Technology Trend Analysis of R&D Strategy on iPS Cells

Technology Trend Analysis of R&D Strategy on IPS Cells:
CASE STUDY ANALYSING TREND DIFFERENCES BASED ON
PATENTS, ACCADEMIC PAPERS, OR NIH GRANT INFORMATION
Takayoshi Hayashi
LEAD ANALYST
VALUENEX Seminar @
21 September, 2017

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Takayoshi Hayashi
VALUENEX Japan Inc.
Lead Analyst
Self-introduction
n Academic background
Mar. 2013 Waseda University
MS. Eng, Electrical and Electronics Engineering
n Career
Apr. 2013 Nippon Telegraph and Telephone
Researcher on smart grid
Jan. 2015 Recruit
Data analyst on web service
Apr. 2016 VALUENEX
Lead analyst on R&D strategy
n Specializations
• Electric power engineering (Smart grid, renewable energy)
• Machine learning / data science
n Articles / International Conferences
• Hayashi T, Wakao S. “Battery design optimization according to
reversal PV power flow quantity from a distributing substation
bank” Proceedings of 21st international Photovoltaic Science and
Engineering Conference (2011)
• Hayashi T, Wakao S. “Multi-objective design of battery operation
in a photovoltaic system by means of PV output and load power
forecasts” Proceedings of 27th European PV Solar Energy
Conference and Exhibition (2012)
• Hayashi T, Matsuyuki T, Wakao S, Inamori J, and Babasaki T.
“Charge and Discharge Control of Electric Vehicle in PV System
with PV Output and Load Power Forecast Information”
Proceedings of 28th European Photovoltaic Solar Energy
Conference and Exhibition (2013)
• Hayashi T, Shimoo T, Wakao S. “Error Effect of PV Output and
Load Power Forecast on Operation Design of PV System with
Storage Battery” IEEJ Transactions on Power and Energy (2013)
• Hayashi T, Shimoo T, Wakao S.” Error Effect of PV Output and
Load Power Forecast on Operation Design of PV System with
Storage Battery” Electrical Engineering in Japan (2014)
• Hayashi T. “Research and Development Trend Analysis of
Wellbeing AI Using Panoramic View Analytics” AAAI 2017 Spring
Symposium (2017)
VALUENEX ©2017 intellectual innovator 1

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What is VALUENEX?
We are a data analytics company focusing on strategy development and decision guidance, performing 100+
consultation projects per year to leading companies and public institutions, and licensing our analytics platform.

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BIG DATA CLUSTERING VISUALISATION ANALYTICS
What is Panoramic View Analytics?
Proven scientific methods that allow the user to “see and understand” the entirety of large amounts of data rather
than “search and reading” of individual pieces of data.
3
Clustering docs by calculating
similarities among them
Visualization of the similarity
among docs
Original indicators for mining
and insight
Patents / Research Papers / SNS
News / Annual Reports, etc.
VALUENEX ©2017 intellectual innovator

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What is Panoramic View Analytics?
You can get insight for strategy-making by analyzing output (distance, density, white space, distribution, etc.) of the
radar chart.
4
The size of each cluster is
proportional to the number of
documents in it.
The distance between clusters
indicates the similarities between
them.
The axes have no particular meaning.
Each circle is called a cluster.
They contain similar documents.
HIGH DENSITY
LOW DENSITY
TREND LINE
CENTER OF GRAVITY

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Our Services / Today’s Presentations
5
IP section
R/D section
Corporate planning
section
INDUSTRIAL
COMPANY
FINANCIAL
ORGANIZATION
Corporate sales/ CA
M&A
Start-up investment
OTHERS
(CONSULTING)
Consulting (strategy)
Consulting（M&A）
New business development
strategy
R/D strategy
Alliance strategy
Technology due diligence
IP portfolio strategy
Open innovation strategy
Proposal with additional value
BUSINESS / JOB CATEGORY APPLICATION
Takayoshi
Hayashi
Dr. Nakamura
Dr. Liu

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IMPORTANCE OF
TECHNOLOGY INFORMATION ANALYSIS
IN T R OD U C T ION

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Importance of Technology Information Analysis
IP / Technology information analysis can support management / business / R&D / IP strategies.
7
Ref: http://www.jpo.go.jp/shiryou/toushin/nenji/nenpou2004_pdf/honbun/3-1-2.pdf
Business
Strategy
R&D Strategy
Intellectual
Property Strategy
• Utilizing IP/technology information for
making business strategies, such as new
business development, business
collaboration, etc.
• Acquiring rights from view points of attack,
defense, and prevention based on
business strategy.
analyzing one’s technology capabilities and
deciding R&D focus.
selecting partners for R&D collaboration.
• Acquiring rights strategically for
standardization of one’s technology.
• Preliminary survey
• Prior art search (R&D, filing, application for examination, etc.)
• Other company trend survey (Making patent map etc.)
• Acquiring rights (filing patent, trade secret)
• Protection and utilization of rights (own monopoly, license, measures against counterfeit
products and management of technology / know-how in foreign markets)
IP / Technology
Information Analysis
Management
Strategy
Figure: Relationship among 3 types of
management strategies

