1. PRESENTATION ON
REPORT ON PRACTICE SCHOOL
(BP706P)
SESSION 2023-24
PERSENTEDTO
MRS. APURVA SAHU
BNCP, LUCKNOW
PERSENTED BY
PIYUSHY
ADA
V
ROLLNO:-2009190500036
Topic:-
Application of artificial intelligence for disease epidemiology research
2. S.NO TITLE
1 INTRODUCTION
2 THE POWER OF AI
3 CHALLENGES AND SOLUTIONS
4 AI IN ACTION
5 FUTURE DIRECTIONS
6 CONCLUSION
3. INTRODUCTION
Revolutionizing Disease Epidemiology
Research with Artificial Intelligence can
lead to more efficient and accurate disease
diagnosis, treatment, and prevention.
With AI, we can better understand the
spread of diseases and find new ways to
combat them.
4. THE POWER OF AI
AI can process and analyze big data from
various sources such as social media,
medical records, and environmental
sensors.
This allows us to identify patterns and
predict outbreaks more accurately.
AI can also help identify new treatments
and develop personalized medicine based
on an individual's genetic makeup.
5. CHALLENGES AND SOLUTIONS
• One of the challenges of using AI in disease
epidemiology research is the need for high-
quality data.
• AI algorithms require large amounts of
accurate data to produce meaningful results.
• Addressing these challenges can lead to
more effective disease prevention and
control.
6. AI IN ACTION
• AI is already being used in disease
epidemiology research. For example, AI
algorithms have been used to predict flu
outbreaks and identify potential outbreaks of
infectious diseases.
• AI can also help identify genetic factors that
contribute to disease susceptibility and
develop targeted treatments.
7. FUTURE DIRECTIONS
• The future of disease epidemiology research
with AI is promising. AI can help us identify
new disease outbreaks and develop targeted
interventions.
• It can also help us better understand the
underlying mechanisms of diseases and
develop personalized treatments.
8. CONCLUSION
• Artificial Intelligence has the potential to
revolutionize disease epidemiology research.
By analysing large amounts of data and
identifying patterns,
• AI can help us better understand and combat
diseases. However, we must address
challenges such as data quality and ethical
considerations.
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