In this we have discussed about importance of Artificial intelligence in healthcare and especially in pharmacy fields. How technology is upgrading the pharmacy field. And in future it's impact.

1. ARTIFICIAL INTELLIGENCE IN
PHARMACY
THIS ARTICLE DISCUSSES THE ROLE OF NEW TECHNOLOGY LIKE ARTIFICIAL
INTELLIGENCE AND MACHINE LEARNING IN PHARMACY FIELD AND THEIR UPCOMING
CONSEQUENCES IN MEDICAL FIELDS.
PRESENTED BY
PRIY RANJAN
GOVERNMENT PHARMACY INSTITUTE
B PHARM(2020-2024)

2. Artificial Intelligence :-
Artificial Intelligence is a technology that allows machines and
computer applications to mimic human intelligence, learning from
experience via iterative processing and algorithmic training.
AI systems work by combining large sets of data with intelligent,
iterative processing algorithms to learn from patterns and features in
the data that they analyse.
Each time an AI system runs a round of data processing, it tests and
measures its own performance and develops additional expertise.

3. HistoryofARTIFICIALINTELLIGENCEInPharmacy

4. Classification of ARTIFICIAL INTELLIGENCE

5. Uses of ARTIFICIAL INTELLIGENCE in healthcare and Pharmacy

6. Application of AI in pharmacy field

7. Pharmaceutical executives are looking for ways to leverage artificial intelligence
and machine learning within the healthcare and the biotech industry.
Top pharmaceutical companies are collaborating with AI vendors and leveraging
AI technology in their manufacturing processes for research and development and
overall drug discovery
Machine learning can help forecast and prevent over-demand and under-demand,
as well as fix supply chain problems and failures in the production line.
As example- When a patient is diagnosed, physicians look at their symptoms,
diagnostic tests, historic data, and other factors. Based on this information, the
physician will provide the patient with personalized treatment options. AI and
machine learning can significantly help with diagnostic assistance by providing a
more data-driven approach to patient categorization.

8. Role of AI in Drug Discovery

9. Artificial intelligence in Pharmaceutical Product Management
AI product management involves the design, organization, and release of products
and services that implement artificial intelligence and machine learning to address
customers’ needs. Traditionally, a product manager’s primary roles
include research, strategy, and communication.

10. Now the question arises, How companies may one day use AI to
automate product management ?
Company use
1.Automated User Feedback: AI algorithms could curate and
deliver user requests for fixes and features to the appropriate
departments.
2.Optimized Meetings: AI could collect and list the important
topics and issues to be discussed and handled before and
during department meetings.
3.Coordinating Marketing or Development Communication: A
future AI algorithm may be able to organize all necessary
information needed by marketing and development teams.

11. Artificial Intelligence in clinical trail and design:-

12. Study of AI enabled technology In clinical trail

13. AI in Pharmaceutical manufacturing
In manufacturing the sole process consist of the following unit
operation
• Formulation and pre-formulation development,
• Powder feeding in continuous manufacturing,
• Mixing Active Pharmaceutical Ingredients with excipients,
• Milling or granulating,
• Hot melt extrusion,
• Compressing the powder blend to form tablets or capsules,
• Packaging and labeling pharmaceuticals for distribution.

14. Diagram of pharmaceutical manufacturing unit
operations

15. How AI Will Impact Pharmaceutical Manufacturing in the Future?
Artificial intelligence can help by providing a third-party
perspective on how the drug process should operate and
suggesting changes in equipment design for maximum
efficiencies. For example, artificial intelligence could analyze
data from previous batches of drugs produced at a factory to
identify ways to reduce costs and increase production.
A successful AI project needs to transfer data from different
sources to provide accurate predictions about how much raw
materials or parts need to be ordered at any given time and what
equipment should be allocated where throughout the plant
during setup and operations.

16. Pharmaceutical manufacturing processes improvement based on Industry Internet of
Things solutions (IIoT) and AI algorithms

17. AI in Quality control and Quality assurance
AI & ML can optimize risk coverage, prevent redundancies,
perform portfolio inspection, detect false positives, diagnose
defects automatically, and analyze user experience.

18. Seeing vast scope and demand in future many company are aggressively
Investing in AI and collaborating with AI provider company. Some of them are