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Teme:
• Sava Marinkovich - Scanz/SkinZ
• Andrija Janidijevid - Wearables i zdravsteno
osiguranje
• Bojan Davinid - Mediately
• Andrej Kravčuk - CUBE Team
FB - Health Tech
Meetup – Health Tech
Serbia
Gender Issue
Obavezna
lektira
Bertalan Mesko
Bertalan Mesko
The Medical
Futurist
Bertalan Mesko
MEKATON
U APRILU
28.-29. APRIL 2018.
Health Tech Meetup #3
22.03.2018. u 18h
ICT Hub
Sava Marinkovich
Health Tech Meetup
February 2018
Health + tech + Serbia
• Acne care pathway is broken. Patients take
up to 2 years before getting proper care and
resolution in UK and Germany.
• Poor advice. 9/10 Pharmacists in the UK give
incorrect guidance on what Over-the-counter
product to use
• No Standard. 25 Different Severity Scales
globally used by dermatologists.
Acne Affects 600m globally but costly
and painful to patients, practitioners,
and hospitaL
• ScanZ helps dermatologists and other practitioners simply and
quickly assess and treat acne.
• Interactive progress tracking motivates patients to find and
stick to the right treatment.
• ScanZ creates large scale data sets to help pharmaceuticals
develop new treatments and therapies for acne and other skin
disease sufferers, as well as to understand patient behaviors
better.
ScanZ is a clinically
validated, easy-to-use
handheld device and e-
health platform that
quantifies acne.
Scanz objectively digitizes a patient’s
lesions and features in addition to
quality of life factors
Today ScanZ
SCAnz solves acne earlier by
moving point of care closer to the
community and patient
partnerships with top hospitals to
clinical validate and publish
papers/healthcare economics, EUR
1.6M Grant
 Berlin,
Germany
 Largest
university
hospital in
Germany/Euro
pe
 Technology
leader
Harrogate, UK
Largest acne practice
in NHS
Standards setter
National Support
(NHS/NIHR)
Double Winner of EU
Horizon 2020 SME
Instrument, Phase I and II
(€1.6M). 3% of applications
granted
Includes regulatory, White
papers, Healthcare
economics
Focus on commercialization
24 month grant (Currently
at M13)
Partners include
Spitzberg Partners LLC
First of its kind data base enables
machine learning/AI to drastically
improve standard clinical outcomes.
• S-3 Dermatologist’s
Guidelines for Treatment of
Acne (2016):
Consensus based and
extracted from limited
clinical trials and subjective
ScanZ gives structured
information based on
continuous data sets
to give advanced
analysis
SCanZ is integrated within NHS’s
architecture to create next gen
digital integration
• ScanZ worked with NIHR
Digital Acceleration team
to create first end-to-end
Digital Clinical platform
including e-consent
• Anonymized data lake
allows researchers to pull
new insights for papers and
future studies
• Makes future studies easier
to launch and scale
• GDPR Compliance
Next steps…
Problem + Team + Tech (Tools) + Environemnt
(Structure)
(ScanZ is also looking for a marketer to join ;-) )
wearables x health insurance
2/22/18
Andrija Janidijevid
Wearable technology, wearables, fashionable
technology, wearable devices, tech togs, or fashion
electronics are smart electronic devices (electronic device
with micro-controllers) that can be worn on the body as
implants or accessories….
Wearable devices such as activity trackers are a good
example of the Internet of Things, since "things" such as
electronics, software, sensors, and connectivity are
effectors that enable objects to exchange data (including
data quality) through the internet with a manufacturer,
operator, and/or other connected devices, without
requiring human intervention.
Apart from commercial uses, wearable technology is
being incorporated into navigation systems, advanced
textiles, and healthcare.
definition
2/22/18 Andrija Janicijevic
2/22/18 Andrija Janicijevic
sport and fitness
2/22/18 Andrija Janicijevic
eurosport
2/22/18 Andrija Janicijevic
definition
2/22/18 Andrija Janicijevic
beginning of the circles
2/22/18 Andrija Janicijevic
carrots
2/22/18 Andrija Janicijevic
results
Industry
Medicine
Employers
Businesses
2/22/18 Andrija Janicijevic
the doctor is you
Many large companies and organizations are beginning to encourage the
use of wearables. Some corporations offer incentives for those who use
wearables and track their fitness. The latest craze is using information
from your wearable to reduce health insurance premiums.
change is already here
2/22/18 Andrija Janicijevic
Switzerland
2/22/18 Andrija Janicijevic
•Patients with metabolic syndrome
•Pre-diabetes
•Type-2 diabetes
Germany
2/22/18 Andrija Janicijevic
United States
2/22/18 Andrija Janicijevic
Srbija
2/22/18 Andrija Janicijevic
Affordable Care Act presently bars insurance companies from
denying coverage to patients with preexisting conditions.
