GSC in HUB 오후세션_사례발표 의료 l AI와 블록체인 결합한 의료 기술 혁신 > Speaker : Teppei Nakano, CEO / Namcoin

1. NAM
U LT I M AT E H E A LT H F O R T H E W O R L D

2. Enough !
AI !
Medicine !

3. NAM
3
Biggest
Healthcare
Company?
No Company deliver
AI & IT Softwares to Healthcare.

4. NAM
4
Google
Project on
Health
They do only diagnosis.

5. NAM
5
DIAGNOSIS IS TINY PART OF HEALTH
Treatment and prevention are important. NAM tackles not only
diagnosis but also whole hospital operations.
01
03
CURRENT DATA IS TOO UGLY
In the settings of NO DATA, Google and NAM are the same stage.02
NOT ENOUGH EXPERIMENTATION IN HOSPITALS
NAM has more closer data of patients and already running in
hospitals.
Big Companies Failed
NAM Succeeds

6. NAM
6
NAM Uses
Blockchain& AI
for innovate
Health

7. Flow of Health Data
2022
2021
Doctor
diagnosis
and treat.
Analysis of
data
New Insights
Such as pubs and markers.
Accumulation
Data
Patients come
to hospitals
Data Fabrication
Lack of Data

8. Flow of Health Data
2022
2021
Doctor
diagnosis
and treat.
Analysis of
data
New Insights
Accumulation
Data
Patients come
to hospitals
Use NAM Chain
to verify Raw Data
AI Bot system automatically
supplement datas.

9. NAM 01

10. NAM
NAM Inc. (Nakano AI Medical)
Place: Tokyo, Hong Kong, Ho Chi Minh
Employee: 30 engineers

11. CEO: Teppei Nakano
Born in 1992. In my father's work, I spend my childhood in Silicon Valley, California. After returning to Japan, studying at Keio High School and
Keio University School of Medicine. Since he was in the medical department of Keio University, he worked on machine learning and medical
application, and published numerous research papers. The paper is also adopted at NIPS which is the top conference of machine learning. In
addition, researchers of global artificial intelligence which are valued highly for research contents from government agencies such as receiving
medical consultation on medical IT project from Information Processing Promotion Organization of the Ministry of Economy, Trade and Industry.
Employment History
2012/
7∼8
Researcher intern at the National Institutes of Health
2013/8∼2014/7
Internship at Preferred Infrastructure Co., Ltd. (current:
Preferred Networks), which conducts machine learning
business
2016/6∼
2017/3
Contract outsourcing at Information-technology Promotion
Agency, Ministry of Economy, Trade and Industry under
jurisdiction IPA independent administrative agency
Awards
2014 Keio University School of Medicine Sakaguchi Research Grant Award
2015 Adopted as a scholarship student at Hida Medical Scholarship
2015 Received a student award at Google Deep Mind sponsored NIPS 2015
2015 Adopted as a scholarship at Pigeon Scholarship Foundation, Inc.
2016 Shizuoka Prefecture Fujinomiya City Medical Student Admission for
Funding
2016 Adopted as a creator for unexplored business of information
processing promotion agency IPA jurisdiction jurisdiction Ministry of
Economy, Trade and Industry
2017 Ministry of Economy, Trade and Industry Jurisdiction IPA Information-
technology Promotion Organization Information-technology
Promotion Organization adopted as advanced business (voluntarily
withdrew)
1. Graduated Keio Medical School.
2. Selected Innovative Engineer from Japanese Governments
3. More than 3 Pubs at NIPS/ICML(TOP Conferences of AI)

12. We have passed four papers for the third
consecutive year at a super-famous
international conference where everyone
knows the cutting edge in machine learning
and artificial intelligence.
Project which was entrusted to the medical
reform by the Ministry of Economy, Trade and
Industry. Upon receiving project selection from
unexplored projects, there are many
precedents that it will be a very large project
Award from the Japanese Governments 4 Pubs in NIPS/ICML Various Experiences
We are really Specialized Engineering
Nakano graduates from the medical
department, but also goes internship at a
company named PFI, which is the
predecessor of the artificial intelligence
venture PFN which attracts attention from the
world as well as the American National
Institutes of Health whose national budget is
the largest in the world To have
アメリカ国立科学財団

13. Predictions of the Onset of Disease
Development of new indicator Cancer Early forecast of risk of kidney
failure due to liver cirrhosis from
Prediction of cancer metastasis
ICML Paper NIPS Paper BioMed Journal

14. Expert Reviews

15. Our
Innovation
02

16. NAM
16
02.NAM AI PROJECT
03. NAM CHAIN
01.NAM AI LAB
We create NEW MEDICINE
using nanopore genome sequencer.
The most efficient Medicine
ever using AI.
Expand and Involve everything to medicine
from medicine.

