Valuation Models per Ten Digital IP Asset Classes in LPBI Group’s Portfolio of IP
Curator: Aviva Lev-Ari, PhD, RN
The Ten Digital IP Asset Classes in LPBI Group’s Portfolio of IP consist of two IP Asset Types:
Type A of two IP Asset Types
- Trainable/Inference Corpuses (I, II, III, V, X)
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
Type B of two IP Asset Types
- Intangibles (IV, VI, VII, VIII, IX)
Grand Total Portfolio Value
- Type A: x + uplift per itemized factors
- Type B: y + uplift per itemized factors
|
IP Asset Class |
Valuation Components |
Premium Range |
| IP Asset Class I:
Journal: PharmaceuticalIntelligence.com 6,270 scientific articles (70% curations, creative expert opinions. 30% scientific reports). 2.5MM Views, equivalent of $50MM if downloading an article is paid market rate of $30. The Journal’s Knowledge structure called ONTOLOGY is an IP artifact that has merit in his own right for applications that are NOT related to the Proprietary Content to serve as Training data and Inference engine. Respectively,
· Journal’s Content Valuation derived from Actual Views, and · Journal’s Ontology Valuation derived from Dyads and Triads structures: 1. Disease Diagnoses (indications) ->>> Therapeutics (drugs) – No Genomics involvement –Pharmacotherapy 2. Disease Diagnoses (indications) <<<- Therapeutics (drugs) – Genomics involvement –Pharmaco-genomics 3. Disease Diagnoses (indications) ->>> Therapeutics – Genomics involvement – No drugs but corrective intervention such as Gene Editing 4. Gene Disease Diagnoses (indications)
|
· Journal’s Content Valuation derived from Actual Views
$$ · Journal’s Ontology Valuation derived from Dyads and Triads structures architecture of the Ontology $$ |
· Reached 2.5 million views
· >700 Categories of Research in Journal’s Ontology $$ |
| IP Asset Class II: 48 e-Books: English Edition & Spanish Edition.
152,000 pages downloaded under pay-per-view. The largest number of downloads for one e-Publisher (LPBI) https://www.amazon.com/s?k=Aviva+Lev-Ari&i=digital-text&rh=n%3A133140011&ref=nb_sb_noss
|
· e-Books
EN=18; ES=19 $$ · e-Series [bundles] EN=5; ES=5 · Content Valuation derived from Actual Page Downloads · Other e-Books (podcast Library Index Classification0 $$ · Valuation of Editorials in every book and at the e-Series Level N=48 $$ |
LPBI Group – Top One Publisher by page downloads
Scale of Operation N=48
Average book size >1,000 pages Three volumes >2,000pp.
$$ |
| IP Asset Class III: 100 e-Proceedings and 50 Tweet Collections of Top Biotech and Medical Global Conferences, 2013-2025
|
LLM on e-Proceedings Corpus by Topic of Conference: Train a SLM on all proceedings of all conferences on Cancer & Oncology
$$
LLM on Tweet Collections Corpus $$ |
70% of Conferences covered by Aviva in Real Time
· Achieved repeat invitations to serve as Press at marquee Medical and Biotech Conferences 30% of Conferences covered by CSO in Real Time · Because these two Journalist are top scientists the QUALITY of e-Proceedings is very high · Aviva developed a Template system allowing for finalization of the e-Proceeding at END of the Conference – in Real Time $$
|
| IP Asset Class V: ~7,500 Biological Images in our Digital Art Media Gallery, as copyrighted “Prior Art” artifacts that have attributable virtues of NFT but not limited to NFTs.
|
“Prior Art” image corpus
$$ NFTs $$ Videos $$ |
Exclusive Biological Image selection by Domain Knowledge Experts |
| IP Asset Class X: +300 Audio Podcasts: Interviews with Scientific Leaders
https://pharmaceuticalintelligence.com/biomed-audio-podcast-library-lpbi-group/
|
Audio Podcast Library Content for LLM
$$ Index Classification for SLM per Categories in the Classification $$ |
Unique RARE Library |
| IP Asset Class VIII: +9,300 Subscribers to the Journal of 6,270 articles.
|
$$ for Potential introduction of an Annual Subscription model | |
| IP Asset Class IV: Composition of Methods: SOP on How create a Curation, How to Create an electronic Table of Content (eTOC), work flows for e-Proceedings and many more
https://pharmaceuticalintelligence.com/sop-web-stat/
|
If acquirer goals include:
· content creation by same methods these tools are critically important · Curations involving HUMAN interpretation are the foundation for Training Data for AI $$ |
INNOVATOR IN Composition of Methods:
Composition of Methods (COM) – IP Asset Class IV Curator: Aviva Lev-Ari, PhD, RN https://pharmaceuticalintelligence.com/composition-of-methods-com/
$$ |
| IP Asset Class VII: Royalties paid for pages downloaded from e-Books
|
Amazon takes the lion share and keeps all authors at an unjustifiable low % of profit sharing
$$ |
Pay-per-view depressed book sale since it was launched in 2016
· KENP the method for computation of Royalties is based on 200pp. a book · 152,000 pages download Royalties divided by 200pp. as constant in Amazon’s formula yields EQUIVALENCE of 760 book sale $$ |
| IP Asset Class VI: Bios of Experts as Content Creators – Key Opinion Leaders (KOL) recognition
https://pharmaceuticalintelligence.com/knowledge-portals-system-kps/ |
LLM on All BIOS of Top Authors – Corpus of >300 years of Human expertise driving creative Life Sciences content creation
$$ |
· Aviva recruited all
· Aviva kept them contribute on a volunteer basis · Scientists JOINED LPBI Group to work with Aviva who had commissioned them to work on subjects · Aviva as Editor-in-Chief of the Journal developed the ONTOLOGY Thematic Concept Nesting system and commissioned Categories of Research. Expert,Author, Writer (EAWs) contributed categories of Research to the Ontology · Aviva as Editor-in-Chief of the BioMed e-Series Nominated Book Editors, and created all Book Titles and the all 5 e-Series · Aviva led the Sourcing of the Translation to Spanish of the English Edition and Published by herself – the entire Spanish Edition of 19 e-Books · Aviva & CSO trained student INTERNS to perform NLP and Deep Learning on Cancer Volume 1 and on Genomics Volume 2 $$$$
|
| IP Asset Class IX: INTANGIBLES: e-Reputation: +1,200 Endorsements, Testimonials, Notable followers on X.com: Editor-in-Chief Journal American Medical Association (JAMA), Broad Institute @MIT, Big Pharma, 500 CEOs of them 300 in Biotech are 1st connection on LinkedIn, and more indicators | Every indicator in the LINK on left commends a PREMIUM valuation
· +9,000 1st degree connections on LinkedIn, +1200 endorsements, 500 CEOs in 1st degree $$ · Marquee Individuals & Institutions as followers on X.com @AVIVA1950 $$ · Marquee Individuals & Institutions as followers on X.com @Pharma_BI $$ · Testimonials $$ · Nominations & Influencer Status $$
|
Super high Premium Value
Due to excellence on ALL indicators of e-Reputation and e-Recognition
$$ |
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