5 unit computer aided drug design related to AI

what is AI, Advantages and disadvantages of AI , Computational fluid dynamics (CFD), Pharmaceutical atomization, drug marketing , current challenges of drug marketing, AI in pharmacy, importance of AI , short notes on AI

1. Artificial intelligence:
John McCarthy (1927–2011), an American computer scientist and cognitive scientist,
often hailed as the "father of artificial intelligence" (AI), made significant
contributions to both AI and computer science.
It is the ability of a computer or computer-controlled robot to perform tasks that are
commonly associated with the intellectual processes characteristic of humans, such
as the ability to reason.
AI is the simulation of human intelligence process by machines, primarily computer
systems.
Performing efficiently
Higher accuracy
Large scale productions
Reduce time, cost and labour
Data Analysis and Insights
AI applications include expert systems, natural language processing (NLP), speech
recognition and machine vision.
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 treatements .
Application of AI in pharmaceuticals:
Disease identification
Personalize treatment
Drug discovery/manufacturing
Clinical trial reasearch
Radiology and radiotherpy
Smart electronic health reacord
ROBOTICS AND COMPUTATIONAL FLUID
DYNAMICS:
Robotics is a branch of engineering and computer science that involves the conception,
design, manufacture and operation of robots. The objective of the robotics field is to create
intelligent machines that can assist humans in a variety of ways. Robots in laboratory, life
science and pharmaceutical applications perform tasks at rates beyond human capability.
Robotics is called upon to assemble and package a variety of medical devices and
implants as well as preparing prescriptions for mail-order pharmacies or hospitals.
These are doing assay analsis and automating the movement of test tubes in research
laboratories.
In pharmaceutical applications, hospitals use robots to mix potentially hazardrous cancer
drugs and those associated with radiation.
pick-and-place tasks,
inspection,
bottle closing,
dosing,
machine tending,
and packing.
Clean room applications
Space saving ceiling mounted robot
Metal detector targets
Sterile syringe filling
Vision systems
Control systems

2. These are few uses of robotics in pharma industry.
Types of atomization:
1. Feedback control
2. Sequential control & logical sequence control
3. Computer control
Advantages :
Tireless
Accuracy
Reliability
Redeployment
Less chances of contamination
Suitable to all enviroment
Error reduction
Difficult exploration
Daily assistants
No breaks
Increase work efficiency
Educe cost of training and operation
Reduuce in human errors
Computational fluid dynamics (CFD):
is the science of using computers to predict liquid and gas flows based on
the governing equations of conservation of mass, momentum, and energy.
By using CFD, engineers can accurately predict fluid dynamics, such as
p ressure, t emperature, v elocity, and t urbulence in complex systems or
processes that would be impossible to study through traditional
experimentation. CFD simulation services are an indispensable tool across a
wide range of industries.
CFD simulations can be complex to set up and run, requiring specialized software and
expertise in fluid dynamics and numerical methods.
Disadvantages:
Costly
Dangers and fear
Safety
Trained employee is needed
Tough to installed
No replicating humans
Lesser jobs
Addition
Efficient decision making

3. Applications of CFD in pharmaceutics:
1.Used for mixing,solids handlinng, separation, dryers, packaging, for energy generation and
energy tranfer devices.
PHARMACEUTICAL AUTOMIZATION
Automation means self dictated .
It is the use of control system such as computer to control
industrial machinery and processes reducing the human
intervention.
Automization greatly reduces the need for human sensor and
mental requirements as well as process and system can also
be automated.
Pharmaceutical automation involves the mechanical process of
handling materials,distributing medications and manufacturing and
packaging formulations in industries.
Automatic controller:
Industrial automatic process controller varies from simple on off
devices to special purpose computing instruments:
Four general type of controller:
1.Self operated controller:
On off controllers
Proportional controller
2.Electronic controller
3.Pneumatic controller
4.Miscellaneous controller:
Hydraulic,
Fluidic
Special response controller.
Process control computer:

4. 1. Analog computer
2. Digital computer.
Automization in pharmacy:
Dispensing of prescriptions
Filling, inspection and packaging
Personalised medicines
Structural protein analysis
Measurement of molecular vibration and rotational energy changes
of each tablet.
Automization in tablet manufacturing:
Benefits of automization in tablet production:
1.improve material handling
2.Improve specific unit operation
3.Unit operations in tablet manufacturing
Particle size reduction
Sieving
Mixing
Drying
Compression
sorting
Coating
Packaging
Pharmaceutical applications of AI :
AI refers to the ability of a computer or a computer enables robotic
system to process information and produce outcomes in a manner
similar to the thought process of humans in learning, decision
making and solving systems.

5. It a branch of computer sciences named ai pursues creating the
computers or machines as intelligent as human beings.
Disease identification
Personalize treatment
Drug discovery/manufacturing
Clinical trail research
Radiology and radiotherapy
Smart electronic health record

6. Drug marketing.
CURRENT CHALLENGES/FUTURE ASPECT:
Many big pharmaceutical companies began investing in AI in
order to develop better diagnostics or biomarkers, to identify
drug targets and to design new drugs and products.
In december,2016 Pfizer and IBM announced partnership to
accelerate drug discovery in immunology.
The main issues surrounding AI are data security and privacy since AI
systems require large amounts of data for operation and training. To avoid
leaks, breaches, and misuse, one must ensure data security, availability,
and integrity
Many AI algorithms operate as black boxes, making it challenging to understand how they
arrive at their decisions. Lack of transparency and accountability can undermine trust in AI
systems, particularly in high-stakes applications such as healthcare and criminal justice.
The drawbacks of AI include job displacement, ethical concerns about bias and privacy,
security risks from hacking, and a lack of human-like creativity and empathy.
Ensuring Data Security.
Handling Large Datasets.
Optimizing Data Management.
Computational Power and Energy Consumption.
Efficient AI Computation.
Compatibility Issues.
Seamless Integration Solutions.
The Need for Adaptive AI Systems.