116, 142, 177, 280, 295
Chapter 8: Immunology – 7 Audio Podcasts
138, 162, 192, 213, 228, 260, 286
Chapter 9: Molecular Biology – 16 Audio Podcasts
2, 34, 35, 42, 146, 155, 157, 158, 224, 229, 240, 251,
269, 270, 278, 290
Chapter 10: Molecular Biology & Nobel Prize Winners – 5 Audio Podcasts
40, 212, 215, 217, 289
Chapter 11: Nobel Prize Winners – 22 Audio Podcasts
95, 110, 147, 153, 178, 216, 218, 219, 220, 221, 225, 244,
246, 256, 261, 282, 283, 284, 285, 291, 292, 298
Chapter 12: BioPharma – 17 Audio Podcasts
3, 72, 101, 123, 125, 126, 130, 136, 149, 150, 152, 163,
166, 167, 169, 170, 191
Chapter 13: BioInformatics – 6 Audio Podcasts
7, 27, 109, 127, 168, 202
Chapter 14: Cell Biology – 6 Audio Podcasts
44, 83, 89, 160, 265, 296
Chapter 15: Synthetic Biology – 6 Audio Podcasts
30, 36, 52, 184, 214, 241
Chapter 16: Cancer Biology – 8 Audio Podcasts
9, 12, 14, 22, 37, 80, 179, 297
Chapter 17: Cancer – 35 Audio Podcasts
1, 29, 32, 49, 51, 61, 64, 75, 77, 79, 85, 91, 102, 104,
128, 132, 139, 140, 143, 144, 151, 171, 172, 176, 185,
193, 199, 209, 242, 245, 247, 254, 268, 294, 299
Chapter 18: Cardiovascular – 36 Audio Podcasts
11, 13, 18, 25, 45, 46, 57, 62, 65, 66, 67, 68, 69, 70,
73, 74, 82, 86, 87, 88, 92, 94, 105, 106, 107, 111,
118, 135, 141, 173, 174, 235, 252, 258, 262, 300
Chapter 19: Neuroscience – 10 Audio Podcasts
58, 84, 124, 145, 181, 182, 236, 237, 243, 271
Chapter 20: Academic Institutions – 12 Audio Podcasts
38, 43, 54, 112, 115, 186, 203, 211, 238, 264, 275, 279
Chapter 21: Scientific Publishing – 12 Audio Podcasts
6, 28, 31, 41, 53, 60, 71, 93, 97, 99, 100, 206, 263
Audio Podcasts in Audio e-Book’s Chapters by Author Name, Subject Matter and a WordCloud per Audio Podcast
Appendix 1: Audio Podcast ID in Ascending Order of Publication Date & URL
Appendix 2: Curations on 95 Sources of Research Funding
- Audio Podcast Title
- Chapter Number in e-Book
- Chapter Title in e-Book
- Audio Podcast Subject
Hybrid Model:
Step 1: Use THE Human created Classification in eTOCs for Grok to Train on +300 Podcast scripts AND on the long Editorials & Epilogue by Co-Editors
Step2: Podcast Library Content Augmentation
>>> Aviva guides Grok in Podcast access by eTOCs subjects from same from YouTube to grow original LPBI Group’s Podcast Library of +300:
- a subject matter is a Chapter Title: several Podcasts on SAME topic from YouTube by URL Sharing.
- The Principle in growing +300 Podcasts to 3,000
- Goal: Becoming #1 Podcast Library in Life Sciences for Grok to train on Podcast Scripts on 21 DK: See Chapter Titles, above
- #1 Podcast Library in Life Sciences for Users to come to the Podcast Exchange
– IP Asset Class X – Podcast Library
Monetization of Podcast Library AFTER all Content ingested for LLM
Quote: LPBI BOOK #48: Podcasts Library Index URL
Published on Amazon.com on 12/24/2023
Contributions to Biological Sciences by Scientific Leaders in the 21st Century:
BioMed Audio Podcast Library by LPBI Group 301 Interviews & Discovery Curations
by Dr. Larry H. Bernstein (Author), Dr. Stephen J. Williams (Author), Dr. Aviva Lev-Ari (Author) Format: Kindle Edition
https://www.amazon.com/dp/B0CQXL5MTW
SYSTEM #4: Dynamic Conference Content Exchange [Stock in trade on the Exchange: e-Proceedings & Tweet Collections Exchange or Dated Speakers & KOLs Quote
- AI AGENTS activate the Conferences Records Vault: List of REAL TIME Conferences Press Coverage & List of e-Proceedings & Tweet Collections
Hybrid Model: Use Human created inventory of Life Sciences, Medical, Biotech Conferences
- >100 e-Proceedings
- >50 Tweet Collections
To See all Conferences covered by Aviva
and
To See all Conferences covered by Dr. Williams
To See all e-Proceedings and all Tweet Collections
Monetization of Real Time Conference ONLY written recordings for Text Analysis NLP, LLM on entire Vault – IP Asset Class III: e-Proceedings & Tweet Collections
Hybrid Model:
- Grok to train on 150 ENTRIES after ingestion of contnets
- Content selling to Conference Organizers AFTER all contents ingested
- IP Asset Class III: Real Time Coverage of Top 100 Conferences in Medical, Pharmaceutical and Biotech – e-Proceedings & Tweet Collections
Quote: Press Coverage
- Part 2 – List of Conferences
- Part 3 – e-Proceedings & Tweet Collections
2012pharmaceutical
sjwilliamspa