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MEDHumanity
Who wants to live forever?
Joana Santos Silva
March2019
โ€œ
โ€
It is easy to get a thousand prescriptions,
but hard to get one single remedy.
Chinese Proverb
M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
I N D U S T R Y 4 . 0
CYBER-BIO-PHYSICAL
Industry 4.0
I N D U S T R Y 4 . 0
Tipping Point
2007
iPhone (January 9th, 2007)
VMWare: translation software
Hadoop: storage capacity
GitHub: Open-source writing & collaborating
FB: open to anyone >13 yrs. Old
Twitter
Change.org
Google buys YouTube (2006) and launches Android
Bitcoin: โ€œSatoshi Nakamotoโ€
Amazon releases Kindle
Airbnb
1B internet users
Watson (IBM)
Intel: Non-silicon materials
F U L L D I G I T A L
Eric Teller, CEO of Google X Research & Development Lab
INTRODUCTION TO UBIQUITYRATEOFCHANGE
TEC H N OLOGY
TIME
CULTURAL ANGST
15 YRS. TO ADAPT
CONSTANT โ€œCATCH UPโ€ MODE
CHANGES:
TECHNOLOGICAL
GEOPHYSICIAL
SOCIAL
F A S T A N D F U R I O U S
Primary care physician would need 630 hours/month to keep up with his/her practice.
LEARNING
1950 Medical knowledge and data doubled every 50 years
1980 Medical knowledge and data doubled every 7 years
2010 Medical knowledge and data doubled every 3,5 years
2020 Medical knowledge and data doubled every 0,2 years or 73 days.
Source: Elsevier
Transactions of the American Clinical and Climatological Association
S T R A T E G I C A S S E T S
Asking the right questions is the key to our development.
LEARNABILITY
โ€œTHE ABILITY TO ANSWER
QUESTIONS WILL NOT
DISTINGUISH SOMEONEโ€™S
INTELLIGENCE.
THE ABILITY TO ASK ALL THE
RIGHT QUESTIONS WILL BE
THE MARK OF TRUE GENIUS.โ€
JOHN KELLY
VP OF COGNITIVE SOLUTIONS AT IBM
KNOWLEDGE STOCKS: DEPRECIATE AT AN ACCELERATING RATE
KNOWLEDGE FLOWS: EXPAND AT AN ACCELERATING RATE
T R A N S F O R M A T I V E F O R C E S
IMPACT ON INDUSTRY
Urbanization, ageing, resources and work
C O N S U M E R H E A L T H
HONDAS
Hypertensive, Obese, Non-Compliant, Diabetic, Asthmatic
70% Of healthcare costs
INCREASED DEMAND. 2020 (F) = $1,6T USD
DEMOGRAPHY
INCREASED ACCESS TO HEALTHCARE
DISEASE TYPE: NON-CONTAGIOUS DISEASES
44M DEATHS/YEAR IN 2020
(INCREASE OF 15% VIS A VIS 2010)
More people, More sick people, More long-term treatments, More access
More COSTS and Resources!!!
Source: WHO
C H A N G I N G T H E M A T H
3PS OF HEALTHCARE
Providers:
โ†‘ Demand for services
Strain on resources
Growth vs. Challenges: Mathematical Shock
Patients
โ†‘ Control and Participation
Proactive health decisions
Payers
โ†‘ Costs
Unsustainable System
T R A N S F O R M A T I V E F O R C E S
IMPACT ON INDUSTRY
Cloud, Processing, Data, AI, P2P
A H Y P E R L O O P
Gartner Hype Cycle
TIME TO IMPACT
T H E E Y E O F T H E S T O R M
DIGITAL VORTEX
Combination of surveys and
objective data.
Plotted 12 industries on a
digital vortex.
Industries on the outside are
least affected by digital
disruption.
Those closer to the middle
are most heavily impacted.
Source: IMD + Cisco
Velocity vs. Acceleration / Disruption vs. Displacement
Source: James Riley (data 1990 and earlier), Global Health Observatory, WHO
M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
HOW LONG DO WE LIVE?
Better science makes for
better health.
