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1. ARTIFICIAL INTELLIGENCE AND
ROBOTICS
Submitted to
DR. Kamal Singh Rathore
Submitted by
Poonam Garg
M pharm 2nd sem.

2. INTRODUCTION
This report will cover artificial intelligence and practices in pharmaceutical industry.
 Robots and their properties also will include in the assessment report.
Computer fluid dynamic will include in the report.
The main goal of the assessment to aware about significance of artificial intelligence
for future.
While robots is basically designed for drug discovery and reducing human errors.

3. Artificial Intelligence
• Artificial Intelligence is the science and engineering of making intelligent
machines, especially intelligent computer programs.
• In simple term Artificial Intelligence is a branch of Science, which deals with
helping machines find solutions to complex problems in a more human like
fashion.
• Artificial intelligence is showing the potential to be a faster, more efficient way to
find and develop new drugs (Szolovits, 2019 Mar 13).
• A growing number of organizations & universities are focusing to minimize the
complexities involved in classic way of drug discovery by using AI computing to
envisage which drug candidates are most likely to be effective treatments.

4. Properties of AI
A software generates new molecular structures by combining properties of
existing drugs.
 Automatic chemical design helps drug discovery for a faster & accurate manner.
A treatment method from the ground up using a deep learning neural network.
A system to use historical, biological & chemical data to imagine novel molecules
with the potential to fight major diseases.
Math – solving problems, logic. •Psychology – the study of mental processes and
behaviour. • Cognition – processing information, applying knowledge. • Biology
– the study of living organisms and how the work. • Philosophy – wisdom and
understanding.
The potential applications of Artificial Intelligence are endless.

5. Cont.
Artificial intelligence use in drug discovery
• Deep learning technique known as a generative adversarial network (GAN) by
Baltimore based company, Insilco Medicine.
• GPU (graphics processing unit)-accelerated deep learning to target cancer and
age-related illnesses by above organization.
Benefits of AI
• Get rid of data mining by humans.
• Saving of time.
• After initial set up, expenses will be less vs classical way to discover drug (at least
for a particular research direction).

6. Application of AI
Consumer Marketing
• All of this information is recorded digitally
• identifying customer segments: targeted marketing, e.g., they find out that consumers with sports
cars who buy textbooks respond well to offers of new credit cards.
Identification Technologies
• Biometric Identification, walk up to a locked door
Machine Translation
• Language problems in international business
• How hard is automated translation
– very difficult!
– e.g., English to Russian
– not only must the words be translated, but their meaning also

7. ROBOTS
• A robot is a machine that gathers information about its environment (senses) and
uses that information (thinks) to follow instructions and to do work (acts).
• A robot is an electromechanical or biomechanical device or group of devices that
can perform a repetitive or pre-programmed task.
• Robots are being designed to perform precision surgery, explore space, the ocean,
and other dangerous areas.
• Intelligent automation is providing pharma and biotech companies, and their
contract manufacturing partners, major gains with minimized risk (Yang and et.
al., 2019 Jan 1).
• Latest robot is DaVinci robot. It is surgical robot which is used, currently.
• There is endless variety in the size, shape and jobs of robots.

8. Robotics in the Pharmaceutical and Life
Sciences Industry
Robots are doing assay analysis and automating the movement of test tubes in
research laboratories.
Because of the high number of samples that need analysis and the amount of data
collection required, the process and costs are easily validated with robotics.
In pharmaceutical applications, hospitals use robots to mix potentially hazardous
cancer drugs and those associated with radiation.

9. Good news
• Artificial intelligence will never eradicate the jobs of scientists unlike it may do
for other industries where danger of losing jobs is looming like anything (He J,
and et.al., 2019 Jan 25).
• This is so because, here health aspect of people is associated and therefore AI
enabled stuff has to be ensured and validated by scientists.

10. Application of the Robot
In pharmaceutical industry
• Robots can perform tasks around three or four times faster than humans.
• It Can be used 24 hours a day.
• Such qualities make them excellent at producing large quantities of a product in a short
space of time.
• Robots are also able to move to a precision smaller than a sheet of paper, which far
exceeds the accuracy that any human could provide.
• The robots are capable of operating at 120 cycles per second, with ten variants of the
bottle capable of running on the system.
• Only requirement for the human employees is to select the correct program for the robotic
system itself.

11. Cont.
Use of Robots In The Laboratories
• Many of the tests performed in the lab are to do with research, discovery and
development of drugs, and usually involve repetitive tasks such as moving fluids
and test tubes.
• Robots are an ideal choice for these jobs because they are easy to automate and
provide a high level of accuracy and consistency.
• Robots in such a way also enables researchers to bypass menial tasks and focus
their time on more worthwhile activities such as real drug development and
research.
• laboratory technician or researcher does not require engineering skills, but can
program the robot using simple instructions (Maddox, Rumsfeld, Payne, 2018 Jan
1).
• The precision is so high that robots today can put 40,000 dots of DNA onto a
single microscopic slide – such a feat cannot be rivalled by human hands.

12. CONCLUSION
This report has been concluded artificial intelligence and their application for the
drug discovery and manufacturing.
It can be concluded robots and their benefits of current trend and future trend.
 Through the report can be summarized artificial intelligence playes significant
role in the science field because it enhances working efficiency of the R&D
department.

13. REFERNECES
Books and Journals
• Szolovits P, editor. Artificial intelligence in medicine. Routledge; 2019 Mar 13.
• Topol EJ. High-performance medicine: the convergence of human and artificial
intelligence. Nature medicine. 2019 Jan;25(1):44-56.
• Jackson PC. Introduction to artificial intelligence. Courier Dover Publications; 2019 2018
Jan 1.
• Yang KC and et. Al., Arming the public with artificial intelligence to counter social bots.
Human Behaviour and Emerging Technologies. 2019 Jan;1(1):48-61.
• He J, and et.al., The practical implementation of artificial intelligence technologies in
medicine. Nature medicine. 2019 Jan;25(1):30-6.