17. NAM
Health Lab
03

18. NAM
18
Current
Health
Old Health
Genome NEVER saves your health so far!
Only visual data diagnose you.

19. NAM
19
ORGANS
PROTEIN
CELL
GENE
LEVELS OF BODY
Current health only sees protein level
not Gene level because of the high
cost sequencing.

20. NAM
20
WHY GENOME SEQUENCE NOT POPULAR IN
HEALTH
EXPENSIVE
Whole genome sequence
costs 2000 USD at least.
SLOW
4 weeks at least
including analysis.
HARD TO
UNDERSTAND
Analysis is hard to understand
even for doctors.

21. NAM
21
Nanopore
Sequencer
Oxford Nanopore systems offer real-time,
scalable, direct DNA sequencing. This can be
performed on the portable MinION device, the
benchtop GridION and the high-thoughput, high-
sample number PromethION. Nanopore
sequencing also offers, for the first time, direct
RNA sequencing, as well as PCR or PCR-free
cDNA sequencing.
CHEAP
1000USD
FAST
24~48 hours
LONG READS
Direct DNA/RNA
Sequencing

22. NAM
22
PREVENTION
DISEASE
Based on genome
sequencing and our
publication paper, we
p r e d i c t v a r i o u s
diseases.
BEAUTY
HEALTH OF
BACTERIAL
FLORA
MORE INFO
Based on balance of
bacteria on your skins,
we solve skin problems
s u c h a s a c n e a n d
moisturizing.
MICROBIOME
Your daily life directs to
your health through
micro biome in guts.
We advice lifestyle
based on micro biome
NAM HEALTH LAB OFFERS

23. NAM
23
Sjogren's
disease
The condition often accompanies other immune
system disorders, such as rheumatoid arthritis and
lupus. In Sjogren's syndrome, the mucous
membranes and moisture-secreting glands of your
eyes and mouth are usually affected first — resulting
in decreased tears and saliva.
F O U N D N E W I N D I C AT O R S !
N E W M E D I C I N E !

24. NAM
24
Skin
problems.
Allergies, irritants, your genetic makeup, and
certain diseases and immune
system problems can cause dermatitis,
hives, and other skin conditions.
P E R S O N A L I Z E D
H E A LT H C U R E

25. NAM
AI Project
04

26. NAM
Not Enough Doctors.
How can we empower the doctors
using our AI technology in
Tokushukai Hospital.
Tokushukai is the biggest group
hospital in Japan.
26
54%
72%
Ishigaki
Island
Tokushukai Ishigakijima Hospital

27. NAM
27
AI
Summarize
Dictator
99% of doctors feel stressed when they write
medical notes to electronic medical records
systems.

28. NAM
28
AI
Questions

29. NAM
29
AI Follower

30. NAM
SecondsperPatient
0
300
600
900
1200
05/20 05/25 05/30 06/05 06/11
30
How much
we empower?
550 seconds to write down patient
information to medical records.
1220 seconds to grasp patients status
outside hospitals.

31. Flow of Health Data
2022
2021
Doctor
diagnosis
and treat.
Analysis of
data
New Insights
Accumulation
Data
Patients come
to hospitals
Use NAM Chain
to verify Raw Data
AI Bot system automatically
supplement datas.

32. NAM
Chain
NAM PAY
NAM CHAIN
OUR AI SYSTEM
04

33. NAM
33
NAM Pay
Easy to pay with NAM,BTC,ETH, and so Manny ICO TOKENs.
Various Services such as Weibo.
NAMQ is given when you hold NAM.
Doctor Q is inside NAM Pay to control everything.

34. NAM
We are the first company to collect
health data from patient using blockchain
apps system.
Why NAM
Uses
Blockchain

35. NAM
Blockchain never guarantee your
security.
It makes immutable.
Our mission is to spread clean raw
data to the world not only hospitals
but also patients.
Electronic Medical Records
with NAM Chain

36. NAM
We are the first company to collect
health data from patient using blockchain
apps system.
Doctor Q &
Blockchain

37. NAM 05

38. NAM
38
02.NAM AI PROJECT
03. NAM CHAIN
01.NAM AI LAB
We create NEW MEDICINE
using nanopore genome sequencer.
The most efficient Medicine
ever using AI.
Expand and Involve everything to medicine
from medicine.

39. The Best
Company?

40. INNOVATION
IN HEALTHCAREM U LT I P U R P O S E K E Y N O T E T E M P L AT E