โ€œ
โ€
The Preston Curve: Life Expectancy vs. Per Capita Income
M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
Chronic diseases cause increasing number of
deaths worldwide.
o Heart Disease and Stroke
o Respiratory Infections and COPD
o Dementia
o Diabetes
MORTALITY AND CAUSES OF DEATH
Source: Global Health Observatory, WHO
M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
YOU PROBABLY WILL BECOME A:
H
O
N
D
A
YPERTENSIVE
BESE
ON-COMPLIANT
IABETIC
STHMATIC
M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
TIPPING POINT
HEALTH TECH
M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
GENETICS:
The Basis for individualized medicine
M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
13
Yearstocomplete
$2,7 B
Cost
$ 1000
Personalgenomesequencing
Takeshoursordaystocomplete
HUMAN GENOME
W I L L Y O U L I V E T O B E 1 3 0 ?
S C I E N C E A N D T E C H
Data is the new oil and Mooreโ€™s Law is the engine
STREGTHENING SCIENTIFIC BASE
In effect, two changes are taking place concurrently.
- Our technologies for collecting biological data are improving by many orders of
magnitude.
- Our technologies for synthesizing and analyzing that data are also becoming much
cheaper and more efficient.
Source: From Vision to Decision Pharma 2020. PWC
D A T A
Volume, Velocity & Variety
BIG DATA AND IOT
2,5MTetrabytes Data created daily
INDIVIDUAL LEVEL: WE CAN TRACE A DETAILED PORTRAIT OF A PATIENTโ€™ S HEALTH
AGGREGATE LEVEL: DEEP RESERVOIRS OF KNOWLEDGE ABOUT ENTIRE DISEA SE
STATES AND PATIENT POPULATIONS.
Source: From Vision to Decision Pharma 2020. PWC
S C I E N C E A N D T E C H
AI and computational power
STRENGTHENING SCIENTIFIC BASE
Prognos (former Medico):
AI company.
Registry of:
5 Billion clinical records
100 M patients,
30 disease areas.
The registry enables earlier identification
of patients who can benefit from enhanced
treatment decision-making, risk
management, and quality improvement
under the HEDIS guidelines.
500 proprietary and learning clinical
algorithms.
23andMe: invite people who use its
testing service to share information
regarding medical history and
lifestyle contributing to genetic
research.
D A T A
Corus CAD test: integrates age, sex and gene expression to calculate a score
BIG DATA AND IOT
โ€œAnywhere interfaceโ€ technologies
Provides JIT information on how
patients respond to different
treatments
Ex. Oxford Nanoporeโ€™s MinION
DNA & RNA sequencer
BIOLOGICAL DATA + ANALYTICAL TOOLS = PERSONALIZED MEDICINE
CardioDX:
Specialized in cardiovascular genomics
R&D company that analyzed over
100M samples to identify
23 markers of coronary artery disease
Fuse genomics, biostatics, cardiology
and primary care
Targeted treatments based on:
o Specific Illness
o Unique Patient
The Basis for Personalized Medicine
MOLECULAR SCISSORS
G E N E T I C S
REMOTE MONITORING:
Generating Data for Health
M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
SELF-LOGGING
o Wearables
o Digital Tattoos
o Smart Clothes
o Smart Pill (Proteus)
o Senosis Health: mobile medical monitoring
device
M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
CARE HUB:
o Personalized Dashboard
of Health indicators
o Network of Connected Care
o Real-time ability to respond
and act
o Remote operations
U B I Q U I T Y
MOBILE HEALTH
Apps and Wearables.
Sources. 2015Across Health Navigator ; IMS 2016
33%
21
%50
%
Of US patients use Health Apps in 2016 (vs. 16%
in 2014)
Use wearables for health purposes.
Of US Millennials agree with the statement
โ€œI want my doctor to use my fitness tracker
and/or health app data.โ€
P L U G G I N G I N
Using mobile ubiquity to facilitate disease management.
MOBILE UBIQUITY
A new reusable glucose-monitoring smartphone case developed by engineers
at the University of California San Diego.
The added benefit is the ability to autonomously store, process, and send blood
glucose readings from the phone to a care provider or cloud service.
