Detect-ALL
.
.
According to the World Health Organization
(WHO), there are over 200,000 new cases of
acute lymphoblastic leukemia (ALL)
worldwide each year with the recovery rate
dropping to more than 40% due to high
relapse rate and delayed diagnosis.
(Cancer.org)
Problem
Statement
Problem Solution
Revolutionize leukemia detection and
treatment with our ML-based app.
Improve accuracy and accessibility with
sequencing analysis for personalized
treatment options, all secured with
blockchain technology.
Use of ML in ALL detection
Bulk data can be analyzed easily and a
trained machine can identify patterns
not immediately recognizable by
pathologists
Quick and Precise
Reduces
Subjectivity
It reduces the chances of cancer based
false positives, or variabilities in results.
Accuracy and Priority
Using techniques like imaging,
followed by DE analysis increases the
accuracy, and doctors can be given a
priority list based on which patient
should be treated first.
Workflow of our system
The DETECT-ALL Application
94%
Accuracy
The app returns a high
accuracy against test
images
Stages
Can detect 4 different
stages of ALL
External Factors
The app will change the
predictions based on
factors like age and
smoking
$DALL
Each test report
requires a certain
number of coins
($DALL)
Mainstream
Rather than complex
tests, this app can work
with simple blood
smears
Integration
It can be integrated
with a microscope
camera for real time
detection
The DETECT-
ALL
Application
Here are some screenshots of
the application
The DETECT-ALL RNA-Seq
(EasyGuard) application
DE Analysis
This app will process
the data from biopsies
and give a list of DE
genes.
Thorough
Analysis
The app can analyze in a
detailed form using the
DNASeq 2 or bayplyr packages
Visualization
Heatmap, Principal
Component Analysis, MA
plots, and Correlation Plots
to make data visualization
easy
ID Swap
The app can swap
different IDs from
different databases to
the real gene names.
Orthology
We can find and
compare orthologous
genes
Data Retrieval
All the normalized data
or any other graphical
data can be received in
the csv format
EasyGuard
Application
Here are some screenshots of
the application
Market Outlook
.
9.5% USD 9.5 billion USD 20.77 billion
CAGR ( Compound
Annual Growth Rate)
In 2022, the global
leukemia diagnostic
market size
Expected projection
by 2026
https://www.businesswire.com/news/home/20220912005443/en/Leukemia-Therapeutics-Global-Market-Repor
t-2022-A-20-Billion-Market-in-2026---Long-term-Forecast-to-2031---ResearchAndMarkets.com#:~:text=The%20
global%20leukemia%20therapeutics%20market,at%20a%20CAGR%20of%207.99%25
Painful conventional
method, costly
Time-consuming
Rapid Test
Painless, Cost effective
Easy to access and
use
Higher true
positive results
High accuracy of
94%
Greater
accessibility,
Simplified
system
interface
Data
Collection
Target Audience
Hospitals
We are only targeting the B2B marketing
Diagnostic
Centres
Clinics
Competitors
.
Companies Disease Diagnosis
Panakeia
Breast cancer
MultiplAI Health
Cardiovascular
disorders
Biotome
Stomach cancer
More-Than-Mild
Although, there are few companies which focuses on early detection of diseases using
ML, yet OUR IDEA, early detection of Acute Lymphoblastic Leukemia (ALL) using ML,
is one of its kind.
Validation & Feasibility
Accuracy: We trained
using 10,000+
datasets and got an
accuracy of 94%
Availability of data: We
used data from a wide
range of patients suffering
from ALL and healthy
people to recognize
patterns in different
populations.
Cost of Developing
and Maintaining the
App:
$10 per month for
domain charges.
