I is a program designed to produce outcome in a manner similar to human intelligence,logic and reasoning. Artificial Intelligence is one of the most highly anticipated digital healthcare technologies

1. ADVANTAGES, DISADVANTAGES
OF ARTIFICIAL INTELLIGENCE (AI),
CURRENT CHALLENGES & FUTURE ASPECTS
Submitted By: Rahul Pal Prachi Pandey Submitted To: Mr. Abhishek Tiwari
M. Pharm (Pharmaceutics), IInd Sem.
In simple words AI defined as “The science and
engineering of making intelligent machines”.
- In future we will see the role of AI completely different
drug design, manufacturing and clinical trials etc.

2.  Artificial intelligence (AI) is mainly for the design a new drugs, finding new drug
combinations and as well as deliver the clinical trials within minutes based on it.
 AI plays an important role in the disease identification, clinical trials research and drug
discovery.
 Pharmaceutical industry can accelerate innovation by using technologies advancements.
 Generally, AI majorly stores a large amount of information and process it at a very high
speed.
 A computer program with AI can answer the generic question it is meant to solve.
INTRODUCTION

3.  AI is defines a more useful and more powerful computers.
 It also solving the new problems in another terms, it offers a new techniques to resolve unique
problems.
 Conversion of information into knowledge.
 Minimize the error: By reducing the risk enhance the chance to reach the accuracy with
more degree of precision.
 No break: Machines having programmed for long duration so do not required refreshment
and breaks.
ADVANTAGES OF AI

4.  High Costs: It’s requires huge costs as they are very complex machines and their repair and
maintenance requires huge cost.
 Difficult with software development- slow ad expensive.
 Few experienced programmers will required.
 Addiction: As we rely depends on machines to make everyday tasks more efficient we use
machines.
 Difficulty in investigation: Usefulness of artificial and robotics have difficulty in the
process.
DISADVANATAGES OF AI

5.  Many big pharmaceutical companies investing in AI in order to develop better diagnosis or
biomarker, to identify drug targets and to design new drugs and products.
 In March 2012, Merk partnership with numerate, focusing on developing novel small
molecule drug which leas for CVS disease target.
 Robotics plays an active role in developing medical device. The production is highly
regulated and developed by food and drug administration. Manufactures use robotics to
minimize the cost.
 In December, 2016 Pfizer and IBM announced partnership to accelerate drug discovery in
immuno-oncology.
CURRENT CHALLENGES/FUTURE WITH AI

6.  Molecular target prediction.
 Protein structures to predict drug molecule
interaction and drug bioactivity.
 Treatment and diagnosis of patients.
 Activity prediction like; Physicochemical properties
and ADMET properties.
 Drug Discovery, Development and Clinical Trials.
VARIOUS APPLICATIONS OF AI

7.  Mitsui and NVIDIA announce Japan's First Generative AI supercomputers for
Pharmaceutical Industry.
 A recent paper in Nature reported that the integration of AI into the drug discovery and
development increased by almost 40% in 2022.
 According to Global Genes, nearly 95% of rare disease don’t have FDA approved treatment
or cures. Thanks to AI innovative abilities, the scenario is rapidly changing for the better.
 Artificial Intelligence (AI), in Drug Discovery Global Market, The market is expected to
recover after the COVID-19 crisis at a great rate of about 43% and reach $1.1 billion
through 2023.
CONCLUSION