2/22/18 Andrija Janicijevic
the Dark side
Health Tech #2
mag. farm. Bojan Davinid / Mediately
Šta nas čeka u bududnosti zdravstva?
Današnji plan
Evolucija tehnologije
Medicinske informacije na dlanu
Veštačka inteligencija
Razvoj novih lekova
Beba!
Tehnologij
a je
rođena.Tehnologija ima
jako malo uticaja
i upotrebe. Još
uvek smo
radoznali.
1960-te
Malo
veda
beba!
Tehnologija je na
univerzitetima i u
institucijama.
Počinjemo da
obradamo pažnju.
1970-
te
Dete!
Igramo se i
učimo.
Tehnologija ulazi
u domove i
počinje da utiče
na naše
ponašanje.
1980-
te
Tinejdžeri!
Hodemo, a
ne znamo
šta.Tehnologija je
svuda oko nas,
mnogo je
napredovala, i
povezujemo se
globalno.
1990-
te
Odrastamo
, i skroz je
kul.
Instant globalna
komunikacija.
Tehnologija je
eksplodirala.
2000-
te
Dobrodošl
i među
odrasle!
Tehnologija je
upletena u naš
ceo život. Ne
”koristimo” je
ved je sada deo
nas.
2010-
te
Broj korisnika interneta globalno (u milijardama)
1,453 leka je odobreno od FDA do kraja 2013.
Koji je prvi FDA
odobreni lek?
1827
Merck - Mofin
1899
Aspirin
Današnji plan
Evolucija tehnologije
Medicinske informacije na dlanu
Veštačka inteligencija
Razvoj novih lekova
Vodeća zdravstvena IT kompanija u regionu
“Mediately Baza Lekova”
Informacije o lekovima i
cenama lekova
Alati za pomod u radu
Klasifikacija bolesti
110.000
registrovanih korisnika
40,000
lekara
7
država
Baza Lekova u Srbiji
6,659 lekova
30,000
registrovanih korisnika
11,500
lekara
4,000
farmaceuta
Lekari i farmaceuti i ostali zdr. radnici
u Srbiji mesecno koriste Bazu Lekova
350.000x
Svakog minuta 8 zdravstvenih radnika
koristi Bazu Lekova
Mediately RESEARCH
Anketirali smo
1,152 lekara
O prijavama neželjenih reakcija
na lek
Koliko lekara nikada nije prijavilo NRL?
Zašto NE?
Da li se ovaj problem može rešiti?
Pod kojim uslovima bi više prijavljivali NRL?
Koliko treba da traje proces prijave NRL?
Ako u svakom traženju leka uštedimo
1 sekund
= zdravstveni sistem je uštedeo =
350,000 sekundi
5,800 minuta
97 sati
4 dana
Današnji plan
Evolucija tehnologije
Medicinske informacije na dlanu
Veštaĉka inteligencija
Razvoj novih lekova
Upala grlaDan 1
Simptomi upale plućaDan 3
Septiĉki šok, telo u kriziDan 7
TahikardijaDan 6
Intenzivna negaDan 8
Otkazuju bubrezi,
pluća...
Dan 14
SmrtDan 22
Primer:
Gospođa Mani je došla
u ER sa upalom grla.
Ostala je 22 dana.
Mani je primila ispravne
lekove i tretman, ali
prekasno.
Ono što joj se desilo je
sepsa.
Sepsa može da se spreči ako se detektuje rano!
Lekarima je jako teško da je rano otkriju.
Možemo da koristimo velike količine podataka i
machine learning da rešimo ovaj problem.
Promena u zdravstvu je uvođenje digitalnih kartona. Svi vaši podaci se
uzimaju i program analizira i poredi podatke među hiljadama pacijenata.
Ali softer mora da proceni šta znači koji signal u kontekstu ostalih signala.