Variable prices for
maintenance/updates
Timeline
Identify
the
problem
Design a
solution
Gather
data
Design a
solution
Develop
a ML
model
Train and
evaluate
the model
Develop
an app
Test the
app
Market
the app
Monitor and
improve the
app
1 2 3 5 6 7
8 9 10
4
CREDITS: This presentation template was created by
Slidesgo, including icons by Flaticon and infographics &
images by Freepik
Thank You
Do you have any questions?
youremail@freepik.com
+91 620 421 838
yourcompany.com
Please keep this slide for attribution
https://acute-lymphoblastic-leukemia-detector.webflo
w.io/

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DETECTALL SEMX WITH RULES AND REGULATIONS

  • 2. . According to the World Health Organization (WHO), there are over 200,000 new cases of acute lymphoblastic leukemia (ALL) worldwide each year with the recovery rate dropping to more than 40% due to high relapse rate and delayed diagnosis. (Cancer.org) Problem Statement
  • 3. Problem Solution Revolutionize leukemia detection and treatment with our ML-based app. Improve accuracy and accessibility with sequencing analysis for personalized treatment options, all secured with blockchain technology.
  • 4. Use of ML in ALL detection Bulk data can be analyzed easily and a trained machine can identify patterns not immediately recognizable by pathologists Quick and Precise Reduces Subjectivity It reduces the chances of cancer based false positives, or variabilities in results. Accuracy and Priority Using techniques like imaging, followed by DE analysis increases the accuracy, and doctors can be given a priority list based on which patient should be treated first.
  • 6. The DETECT-ALL Application 94% Accuracy The app returns a high accuracy against test images Stages Can detect 4 different stages of ALL External Factors The app will change the predictions based on factors like age and smoking $DALL Each test report requires a certain number of coins ($DALL) Mainstream Rather than complex tests, this app can work with simple blood smears Integration It can be integrated with a microscope camera for real time detection
  • 7. The DETECT- ALL Application Here are some screenshots of the application
  • 8. The DETECT-ALL RNA-Seq (EasyGuard) application DE Analysis This app will process the data from biopsies and give a list of DE genes. Thorough Analysis The app can analyze in a detailed form using the DNASeq 2 or bayplyr packages Visualization Heatmap, Principal Component Analysis, MA plots, and Correlation Plots to make data visualization easy ID Swap The app can swap different IDs from different databases to the real gene names. Orthology We can find and compare orthologous genes Data Retrieval All the normalized data or any other graphical data can be received in the csv format
  • 9. EasyGuard Application Here are some screenshots of the application
  • 10. Market Outlook . 9.5% USD 9.5 billion USD 20.77 billion CAGR ( Compound Annual Growth Rate) In 2022, the global leukemia diagnostic market size Expected projection by 2026 https://www.businesswire.com/news/home/20220912005443/en/Leukemia-Therapeutics-Global-Market-Repor t-2022-A-20-Billion-Market-in-2026---Long-term-Forecast-to-2031---ResearchAndMarkets.com#:~:text=The%20 global%20leukemia%20therapeutics%20market,at%20a%20CAGR%20of%207.99%25
  • 11. Painful conventional method, costly Time-consuming Rapid Test Painless, Cost effective Easy to access and use Higher true positive results High accuracy of 94% Greater accessibility, Simplified system interface Data Collection
  • 12. Target Audience Hospitals We are only targeting the B2B marketing Diagnostic Centres Clinics
  • 13. Competitors . Companies Disease Diagnosis Panakeia Breast cancer MultiplAI Health Cardiovascular disorders Biotome Stomach cancer More-Than-Mild Although, there are few companies which focuses on early detection of diseases using ML, yet OUR IDEA, early detection of Acute Lymphoblastic Leukemia (ALL) using ML, is one of its kind.
  • 14. Validation & Feasibility Accuracy: We trained using 10,000+ datasets and got an accuracy of 94% Availability of data: We used data from a wide range of patients suffering from ALL and healthy people to recognize patterns in different populations. Cost of Developing and Maintaining the App: $10 per month for domain charges. Variable prices for maintenance/updates
  • 15. Timeline Identify the problem Design a solution Gather data Design a solution Develop a ML model Train and evaluate the model Develop an app Test the app Market the app Monitor and improve the app 1 2 3 5 6 7 8 9 10 4
  • 16. CREDITS: This presentation template was created by Slidesgo, including icons by Flaticon and infographics & images by Freepik Thank You Do you have any questions? youremail@freepik.com +91 620 421 838 yourcompany.com Please keep this slide for attribution https://acute-lymphoblastic-leukemia-detector.webflo w.io/