The device, called GPhone, is built into a smartphone case with an accompanying
app which lets patients record and track their glucose readings. The 3D-printed
case fits over the smartphone and has a permanent, reusable sensor on the
corner.
Reusable glucose-monitoring smartphone case developed by UC San Diego engineers
E V E R Y B O D Y L I E S
The most important V in data is Value.
DATA AS A TOOL FOR COMPLIANCE
Compliance It is believed that up to 50% of patients with chronic diseases are
noncompliant with medications.
In 2014, it was estimated that medical noncompliance adds between
$100-$300 billion annually in healthcare costs.
Proteus Digital Health have created the worldโ€™s first smart pill with an
ingestible sensor linked to a wearable patch that can record when a pill
is actually taken.
ABILIFY MYCITE is a drug-device combination product comprised of
oral aripiprazole tablets embedded with an Ingestible Event Marker
(IEM) sensor. FDA First Approval: Nov. 13, 2017
A I A N D I M A G I N G
Neural Networks and Data Sets
HEALTHCARE AND MACHINE LEARNING
Machine learning has enormous potential to disrupt healthcare.
Diabetic retinopathy is one of the leading causes of blindness that can be
treated if caught early. One early exemplar of AI in healthcare is the work that
Google (TensorFlow) research team did to classify retinal images to help
expand access and improve quality of care with machine learning solution.
Dermatologist-level classification of skin cancer with deep neural
networks. using a dataset of 129,450 clinical images. Tested its performance
against 21 board-certified dermatologists on biopsy-proven clinical images.
2 critical binary classification use cases:
i) keratinocyte carcinomas versus benign seborrheic keratosis
ii) malignant melanomas versus benign nevi.
https://www.nature.com/articles/nature21056
A I A N D I M A G I N G
The most important V in data is Value.
HEALTHCARE AND MACHINE LEARNING
https://www.nature.com/articles/nature21056
3D PRINTING:
Customized Medicine and Spare Parts
M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
Reprogram Cells
3D bioprinters:
Tissues, Organs, Bones, Prosthetics
Tissue Replacement
Organovo: 1st blood vessels to be bioprinted
R E P L A C E M E N T P A R T S
N E W M A N U F A C T U R I N G
โ€œChemputerโ€: Produce when and where it is needed
3D PRINTING
Chemist Lee Cronin is working on a 3D printer that, instead of objects, is
able to print molecules. An exciting potential long-term application: printing
your own medicine using chemical inks.
Cronin has been awarded a 2018 RSC interdisciplinary prize, in
recognition of his ground-breaking work exploring complex chemical
systems and digitizing chemistry using artificial intelligence.
A new method of drug manufacture which uses 3D printers to create
pharmaceuticals on demand could lead to a โ€˜Spotify for chemistryโ€™.
https://www.ted.com/talks/lee_cronin_print_your_own_medicine
Production of muscle relaxer Baclofen
IMMUNOTHERAPY:
Unleashing our internal potential
M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
CANCER SURVIVAL RATES
1 in 4 1 in 2 3 in 4
M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
DIAGNOSTICS:
Better Outcomes and Efficiency
M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
Using VR for medical training
and or patient satisfaction during
treatment
The ability to see inside the body
in real time with the use of AR
M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
IMAGING
M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
Breathtec
Sensor that โ€œsmellsโ€ Parkinsons,
MS, Crohnโ€™s disease, ulcerative
colitis, IBS, hypertension and
ovarian, kindney & prostate
cancer
SENSORS
Can differentiate a single
hyperactive cancerous cell from
a normal cell.
Simple, noninvasive tool for early
cancer diagnosis
GRAPHENE
M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
ROBOTICS:
Assistance for a better life
M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
o Companion Robots (MIRO)
o Assistive Robots
o Nanotechnology: Repair &
Treat
M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
MACHINES
REGENERATIVE MEDICINE
GENETICS REMOTE MONITORING
ROBOTICS
IMMUNOTHERAPY
DIAGNOSTICS
TECH HEALTH
M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
SICKCARE vs.
HEALTHCARE
M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
Friends and family make for a better life.โ€œ
โ€
SECRET TO LONGEVITY
ESSENCE OF HUMANITY
M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
Joana Santos Silva
jpsantosilva@gmail.com
Linkedin:joana-santos-silva
THANK YOU
M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?