Dr Suchi Saria
https://suchisaria.jhu.edu
4-7%
POVEĆAN RIZIK
OD SMRTI
1 SAT
ODLAGANJA
TRETMANA
24 SATA
PRE ŠOKA ORGANIZMA
2/3 VIŠE PACIJENATA
PRE OTKAZIVANJA ORGANA
60% POVEĆANJE
UĈINKA OTKRIVANJA
*16,000 pacijenata
1. Do godine 2035 AI de biti na istom nivou
kao ljudi
Do godine 2045 AI de biti inteligentnija od
svih ljudi zajedno
1500 godina
potrebno da se duplira znanje pre n.e.
250 godina
Kad smo počeli da pišemo knjige
25 godina
Razvoj nauke i nova otkrida
8 godina
Rast internet tehnologija
1 godina
“information age”
Mozak više ne može da prati sve ovo,
tako da nam treba pomod AI.
Mozak ima
85.000.000.000
neurona
1%
AI + Machine learning
Današnji plan
Evolucija tehnologije
Medicinske informacije na dlanu
Veštačka inteligencija
Razvoj novih lekova
Od molekula do leka
10-12 godina
2,000,000,000 €
Od molekula do leka
PREDKLINIČKE
STUDIJE
<250 supstanci
3 GOD
3 GOD
TESTIRANJE
MOLEKULA
10,000 supstanci
2 GOD
KLINIČKA
ISPITIVANJA
5 supstanci, 3
faze
2 GOD
ODOBRENJE
FDA, EMA
2 GOD
FAZA 4
Pradenje i
farmakovigelanc
a
AI (BIG DATA, Machine learning) može da se koristi u
razvoju novih lekova*
Cilj je da se deo procesa smanji sa 5 godina na jednu!
5
godina
* $43 million GSK-Exscientia deal shows AI advancing
1
godina
Od molekula do leka – korak napred
PREDKLINIČKE
STUDIJE
<250 supstanci
3 GOD
3 GOD
TESTIRANJE
MOLEKULA
10,000 supstanci
2 GOD
KLINIČKA
ISPITIVANJA
5 supstanci, 3
faze
2 GOD
ODOBRENJE
FDA, EMA
2 GOD
FAZA 4
Pradenje i
farmakovigelanc
a
AI + Machine Learning
Današnji plan
Evolucija tehnologije
Medicinske informacije na dlanu
Veštačka inteligencija
Razvoj novih lekova
Digitalizacija sveta i zdravstva, kao i veštačka
inteligencija doprinose puno!
Pronalazak novih lekova
Rana i preciznija dijagnostika
Kvalitetnije lečenje
Hvala na pažnji
Health Tech Meetup #2
Beograd, 22. II 2018.Andrej Kravčuk
Istorija
20. vek- transformacija
ENI
AC
Bududnost
Andrej Kravčuk
+381 64 11 08 641
a.kravcuk@cubeteam.com
andrejkravcuk@gmail.com
Hvala na pažnji
i
podršci

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Health Tech Meetup #3 recap and future topics

  • 1.
  • 2. Teme: • Sava Marinkovich - Scanz/SkinZ • Andrija Janidijevid - Wearables i zdravsteno osiguranje • Bojan Davinid - Mediately • Andrej Kravčuk - CUBE Team
  • 3. FB - Health Tech Meetup – Health Tech Serbia
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  • 15. Health Tech Meetup #3 22.03.2018. u 18h ICT Hub
  • 16. Sava Marinkovich Health Tech Meetup February 2018
  • 17. Health + tech + Serbia
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  • 21. • Acne care pathway is broken. Patients take up to 2 years before getting proper care and resolution in UK and Germany. • Poor advice. 9/10 Pharmacists in the UK give incorrect guidance on what Over-the-counter product to use • No Standard. 25 Different Severity Scales globally used by dermatologists. Acne Affects 600m globally but costly and painful to patients, practitioners, and hospitaL
  • 22. • ScanZ helps dermatologists and other practitioners simply and quickly assess and treat acne. • Interactive progress tracking motivates patients to find and stick to the right treatment. • ScanZ creates large scale data sets to help pharmaceuticals develop new treatments and therapies for acne and other skin disease sufferers, as well as to understand patient behaviors better. ScanZ is a clinically validated, easy-to-use handheld device and e- health platform that quantifies acne.
