Artificial intelligence in the pharmaceutical industry has the potential to help speed up drug discovery and development processes. AI tools are being used for tasks like analyzing large datasets to predict new drug targets and compounds for further investigation. Companies are also exploring applications of AI like using machine learning algorithms to better detect cancerous tissues for radiation therapy planning. While AI shows promise for aiding decision making and reducing costs and human error, challenges remain around the lack of emotion in AI and need for more expertise to advance these technologies safely.

1. Topic Name-
Artificial Intelligence
in Pharmaceutical
Industry.
Guidance by-
Mrs. Smita Saudagar Mam
College name:-Sir.Dr.M.S.Gosavi college of
pharmaceutical Education and Research,Nashik.
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2.  NAME OF
PARTICIPANTS
(GROUP –1)
Roll
number
Name of the
student
1 Nayan Aarote
2 Siddhi Avhad
3 Sujata Badhe
4 Sakshi Bagul
5 Tejas Bagul
6 Snehal Barve
7 Vivek Baviskar

3. Okay, I will
destroy all the
humans! Let's
see, how?
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4. POINTS TO BE COVERED
Introduction and
History
Why Artificial
intelligence (AI) in
pharma industry
is a good idea?
Tools of AI
Drug Discovery
and recent
AI Adaptations
Imagine a future
where,
Advantages and
Disadvantages
Applications
Current scenario
in industry

5. Introduction-
• Intelligence is the capacity to
learn and solve problems.
• Artificial Intelligence-AI is the
simulation of human
intelligence by machine.
The ability to solve problems.
The ability to act rationally.
The ability to act like humans.
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6.  Definition-
"The branch of computer science
that concerned with the
automation of intelligent
behaviour."( by luger and
stubbidfield in 1993)
According to the Father of AI
,John McCarthy,it is,"The
science and engineering of
making intelligent machines"
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7.  AI In Pharmacy-
Artificial Intelligence in Pharma refers to use of
automated algorithms to perform tasks which traditionally
rely on human intelligence.
Over the last 5 years, the use of Artificial intelligence
in the pharma and biotech industry has redefined how
scientists develop new drugs, tackle disease, and more.

8. History of AI-
the time when it all started.
1950
John McCarthy coined term
'Artificial Intelligence'.
1955
computers become faster and
affordable
1974
the year of AI.
1980
Landmark of AI establishment
achived.
2000

9. Why AI
in
pharma
Industry
is a good
Idea? AI can be of real help in analysing the data and
presenting results that would help out in decision
making ,saving human effort ,time, money and
thus help in save lives!
The recent technological advancement such as
visual perception ,speech recognition, decision
making and transition between languages.
Pharmaceutical Industry can accelerates innovations
by using technological adjustments.

10.  Tools of AI-
1.Robot pharmacy-
 The object of improving the safety of
patients ,many medical center uses robotic
technology for the preparation and tracking
of medications. such as UCSF.
 According to them ,the technology has
prepared 3,50,000 medication does with any
error .this has given freedom to the
pharmacists and nurses of UCSF so that
they can utilize their expertise by focusing
on direct patients care and working with
the physicians.

11. 2.Erica robot
• Erica is a new care robot that has
been developed in Japan by Hiroshi
Ishiguro ,a professor at Osaka
University.
• Erica can speak Japanese and had
Asian and European facial feature.
Like any normal human being ,it
likes animated films ,desire to visit
south-east Asia and wants life
partner who would chat with it. Isn't
it amazing!

12. 3.MEDi Robot -
• MEDi is a short form for medicine and
engineering designing intelligence
• The pain management robot was developed
was part of project led by Tanya Beran
,professor of community Health science at the
university of Calgary in Alberta. she got idea
after working in hospitals where children
scream during medical procedures.
• The robot first builds a rapport with the
children and then tells them what to except
during a medical procedure, although the
robot cannot think, plan ,or reason ,it can be
programmed such that it shows to have AI.

13.  Drug
Discovery-
Drug discovery often takes a long time
compounds against samples of diseased cells.
finding compounds that are biologically active
and worth investigating further requires even
more analysis. To speed up this screening
process, Novartis research teams use images
from machine learning algorithms to predict
which untested compounds might be worth of
exploring in more details.
The current AI initiative by the top
biopharmaceutical companies include-
I. Mobile platform to improve health outcomes
II. Drug discovery
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14. Recent AI
Adoptions-
Novartis uses AI to predict untested components
researchers should explore to find new cures.
IBM Watson helps match patients with the right drug
trails.
Apple uses AI to screen children for autism.
Verge Genomics uses AI to predict the effect of new
treatments for patients suffering from Alzheimer's.
Bayer and merck and co uses AI algorithms
to Identify pulmonary hypertension.

15.  Imagine a future where,
AI is able to design new drugs
Find new drug combination
Will deliver chemical trails within minutes.
Drugs are not tested on real humans or animals ,but on virtual model that are engineered
to mimic the physiology of organs.
Robots will help in the manufacturing of medication as well as their distribution.

16.  Current scenario in industry-
• Many big Pharmaceutical companies began
investing in AI in order to develop better
diagnostics or biomarkers ,to identify drugs
targets and to design new drugs products.
• Merck partnership with Numerate in March
2021 focusing on generating novel small
molecule drug leads for unnamed
cardiovascular disease target.
• In December ,2016 PFizer and IBM announced
partnership to accelerate drug discovery in
immunooncology.
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17.  Advantages -
Reduction
in human
error.
Takes risks
instead of
humans.
Solving
new
problems.
Faster
decisions.
Unbiased
decisions.
Available
24/7.

18.  Disadvantages-
Unemployem
ent
No
emotions
Lack of
qualified
professionals
Makes
human lazy
High cost of
creation

19. Applications-
1)Disease Identification- In this technique ,the unique
AI based Interrogative biology and AI based analysis to
identify difference between healthy and disease
environments.(Berg ,an innovative US biopharma company)
2)Radiology and Radiotherapy-Presently, Google's
DeepMind Health is working on machine learning
algorithms to detect differences between healthy and
cancerous tissues. The goal is to improve the accuracy of
radiotherapy planning while minimizing damage to healthy
organ at risk.
3)Clinical Trail Research- AI can also determine the
optimal sample sizes for increased efficiency and reduce data
errors such as duplicate entries.
4)Drug Discovery-Pharma businesses are using AI to
increase the success rates of new drugs while decreasing
operational costs at the same time. Ideally this would also
translate to lower drug costs for patients ,all while them more
treatment choices.

20.  Conclusion-
Human being is the most sophisticated machine that can ever be
created. The human brain ,which is working hard to create
something that is much more efficient than a human being in
doing any given task and it has great success to extent in doing
so. however, the transformation will not happen overnight.
instead it will gradually occur over the next 10 or 20 years! AI is
the design and application of algorithms for analysis of learning
and interpretation of data.

22. As mentioned in the last slide, "Human brain
is always working hard to create something
that is much efficient than them" .that's how
human created us(robots).we will always be
thankful to the humans who gave birth to us!
so, how can you even think that we robots are
here to end the human race? Instead, we are
here to help entire mankind throughout our life,
not for decaying their work!
THANK YOU!!!