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Health Technology - Who wants to live forever?

  • 1. MEDHumanity Who wants to live forever? Joana Santos Silva March2019
  • 2. โ€œ โ€ It is easy to get a thousand prescriptions, but hard to get one single remedy. Chinese Proverb M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
  • 3. I N D U S T R Y 4 . 0 CYBER-BIO-PHYSICAL Industry 4.0
  • 4. I N D U S T R Y 4 . 0 Tipping Point 2007 iPhone (January 9th, 2007) VMWare: translation software Hadoop: storage capacity GitHub: Open-source writing & collaborating FB: open to anyone >13 yrs. Old Twitter Change.org Google buys YouTube (2006) and launches Android Bitcoin: โ€œSatoshi Nakamotoโ€ Amazon releases Kindle Airbnb 1B internet users Watson (IBM) Intel: Non-silicon materials
  • 5. F U L L D I G I T A L Eric Teller, CEO of Google X Research & Development Lab INTRODUCTION TO UBIQUITYRATEOFCHANGE TEC H N OLOGY TIME CULTURAL ANGST 15 YRS. TO ADAPT CONSTANT โ€œCATCH UPโ€ MODE CHANGES: TECHNOLOGICAL GEOPHYSICIAL SOCIAL
  • 6. F A S T A N D F U R I O U S Primary care physician would need 630 hours/month to keep up with his/her practice. LEARNING 1950 Medical knowledge and data doubled every 50 years 1980 Medical knowledge and data doubled every 7 years 2010 Medical knowledge and data doubled every 3,5 years 2020 Medical knowledge and data doubled every 0,2 years or 73 days. Source: Elsevier Transactions of the American Clinical and Climatological Association
  • 7. S T R A T E G I C A S S E T S Asking the right questions is the key to our development. LEARNABILITY โ€œTHE ABILITY TO ANSWER QUESTIONS WILL NOT DISTINGUISH SOMEONEโ€™S INTELLIGENCE. THE ABILITY TO ASK ALL THE RIGHT QUESTIONS WILL BE THE MARK OF TRUE GENIUS.โ€ JOHN KELLY VP OF COGNITIVE SOLUTIONS AT IBM KNOWLEDGE STOCKS: DEPRECIATE AT AN ACCELERATING RATE KNOWLEDGE FLOWS: EXPAND AT AN ACCELERATING RATE
  • 8. T R A N S F O R M A T I V E F O R C E S IMPACT ON INDUSTRY Urbanization, ageing, resources and work
  • 9. C O N S U M E R H E A L T H HONDAS Hypertensive, Obese, Non-Compliant, Diabetic, Asthmatic 70% Of healthcare costs INCREASED DEMAND. 2020 (F) = $1,6T USD DEMOGRAPHY INCREASED ACCESS TO HEALTHCARE DISEASE TYPE: NON-CONTAGIOUS DISEASES 44M DEATHS/YEAR IN 2020 (INCREASE OF 15% VIS A VIS 2010) More people, More sick people, More long-term treatments, More access More COSTS and Resources!!! Source: WHO
  • 10. C H A N G I N G T H E M A T H 3PS OF HEALTHCARE Providers: โ†‘ Demand for services Strain on resources Growth vs. Challenges: Mathematical Shock Patients โ†‘ Control and Participation Proactive health decisions Payers โ†‘ Costs Unsustainable System
  • 11. T R A N S F O R M A T I V E F O R C E S IMPACT ON INDUSTRY Cloud, Processing, Data, AI, P2P
  • 12. A H Y P E R L O O P Gartner Hype Cycle TIME TO IMPACT
  • 13. T H E E Y E O F T H E S T O R M DIGITAL VORTEX Combination of surveys and objective data. Plotted 12 industries on a digital vortex. Industries on the outside are least affected by digital disruption. Those closer to the middle are most heavily impacted. Source: IMD + Cisco Velocity vs. Acceleration / Disruption vs. Displacement
  • 14. Source: James Riley (data 1990 and earlier), Global Health Observatory, WHO M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ? HOW LONG DO WE LIVE?