  • 23. Scanz objectively digitizes a patient’s lesions and features in addition to quality of life factors Today ScanZ
  • 24. SCAnz solves acne earlier by moving point of care closer to the community and patient
  • 25. partnerships with top hospitals to clinical validate and publish papers/healthcare economics, EUR 1.6M Grant  Berlin, Germany  Largest university hospital in Germany/Euro pe  Technology leader Harrogate, UK Largest acne practice in NHS Standards setter National Support (NHS/NIHR) Double Winner of EU Horizon 2020 SME Instrument, Phase I and II (€1.6M). 3% of applications granted Includes regulatory, White papers, Healthcare economics Focus on commercialization 24 month grant (Currently at M13) Partners include Spitzberg Partners LLC
  • 26. First of its kind data base enables machine learning/AI to drastically improve standard clinical outcomes. • S-3 Dermatologist’s Guidelines for Treatment of Acne (2016): Consensus based and extracted from limited clinical trials and subjective ScanZ gives structured information based on continuous data sets to give advanced analysis
  • 27. SCanZ is integrated within NHS’s architecture to create next gen digital integration • ScanZ worked with NIHR Digital Acceleration team to create first end-to-end Digital Clinical platform including e-consent • Anonymized data lake allows researchers to pull new insights for papers and future studies • Makes future studies easier to launch and scale • GDPR Compliance
  • 28. Next steps… Problem + Team + Tech (Tools) + Environemnt (Structure) (ScanZ is also looking for a marketer to join ;-) )
  • 29. wearables x health insurance 2/22/18 Andrija Janidijevid
  • 30. Wearable technology, wearables, fashionable technology, wearable devices, tech togs, or fashion electronics are smart electronic devices (electronic device with micro-controllers) that can be worn on the body as implants or accessories…. Wearable devices such as activity trackers are a good example of the Internet of Things, since "things" such as electronics, software, sensors, and connectivity are effectors that enable objects to exchange data (including data quality) through the internet with a manufacturer, operator, and/or other connected devices, without requiring human intervention. Apart from commercial uses, wearable technology is being incorporated into navigation systems, advanced textiles, and healthcare. definition 2/22/18 Andrija Janicijevic
  • 38. Many large companies and organizations are beginning to encourage the use of wearables. Some corporations offer incentives for those who use wearables and track their fitness. The latest craze is using information from your wearable to reduce health insurance premiums. change is already here 2/22/18 Andrija Janicijevic
  • 40. •Patients with metabolic syndrome •Pre-diabetes •Type-2 diabetes Germany 2/22/18 Andrija Janicijevic
  • 43. Affordable Care Act presently bars insurance companies from denying coverage to patients with preexisting conditions. 2/22/18 Andrija Janicijevic the Dark side
  • 44. Health Tech #2 mag. farm. Bojan Davinid / Mediately
  • 45. Šta nas čeka u bududnosti zdravstva?
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  • 48. Današnji plan Evolucija tehnologije Medicinske informacije na dlanu Veštačka inteligencija Razvoj novih lekova
  • 49. Beba! Tehnologij a je rođena.Tehnologija ima jako malo uticaja i upotrebe. Još uvek smo radoznali. 1960-te Malo veda beba! Tehnologija je na univerzitetima i u institucijama. Počinjemo da obradamo pažnju. 1970- te Dete! Igramo se i učimo. Tehnologija ulazi u domove i počinje da utiče na naše ponašanje. 1980- te Tinejdžeri! Hodemo, a ne znamo šta.Tehnologija je svuda oko nas, mnogo je napredovala, i povezujemo se globalno. 1990- te Odrastamo , i skroz je kul. Instant globalna komunikacija. Tehnologija je eksplodirala. 2000- te Dobrodošl i među odrasle! Tehnologija je upletena u naš ceo život. Ne ”koristimo” je ved je sada deo nas. 2010- te
  • 50. Broj korisnika interneta globalno (u milijardama)
  • 51. 1,453 leka je odobreno od FDA do kraja 2013.
  • 52. Koji je prvi FDA odobreni lek? 1827 Merck - Mofin 1899 Aspirin
  • 53. Današnji plan Evolucija tehnologije Medicinske informacije na dlanu Veštačka inteligencija Razvoj novih lekova
  • 54. Vodeća zdravstvena IT kompanija u regionu
  • 55. “Mediately Baza Lekova” Informacije o lekovima i cenama lekova Alati za pomod u radu Klasifikacija bolesti 110.000 registrovanih korisnika 40,000 lekara 7 država
  • 56. Baza Lekova u Srbiji 6,659 lekova 30,000 registrovanih korisnika 11,500 lekara 4,000 farmaceuta
  • 57.
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  • 59. Lekari i farmaceuti i ostali zdr. radnici u Srbiji mesecno koriste Bazu Lekova 350.000x Svakog minuta 8 zdravstvenih radnika koristi Bazu Lekova
  • 60. Mediately RESEARCH Anketirali smo 1,152 lekara O prijavama neželjenih reakcija na lek
  • 61. Koliko lekara nikada nije prijavilo NRL?
