MEDICAL PRESENTATION
Vincent Chatelard
Created on April 6, 2022
More creations to inspire you
AC/DC
Presentation
THE MESOZOIC ERA
Presentation
ALL THE THINGS
Presentation
ASTL
Presentation
VISUAL COMMUNICATION AND STORYTELLING
Presentation
ENGLISH IRREGULAR VERBS
Presentation
GROWTH MINDSET
Presentation
Transcript
Health Predict
Prevention is better than cure
Data Science
Preventing diseases based on dna
1
INDEX
1. Context & Market analysis
2. Target
3. Solution
8. Presentation of the team
4. Means
5. Visualisation
6. Budget
7. Planning & Strategy
2
Context & Market Analysis
- A global market for DNA testing estimated at more than 2.25 billion dollars by 2025
- Market in the United States, the sale of these kits is in principle authorized monitored by Food and Drug Administration
- Main competitors:
- 23andMe
- MyHeritage DNA
Online genealogy platforms with a website. Users of the platform can, among other things, create family trees and search billions of international historical data.
3
TARGET
Name : Nathalie PATOUX
Age : 31
Sexe : Female
Work : Financial Expert
Situation : Couple
Personality :
-Joyfull
-Loyal
-Like to discover new things-Extrovert
Needs & Expectations:
-Take care of her
-A better knowledge of herself
-Want to have child
Interests :
-Cycling
-Footing
-Spending time with her family and friends
-Watching movies in movie theaters
Motivations :
-Family
-Herself and her health
-Facility
Channels :
-Smartphone
-Application
-Internet
-All connected devices
Pain Points & Frustration :
-Not controlling the future
-Not prepared
-Anxious
-Not serene
The impact of our solution on her → more relaxed, more prepared and a better understanding of her body
4
PROJECT
→ Solution :
Predict patient disease thanks to direct-to-consumer genetics testing and personal information. All of the predictions and visualizations will be showed on a mobile application with some advice. Doctors (specialists and generalists) will have the possibility to use those information, to make a better diagnostic.
→ Ways:
Machine learning models → prediction
Ambassadors : doctors
→ Stakeholders :
Patients, doctors and lab
→ Making direct-to-consumer genetics test, analyse all of the outcomes and make visualisations for the patient on the app. We need laboratory operators and data scientists.
5
ProjeCt
→ Impacts :
→ Benefits :
→ Potential risks :
- To allow users to prevent potential diseases that they may have in the future through DNA testing.
→ Benefits :
- While most DNA tests allow for paternity or family tree testing. Our solution allows to prevent potential diseases and in correlation with a doctor to be better prepared by controlling and treating as soon as possible if the disease is triggered. A real medical follow-up is proposed
→ Potential risks :
- In order for the solution to be as safe as possible, we need the largest possible database. The risk is to not have enough data.
- In spite of the acceptance of most people, some countries / states still do not validate DNA tests (like France or New-York). But this will come with time
6
Visualisation
7
Spent
Profit
Initial purchase
24%
Subscriptions
56%
Contract
20%
Budget : 580K $
- Influencers
- Applications
- Advertisement
- Subscription to improve the profit
- Initial purchase for the first DNA test
- Contract with economic partners for investment
8
PROCESS
Clinical trial
Creation of our predictive models
Training and testing session
Process 01
FDA approval approximately 4-7 years (proof of our model results and validation of our results)
Process 02
App creation (during first step’s last years)
Process 03
9
· Poster in hospitals / clinics / dispensaries / offices
· Social networks communications (live, partnerships with niche influencers)
Communications
· Set up congress with doctors (specialists and generalists) to promote our solution (duration: until our solution is known and used by 50% of doctors)
10
BM Canvas
10
TIMELINE
Process 2
2030
Process 3
Process 1
2025
2023
2022
2031
Beginning of communications
11
TEAM
Sheida
Tom
Vincent
Nour
Paul
www.linkedin.com/in/sheida-mohammadi
https://www.linkedin.com/in/tomlyonnet
https://www.linkedin.com/in/nour-lababidi1/
https://www.linkedin.com/in/vincent-chattelard
https://www.linkedin.com/in/paul-isenbrandt/
Questions ?