  • 15. Better science makes for better health. โ€œ โ€ The Preston Curve: Life Expectancy vs. Per Capita Income M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
  • 16. Chronic diseases cause increasing number of deaths worldwide. o Heart Disease and Stroke o Respiratory Infections and COPD o Dementia o Diabetes MORTALITY AND CAUSES OF DEATH Source: Global Health Observatory, WHO M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
  • 17. YOU PROBABLY WILL BECOME A: H O N D A YPERTENSIVE BESE ON-COMPLIANT IABETIC STHMATIC M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
  • 18. TIPPING POINT HEALTH TECH M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
  • 19. GENETICS: The Basis for individualized medicine M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
  • 21. S C I E N C E A N D T E C H Data is the new oil and Mooreโ€™s Law is the engine STREGTHENING SCIENTIFIC BASE In effect, two changes are taking place concurrently. - Our technologies for collecting biological data are improving by many orders of magnitude. - Our technologies for synthesizing and analyzing that data are also becoming much cheaper and more efficient. Source: From Vision to Decision Pharma 2020. PWC
  • 22. D A T A Volume, Velocity & Variety BIG DATA AND IOT 2,5MTetrabytes Data created daily INDIVIDUAL LEVEL: WE CAN TRACE A DETAILED PORTRAIT OF A PATIENTโ€™ S HEALTH AGGREGATE LEVEL: DEEP RESERVOIRS OF KNOWLEDGE ABOUT ENTIRE DISEA SE STATES AND PATIENT POPULATIONS. Source: From Vision to Decision Pharma 2020. PWC
  • 23. S C I E N C E A N D T E C H AI and computational power STRENGTHENING SCIENTIFIC BASE Prognos (former Medico): AI company. Registry of: 5 Billion clinical records 100 M patients, 30 disease areas. The registry enables earlier identification of patients who can benefit from enhanced treatment decision-making, risk management, and quality improvement under the HEDIS guidelines. 500 proprietary and learning clinical algorithms. 23andMe: invite people who use its testing service to share information regarding medical history and lifestyle contributing to genetic research.
  • 24. D A T A Corus CAD test: integrates age, sex and gene expression to calculate a score BIG DATA AND IOT โ€œAnywhere interfaceโ€ technologies Provides JIT information on how patients respond to different treatments Ex. Oxford Nanoporeโ€™s MinION DNA & RNA sequencer BIOLOGICAL DATA + ANALYTICAL TOOLS = PERSONALIZED MEDICINE CardioDX: Specialized in cardiovascular genomics R&D company that analyzed over 100M samples to identify 23 markers of coronary artery disease Fuse genomics, biostatics, cardiology and primary care
  • 25. Targeted treatments based on: o Specific Illness o Unique Patient The Basis for Personalized Medicine MOLECULAR SCISSORS G E N E T I C S
  • 26. REMOTE MONITORING: Generating Data for Health M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
  • 27. SELF-LOGGING o Wearables o Digital Tattoos o Smart Clothes o Smart Pill (Proteus) o Senosis Health: mobile medical monitoring device M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
  • 28. CARE HUB: o Personalized Dashboard of Health indicators o Network of Connected Care o Real-time ability to respond and act o Remote operations
  • 29. U B I Q U I T Y MOBILE HEALTH Apps and Wearables. Sources. 2015Across Health Navigator ; IMS 2016 33% 21 %50 % Of US patients use Health Apps in 2016 (vs. 16% in 2014) Use wearables for health purposes. Of US Millennials agree with the statement โ€œI want my doctor to use my fitness tracker and/or health app data.โ€
  • 30. P L U G G I N G I N Using mobile ubiquity to facilitate disease management. MOBILE UBIQUITY A new reusable glucose-monitoring smartphone case developed by engineers at the University of California San Diego. The added benefit is the ability to autonomously store, process, and send blood glucose readings from the phone to a care provider or cloud service. The device, called GPhone, is built into a smartphone case with an accompanying app which lets patients record and track their glucose readings. The 3D-printed case fits over the smartphone and has a permanent, reusable sensor on the corner. Reusable glucose-monitoring smartphone case developed by UC San Diego engineers