  • 63. Da li se ovaj problem može rešiti?
  • 64. Pod kojim uslovima bi više prijavljivali NRL?
  • 65. Koliko treba da traje proces prijave NRL?
  • 66.
  • 67. Ako u svakom traženju leka uštedimo 1 sekund = zdravstveni sistem je uštedeo = 350,000 sekundi 5,800 minuta 97 sati 4 dana
  • 68. Današnji plan Evolucija tehnologije Medicinske informacije na dlanu Veštaĉka inteligencija Razvoj novih lekova
  • 69. Upala grlaDan 1 Simptomi upale plućaDan 3 Septiĉki šok, telo u kriziDan 7 TahikardijaDan 6 Intenzivna negaDan 8 Otkazuju bubrezi, pluća... Dan 14 SmrtDan 22 Primer: Gospođa Mani je došla u ER sa upalom grla. Ostala je 22 dana. Mani je primila ispravne lekove i tretman, ali prekasno. Ono što joj se desilo je sepsa.
  • 70. Sepsa može da se spreči ako se detektuje rano! Lekarima je jako teško da je rano otkriju. Možemo da koristimo velike količine podataka i machine learning da rešimo ovaj problem. Promena u zdravstvu je uvođenje digitalnih kartona. Svi vaši podaci se uzimaju i program analizira i poredi podatke među hiljadama pacijenata. Ali softer mora da proceni šta znači koji signal u kontekstu ostalih signala. Dr Suchi Saria https://suchisaria.jhu.edu
  • 71. 4-7% POVEĆAN RIZIK OD SMRTI 1 SAT ODLAGANJA TRETMANA
  • 72. 24 SATA PRE ŠOKA ORGANIZMA 2/3 VIŠE PACIJENATA PRE OTKAZIVANJA ORGANA 60% POVEĆANJE UĈINKA OTKRIVANJA *16,000 pacijenata
  • 73. 1. Do godine 2035 AI de biti na istom nivou kao ljudi Do godine 2045 AI de biti inteligentnija od svih ljudi zajedno
  • 74. 1500 godina potrebno da se duplira znanje pre n.e. 250 godina Kad smo počeli da pišemo knjige 25 godina Razvoj nauke i nova otkrida 8 godina Rast internet tehnologija 1 godina “information age”
  • 75. Mozak više ne može da prati sve ovo, tako da nam treba pomod AI. Mozak ima 85.000.000.000 neurona
  • 76. 1%
  • 77. AI + Machine learning
  • 78. Današnji plan Evolucija tehnologije Medicinske informacije na dlanu Veštačka inteligencija Razvoj novih lekova
  • 79. Od molekula do leka 10-12 godina 2,000,000,000 €
  • 80. Od molekula do leka PREDKLINIČKE STUDIJE <250 supstanci 3 GOD 3 GOD TESTIRANJE MOLEKULA 10,000 supstanci 2 GOD KLINIČKA ISPITIVANJA 5 supstanci, 3 faze 2 GOD ODOBRENJE FDA, EMA 2 GOD FAZA 4 Pradenje i farmakovigelanc a
  • 81. AI (BIG DATA, Machine learning) može da se koristi u razvoju novih lekova* Cilj je da se deo procesa smanji sa 5 godina na jednu! 5 godina * $43 million GSK-Exscientia deal shows AI advancing 1 godina
  • 82. Od molekula do leka – korak napred PREDKLINIČKE STUDIJE <250 supstanci 3 GOD 3 GOD TESTIRANJE MOLEKULA 10,000 supstanci 2 GOD KLINIČKA ISPITIVANJA 5 supstanci, 3 faze 2 GOD ODOBRENJE FDA, EMA 2 GOD FAZA 4 Pradenje i farmakovigelanc a AI + Machine Learning
  • 83. Današnji plan Evolucija tehnologije Medicinske informacije na dlanu Veštačka inteligencija Razvoj novih lekova
  • 84. Digitalizacija sveta i zdravstva, kao i veštačka inteligencija doprinose puno! Pronalazak novih lekova Rana i preciznija dijagnostika Kvalitetnije lečenje
  • 86. Health Tech Meetup #2 Beograd, 22. II 2018.Andrej Kravčuk
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  • 94. Andrej Kravčuk +381 64 11 08 641 a.kravcuk@cubeteam.com andrejkravcuk@gmail.com