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Importance of Technology Information Analysis
There are various technology information analyses according R&D and IP cycles.
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Basic / Application
Research
Development
Design
Production
Commercialization
Marketing
Sales
Technology trend analysis
Collection search
Prior art search (Pre-filing search)
Invalidity search
Clearance search, FTO
Technology
assessment
R&D cycle
Technology
Information
Research /
Analysis
Figure: Relationship among IP, R&D and technology information research / analysis
Ref: Atsushi Nozaki: Patent Research and Search Technique (2015) [Japanese]
Creating inventions
Making IP strategy
Protecting inventions
Filing, Rights, Patent portfolio
Utilizing inventions
One’s usage, Licensing
IP cycle

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How do you perform technology information
analyses?
9
Simply reading?
VARIOUS TYPES OF
INFORMATION
• Patents
• Academic papers
• Research grants
• Cloud funding
• Start-up information, etc.
HUGE VOLUMES
• Doc number: thousands ~ millions
• Length: long…

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Volume of Technology Information on
“Stem and iPS cells”
• Volume: Technology information volume on stem / iPS cells is enormous.
• Time: It takes an excessive amount of time to get insight by simply reading.
• Difficulty: It is difficult to classify by keywords, inventors, etc. because there are various research themes.
• Risk: If you set keywords for classification in advance, you may miss new research opportunities.
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* The number of documents including “stem cell” or “ips cell”
Patents Academic papers Research grants
Volume
10,000 (Title, Abstract, Claim)
50,000 (Full text)
245,000 60,000
Source
US application
(DB: PatentSquare)
PubMed NIH
Table: Volume of patents, academic articles, and research grants on Stem / iPS cells*

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Technology Information Features
There are many differences among features of patents, academic papers, and research grants.
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Patents Academic papers Research grants
Overview
Patent is for protecting one’s R&D
achievements and manufacturing / selling
products.
Academic article is for informing others of
one’s R&D achievements. Thus, it is
sometimes not with the intention to sell
achievements as products.
Research grant is for gathering R&D from
organizations. It is published by the funding
organization unlike patent and academic
research.
Player Company > University, Research institution University, Research institution > Company University, Research institution > Company
Sentence characteristics
˚: Patent should be written concretely
because the other engineers must be able to
implement it. However, patent has the legal
and strategic perspectives. Thus, it is
sometimes not easy to read.
˓: Academic article is written for easy reading
because it is intended for the general public.
˓: Research grant is written for easy reading
because it is intended for the general public.
Bibliographic
information
Format ˓: Unified globally (INID) ˚: Depend on the journal ˚: Depend on the funding organization
Classification ˓: Unified globally (IPC) ˚: Depend on the journal ˚: Depend on the funding organization
Citation
˚: Citation by applicant includes arbitrariness.
In the case of citation by examiner,
arbitrariness is small.
˓: Arbitrariness is less than patent. -
Others Number, Inventor, Assignee, Date, etc. Author, Organization, Impact Factor, etc. Researcher, Organization, Earned amount, etc.
Availability
˓: You can get full text easily and free or with
minimal cost because patent is open data, and
there are many database options.
˚: There are many free / paid database
options. You can get “Title” and “Abstract”
easily for free or with minimal cost. Full text
might be expensive. In the case of publication
on web, data processing might be necessary.
˚: Funding organization may provide search
database. However, it depends on the funding
organization. You can get research overviews
and achievements (academic articles, patents,
technical reports, etc.)

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TECHNOLOGY TREND ANALYSIS
ON STEM/iPS CELLS
C A S E S T U D Y

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Technology Development Overview: Patents
There are various R&D areas from stem cells to medicine, disease (cancer) and body repair.
13
Medicine /
Compound
Cancer
Mesenchymal
stem cell
Hair follicle
stem cell
Fat
Hydrogel
Figure: Radar chart of patents
Extracellular
Matrix
Gene
Nuclease
Hematopoietic
cell
Reprogramming
of iPS cell
Oocyte
microRNA
Tooth
Recombination
Human ES cell
NSC
Placenta
Disease
(Cancer)
Body Repair
etc.
Control of
Stem Cells
Research on Cells
Figure: Technology area position
Medicine /
Compound
Plerosis using
scaffold