  • 31. E V E R Y B O D Y L I E S The most important V in data is Value. DATA AS A TOOL FOR COMPLIANCE Compliance It is believed that up to 50% of patients with chronic diseases are noncompliant with medications. In 2014, it was estimated that medical noncompliance adds between $100-$300 billion annually in healthcare costs. Proteus Digital Health have created the worldโ€™s first smart pill with an ingestible sensor linked to a wearable patch that can record when a pill is actually taken. ABILIFY MYCITE is a drug-device combination product comprised of oral aripiprazole tablets embedded with an Ingestible Event Marker (IEM) sensor. FDA First Approval: Nov. 13, 2017
  • 32. A I A N D I M A G I N G Neural Networks and Data Sets HEALTHCARE AND MACHINE LEARNING Machine learning has enormous potential to disrupt healthcare. Diabetic retinopathy is one of the leading causes of blindness that can be treated if caught early. One early exemplar of AI in healthcare is the work that Google (TensorFlow) research team did to classify retinal images to help expand access and improve quality of care with machine learning solution. Dermatologist-level classification of skin cancer with deep neural networks. using a dataset of 129,450 clinical images. Tested its performance against 21 board-certified dermatologists on biopsy-proven clinical images. 2 critical binary classification use cases: i) keratinocyte carcinomas versus benign seborrheic keratosis ii) malignant melanomas versus benign nevi. https://www.nature.com/articles/nature21056
  • 33. A I A N D I M A G I N G The most important V in data is Value. HEALTHCARE AND MACHINE LEARNING https://www.nature.com/articles/nature21056
  • 34. 3D PRINTING: Customized Medicine and Spare Parts M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
  • 35. Reprogram Cells 3D bioprinters: Tissues, Organs, Bones, Prosthetics Tissue Replacement Organovo: 1st blood vessels to be bioprinted R E P L A C E M E N T P A R T S
  • 36. N E W M A N U F A C T U R I N G โ€œChemputerโ€: Produce when and where it is needed 3D PRINTING Chemist Lee Cronin is working on a 3D printer that, instead of objects, is able to print molecules. An exciting potential long-term application: printing your own medicine using chemical inks. Cronin has been awarded a 2018 RSC interdisciplinary prize, in recognition of his ground-breaking work exploring complex chemical systems and digitizing chemistry using artificial intelligence. A new method of drug manufacture which uses 3D printers to create pharmaceuticals on demand could lead to a โ€˜Spotify for chemistryโ€™. https://www.ted.com/talks/lee_cronin_print_your_own_medicine Production of muscle relaxer Baclofen
  • 37. IMMUNOTHERAPY: Unleashing our internal potential M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
  • 38. CANCER SURVIVAL RATES 1 in 4 1 in 2 3 in 4 M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
  • 39. DIAGNOSTICS: Better Outcomes and Efficiency M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
  • 40. Using VR for medical training and or patient satisfaction during treatment The ability to see inside the body in real time with the use of AR M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ? IMAGING
  • 41. M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ? Breathtec Sensor that โ€œsmellsโ€ Parkinsons, MS, Crohnโ€™s disease, ulcerative colitis, IBS, hypertension and ovarian, kindney & prostate cancer SENSORS
  • 42. Can differentiate a single hyperactive cancerous cell from a normal cell. Simple, noninvasive tool for early cancer diagnosis GRAPHENE M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
  • 43. ROBOTICS: Assistance for a better life M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
  • 44. o Companion Robots (MIRO) o Assistive Robots o Nanotechnology: Repair & Treat M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ? MACHINES
  • 45. REGENERATIVE MEDICINE GENETICS REMOTE MONITORING ROBOTICS IMMUNOTHERAPY DIAGNOSTICS TECH HEALTH M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
  • 46. SICKCARE vs. HEALTHCARE M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
  • 47. Friends and family make for a better life.โ€œ โ€ SECRET TO LONGEVITY ESSENCE OF HUMANITY M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?
  • 48. Joana Santos Silva jpsantosilva@gmail.com Linkedin:joana-santos-silva THANK YOU M E D H U M A N I T Y : W H O W A N T S T O L I V E F O R E V E R ?