The document discusses machine learning applications in healthcare. It provides examples of companies like Microsoft, Pfizer, and Biosymetrics using machine learning for medical image analysis, cancer research, and precision medicine development. Machine learning can help improve diagnosis accuracy, healthcare quality and outcomes while reducing costs by automating detection in areas like pathology and radiology.

1. Machine learning in healthcare
MR. HARSHIT BHALLA
BBA-BUSINESS ANALYTICS S1
CHRIST ACADEMY INSTITUTE FOR ADVANCED STUDIES

2. what is machine learning?
 A branch of artificial intelligence, concerned
with the design and development of
algorithms that allow computers to evolve
behaviors based on empirical data

3. Machine Learning in Healthcare

4. Introduction
The healthcare sector has long been an early adopter
of technological advances. These days, machine
learning — a subset of artificial intelligence plays a key
role in many health innovations, including the
development of new medical procedures, the handling
of patient data and records, and the treatment of
chronic diseases.

5. MACHINE LEARNING IN
HEALTHCARE EXAMPLES
 Microsoft
 Founded: 1975
 Location: Redmond, Washington
 Microsoft’s project InnerEye harnesses computer vision and
machine learning to differentiate between tumors and healthy
anatomy using 3D radiological images that assist medical
experts in radiotherapy and surgical planning. With this MI-
based approach, Microsoft aims to produce medicine that is
tailored to the unique needs of each patient.

6.  Pfizer
 Founded: 1848
 Location: New York, New York
 With the help of IBM’s Watson AI technology, Pfizer uses
machine learning and natural language processing for
immuno-oncology research about how the body’s immune
system can fight cancer. This partnership enables Pfizer to
analyze large amounts of patient data and develop faster
insights on how to produce more impactful immuno-
oncological treatments for patients

7.  Biosymetrics
 Founded: 2015
 Location: Boston, Massachusetts
 Via its machine learning platform and contingent
AI, Biosymetrics helps organizations analyze large amounts of
raw data to streamline the development of precision medicine.
The company has access to millions of electronic health
records and human-relevant disease models, allowing its
platform Elion to deliver more comprehensive insights on how
to improve medicines.

8. What can machine learning do for the
healthcare industry?
 Improve accuracy of diagnosis, prognosis, and
risk
 Improve the quality of care and population
health outcomes, while reducing healthcare
costs.
 Automate detection of relevant findings in
pathology, radiology, etc.

9. Reference
 https://ieeexplore.ieee.org/document/9112096
 https://builtin.com/artificial-intelligence/machine-learning-healthcare
 Google images

10. Thank you