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Technology Development Overview:
Academic Papers
• Overall structure is similar to patents.
• Compared to patents, cancer stem cell and HSC (hematopoietic stem cell) transplantation areas are
active.
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Neural Stem Cell
Heart
Cancer stem cell
Musculoskeletal
Treatment
Bone regeneration /
Reconstruction
Spermatogonial
stem cell
Mesenchymal stem cell
(Transplant)
Hematopoietic stem cell
(Mouse experiment)
Cornea
SCF
Interleukin
Hematopoietic Stem Cell Transplantation / Graft Versus Host Disease (GVHD)
Body Repair
Cancer
Stem Cells
Control of
Stem Cells
Research on Cells
Mesenchymal stem cell
(Culture)
Transplantation
Therapy (HSC:
Hematopoietic
Stem Cell)
Figure: Radar chart of academic articles Figure: Technology area position
Reprogramming

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Technology Development Overview:
Research Grants
• Overall structure is similar to patents and academic papers.
• There are various areas on diseases and body repair.
15
Fanconi Anemia
Acute Myelogenous
Leukemia
Chronic Myelogenous
Leukemia
GVHD
HIV
β-globin
Liver cell
Education Program
(Noise)
Blood vessel
Heart
Muscle Regeneration
Tendon care
Cartilage
Repair
Myeloid
Stem Cell
HSC
Liver
Disease
Diabetes
Breast Cancer
Glial Tumor
Intestinal Stem Cell
Lung
Generative Cell (Male)
Scalp Hair, Skin
Cornea
Retina
Neuron cell
Alzheimer's disease
Epigenetics
Disease
(Leukemia, HIV,
Diabetes etc.)
Body Repair
(Bone, Heart, Cartilage,
Tendon, Neuron cell,
Retina etc.)
Control of
Stem Cells
Research on Cells
Figure: Radar chart of research grants Figure: Technology area position
Reprogramming

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Technology Development Overview: Summary
• In particular, there is a big difference regarding disease and treatment among the information sources
(Research grants > Academic articles > Patents). These areas were studied in the past, but the effectiveness
was not confirmed. Or, they might be waiting for, or expecting, new fields to emerge.
• In the case of patents, there are several compounds and medicines (mainly used for culturing stem cells).
16
Cell Disease / Treatment Others
Patents
Oocyte, Human ES cell, NSC,
Mesenchymal stem cell, Hair follicle
stem cell, Placenta, Hematopoietic cell,
Adipocyte
Cancer, Tooth, Plerosis using scaffold
Reprogramming, Gene,
Compounds / Medicine
Academic
papers
Hematopoietic cell (Transplant,
Culture), Hematopoietic stem cell,
Neural stem cell, Cancer stem cell
Bone regeneration / reconstruction,
Musculoskeletal treatment, Cornea,
Hematopoietic stem cell transplantation
(GVHD)
Reprogramming, Interleukin, SCF,
etc.
Research
Grants
Liver cell, HSC, Generative cell,
Intestinal stem cell,
Myeloid stem cell, Neuron cell
Fanconi anemia, (Acute, Chronic)
myelogenous leukemia, Liver disease,
Diabetes, Glial tumor, Scalp hair / skin,
Retina, Cornea, Alzheimer‘s disease,
Cartilage repair, Tendon care, Muscle
regeneration, Heart, Blood vessel, HIV,
GVHD
Reprogramming, Epigenetics, etc.
Table: Comparison among insights from information sources

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Time Series Evolution Analysis
• Patents: (1) “Recombination” is active. (2) “Reprogramming of iPS cell” and “Extracellular Matrix” are active.
• Academic papers: (1) “Reprogramming” and “HSC (Hematopoietic stem cell) transplantation” are active. (2) R&D spread to
many areas close to “Cancer stem cell”
• Research grants: (1) “GVHD with HSC (Hematopoietic stem cell) transplantation” and “Diabetes” are active. (2) R&D spread
around areas.
17
(1) Past
(2001 – 2004)
PATENTS ACADEMIC PAPERS RESEARCH GRANTS
Figure: Time series change
Recombination
(HSC) Hematopoietic Stem
Cell Transplantation
Reprogramming GVHD With Hematopoietic
Stem Cell Transplantation
Diabetes
(2) Recent
(2013 – 2017)
Extracellular
Matrix
Reprogramming
of iPS Cell
R&D Areas Spread R&D Areas Spread
Cancer Stem
Cell

