Data science involves extracting meaningful insights from large datasets using various algorithms and techniques. In healthcare, it is utilized for tumor detection, drug discovery, medical image analysis, and predictive modeling, enhancing diagnostic and treatment capabilities. Despite challenges like data privacy, the future of data science in healthcare looks promising, offering innovative solutions to track diseases and improve patient outcomes.

1. DATA SCIENCE

2. APPLICATIONS OF DATA
SCIENCE
Data Science is the deep study of a large quantity
of data, which involves extracting some meaning
from the raw, structured, and unstructured data.
Extracting meaningful data from large amounts
usesalgorithms processing of data and this
processing can be done using statistical
techniques and algorithm, scientific techniques,
different technologies, etc. It uses various tools
and techniques to extract meaningful data from
raw data. Data Science is also known as the
Future of Artificial Intelligence.

3. DATA SCIENCE
IN HEALTH CARE In the Healthcare Industry data
science act as a boon. Data Science is
used for:
• Detecting Tumor.
• Drug discoveries.
• Medical Image Analysis.
• Virtual Medical Bots.
• Genetics and Genomics.
• Predictive Modeling for Diagnosis
etc.

4. MEDICAL IMAGING
Medical imaging is usually referred to as radiography - the branch of medicine wherein doctors make different images
of bodily components for diagnostic or therapeutic purposes.
The integration of medical image analysis with the use of artificial intelligence improves screening, diagnosis, and
prognosis. The growing number of medical facilities and patients has also improved the clinical settings for computer-
based healthcare diagnostic and decision-making systems.

5. There is still a huge number of incurable diseases, namely cancer, AIDS, Alzheimer,
etc. Detailed healthcare data analysis provides scientists with a better
understanding of how certain chemical components may affect the human body.
Simulations or tests can be conducted on a larger scale without the worry of
human errors.
For example, an associate professor University of Arizona College of Medicine,
Tucson, and his collaborators from Harvard University have been harnessing the
power of AI to further understand the cause behind Alzheimer’s while also trying
what effects the drugs have on the patient.
PHARMACEUTICAL DEVELOPMENT

6. PREDICTIVE MODELING AND ANALYTICS
Healthcare providers can benefit from
using predictive modeling to respond
as promptly as possible to changes in
a patient’s vital signs and to
anticipate the onset of symptoms
before they become overtly evident.

7. PATIENT HEALTH RECORD
MAINTENANCE

8. FUTURE OF DATA SCIENCE IN HEALTHCARE

9. FUTURE TRENDS
Data science in healthcare has a bright future ahead. Despite certain weaknesses
like concerns regarding data privacy and fraud, the overwhelming application of
data science has proven what a major player it has become. It would have been
painstaking for the practitioners to manually manage the ocean of patient
information to track diseases and predict treatment outcomes while
simultaneously figuring out the cure for cancer.
Therefore, data science has proven to be a future key player in the industry’s
steady innovation.

10. THANK YOU!
ALDRIN SONY 2437008