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Publisher Analysis
• There is a high number of universities. (Companies usually make up most of the patent ranking in other fields.)
• Californian Universities are top in class of every information source.
• Almost all publishers are North American organizations, but Kyoto University (Japan) appears in Patent and
Academic Papers, as well as A*Star (Singapore) in Patents.
18
Figure: Main publishers of each information source
0 20 40 60 80 100 120 140
Univ of California
IMMUNOMEDICS, INC.
THE GENERAL HOSPITAL CORP.
AGENCY FOR SCI., TECH. &
RES (A-STAR)
KYOTO UNIV.
JOHNS HOPKINS UNIV.
MIT
ANTHROGENESIS CORP.
UNIVERSITY OF MICHIGAN
Univ. of Southern California
0 200 400 600 800 1,000
STANFORD Univ.
BASIC SCIENCES
JOHNS HOPKINS Univ.
Univ. OF PENNSYLVANIA
Univ. OF WASHINGTON
FRED HUTCHINSON CANCER
RESEARCH CENTER
MASSACHUSETTS GENERAL
HOSPITAL
Univ. OF CALIFORNIA LOS
ANGELES
Univ. OF CALIFORNIA, SAN
FRANCISCO
Univ. OF MICHIGAN
0 50 100 150 200
Univ. of California
Stanford Univ.
Kyoto Univ.
Univ. of Washington
Univ. of Toronto
Univ. of Cambridge
Univ. of Michigan
Baylor College of Medicine
Harvard Medical School
Massachusetts General
Hospital
■ - 2012
■ 2013 -
■ - 2012
■ 2013 -
■ - 2012
■ 2013 -

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Publisher Analysis
You can get insight from the differences among publishers by combining various technology information sources.
19
Figure: R&D fields of Kyoto Univ. and Univ. of California
UNIV. OF CALIFORNIA KYOTO UNIV.
Heart
Neural Stem Cell
Spermatogonial
Stem Cell
Reprogramming
Spermatogonial
Stem Cell
Heart
Reprogramming
HSC (Hematopoietic Stem Cell)
Transplantation / GVHD
Musculoskeletal
Treatment
They focus on reprogramming of iPS
cell. Are these fundamental patents?
HIV
Education
Program (Noise)
Alzheimer's
Disease
Reprogramming of iPS cell are few.
However, they file patents widely.
1
2
3
4
n Insights
1. Kyoto Univ. has fundamental patents on
reprograming of iPS cells?
2. In academic articles, you can see R&D fields
that do not appear in the patents landscape.
3. The characteristic field of Kyoto Univ. is “HSC
(Hematopoietic stem cell) transplantation /
GVHD”. The Univ. of California’s is “Neural
stem cell”.
4. Research grants for Univ. of California are
concentrated in HIV and Alzheimer’s disease
fields.

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Growing Area Analysis
• Red squares show growing areas. These are extracted by counting documents in each mesh of the radar.
• The growing areas are different among information sources as shown below.
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Application of
Adipose Stem Cell
Extracellular
Matrix
Scaffold (Manufacturing Method
of Electro Spinning Process)
Cancer Treatment using
Chimeric Antigen Receptor
CRISPR CAS9
Effect of Inorganic
Substances to Cells
(cancer etc.)
Relationship between
Autophagy, Metabolism,
and Cancer
Application of
Hematopoietic Stem
Cells
Clarification
and Repair of
Heart Disease
Utilization and
Control of
Human ES Cell
Reproduction
Signal Transmission
in Retina
Genea Biocells
(relationship with gene)
Leukemia Inhibitory
Factor (LIF)
Reprogramming
of iPS cell
Synthesis of
Hydrogel
Glioblastoma
Multiforme
Figure: Growing areas of each information source

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CONCLUSION

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Conclusion
• Technology information is an important element for strategy development. There are huge volumes and
various kinds, like patents, academic papers, and research grants.
• In this presentation, we went over a macro analysis of R&D trends on “Stem / iPS cells”. The obtained insights
are different among information sources.
• The features of information sources vary. Therefore, you should apply them according to the individual
analyses objectives. For example, research grants are the most basic and patents are the most practical.
Moreover, sentence characteristics and bibliographic information, etc., are different.
• If you want find application fields where your technology can be applied in the near future:
Patent > Academic paper > Research grant
• If you want find novel R&D focuses and application fields in the long term: Research grant >
Academic paper > Patent
• For a data fusion analysis, you can find the next R&D theme and collaborators with the flow below.
22
Panoramic view analytics of
research grant information
• Earned amount from research grant
• Research achievements assessment
from academic papers and patents
of researchers (Impact Factor,
Position and synergy analysis by
panoramic view analytics, etc.）
• Next R&D themes
• Potential collaborators
EXTRACTION OF GROWING AREAS ASSESSMENT OF EACH AREA OUTPUT

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Contact US
Takayoshi Hayashi
Lead Analyst, VALUENEX Japan Inc.
[email protected]
Navigate the Ocean of Big Data
Harness the power of Panoramic View Analytics

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Technology Trend Analysis of R&D Strategy on iPS Cells

Technology Trend Analysis of R&D Strategy on iPS Cells

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