AI is a program designed to produce outcome in a manner similar to human intelligence,logic and reasoning.This can be used in field of Pharmacy for betterment of humankind, to save lives,money and time
artificial intelligence in Pharmacy field.pptxpriyranjan8
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.
Artificial Intelligence in Pharmaceutical IndustryKevin Lee
This presentation will show the introduction of AI and its possible implementation in Pharmaceutical Industry such as drug discovery, personalized medicine, molecular target prediction, site selection, patient recruitment, process automation, process optimization and more.
Advantages disadvanatges of AI in Pharmaceuitcal Industry.pptxRAHUL PAL
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
Myself Omkar B. Tipugade ,M-Pharm Sem II, Department of Pharmaceutics , Today I upload the presentation on Artificial Intelligene , In that I discuss about the definition of AI as well as their important in Pharmaceutical field . Also give brief information about the Neural networking & fuzzy logic with diagrammatic presentation And also application of AI in product formulation. I highlight the important words.
United State Pharmacopoeia (USP)The establishment of a rational relationship between a biological property, or a parameter derived from a biological property produced by a dosage form, and a physicochemical property or characteristic of the same dosage form.
Food and Drug Administration (FDA) definitionIVIVC is a predictive mathematical model describing the relationship between an in vitro property of a dosage form and a relevant in vivo response. Generally, the in vitro property is the rate or extent of drug dissolution or release while the in vivo response is the plasma drug concentration or amount of drug absorbed.
Increasing the efficacy of drugs and at the same time reducing the chances of adverse reaction should be the aim of drug development, which can be achieved by using 3D printing to fabricate personalized medications
Drugs with narrow therapeutic index can easily be prepared using 3D printing; and, by knowing the patient’s pharmacogenetic profile and other characteristics like age, race etc., optimal dosage can be given to the patient.
3D printing technology is a valuable and potential tool for the pharmaceutical sector, leading to personalized medicine focused on the patients’ needs. It offers numerous advantages, such as increasing the cost efficiency and the manufacturing speed. 3D printing has revolutionized the way in which manufacturing is done. It improves the design manufacturing and reduces lead time and tooling cost for new products.
artificial intelligence in Pharmacy field.pptxpriyranjan8
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.
Artificial Intelligence in Pharmaceutical IndustryKevin Lee
This presentation will show the introduction of AI and its possible implementation in Pharmaceutical Industry such as drug discovery, personalized medicine, molecular target prediction, site selection, patient recruitment, process automation, process optimization and more.
Advantages disadvanatges of AI in Pharmaceuitcal Industry.pptxRAHUL PAL
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
Myself Omkar B. Tipugade ,M-Pharm Sem II, Department of Pharmaceutics , Today I upload the presentation on Artificial Intelligene , In that I discuss about the definition of AI as well as their important in Pharmaceutical field . Also give brief information about the Neural networking & fuzzy logic with diagrammatic presentation And also application of AI in product formulation. I highlight the important words.
United State Pharmacopoeia (USP)The establishment of a rational relationship between a biological property, or a parameter derived from a biological property produced by a dosage form, and a physicochemical property or characteristic of the same dosage form.
Food and Drug Administration (FDA) definitionIVIVC is a predictive mathematical model describing the relationship between an in vitro property of a dosage form and a relevant in vivo response. Generally, the in vitro property is the rate or extent of drug dissolution or release while the in vivo response is the plasma drug concentration or amount of drug absorbed.
Increasing the efficacy of drugs and at the same time reducing the chances of adverse reaction should be the aim of drug development, which can be achieved by using 3D printing to fabricate personalized medications
Drugs with narrow therapeutic index can easily be prepared using 3D printing; and, by knowing the patient’s pharmacogenetic profile and other characteristics like age, race etc., optimal dosage can be given to the patient.
3D printing technology is a valuable and potential tool for the pharmaceutical sector, leading to personalized medicine focused on the patients’ needs. It offers numerous advantages, such as increasing the cost efficiency and the manufacturing speed. 3D printing has revolutionized the way in which manufacturing is done. It improves the design manufacturing and reduces lead time and tooling cost for new products.
It is the part of the pharmaceutical industry where a lab scale formula is transformed into a viable product by development of liable and practical procedure of manufacture.
For better understanding of students. This will give you a detailed explanation of IND APPLICATION. Contact me through comment section if you need any assistance in understating this topic.
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AI And Machine Learning Are Changing Our World And Powering The 4th Industrial Revolution. Learn About The 5 Ways AI Is Changing Our World For The Better At Salzburg Global Today! Inspire Action. Expand Collaboration. Transform Systems. Bridge Divides.
It is the part of the pharmaceutical industry where a lab scale formula is transformed into a viable product by development of liable and practical procedure of manufacture.
For better understanding of students. This will give you a detailed explanation of IND APPLICATION. Contact me through comment section if you need any assistance in understating this topic.
Formulation and evaluation of nanoparticles as a drug delivery systems Tarun Kumar Reddy
Nanomaterials fall into a size range similar to proteins and other macromolecular structures found inside living cells. As such, nanomaterials are poised to take advantage of existing cellular machinery to facilitate the delivery of drugs. Nanoparticles containing encapsulated, dispersed, absorbed or conjugated drugs have unique characteristics that can lead to enhanced performance in a variety of dosage forms.
Artificial Intelligence in Pharmaceutical ScienceAhmed Obaidullah
AI And Machine Learning Are Changing Our World And Powering The 4th Industrial Revolution. Learn About The 5 Ways AI Is Changing Our World For The Better At Salzburg Global Today! Inspire Action. Expand Collaboration. Transform Systems. Bridge Divides.
Artificial Intelligence (AI) is a rapidly growing technology that is used for a wide range of applications across industries. Small, mid-sized, mid-sized, and multinational companies are using AI technology and enhancing their capabilities to work smart in this digital sphere. Like retail, e-commerce, and manufacturing sectors, AI is gaining prominence across healthcare and pharma sectors. Leveraging the power of this modern Artificial Intelligence in Pharma Industry, the companies are finding innovative ways to resolve some of the significant issues that the pharma sector is facing today. Yes. AIpowered apps using machine learning, deep learning, predictive analytics, and big data have brought a radical shift in the paradigm of pharma
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2. 2
Contents
I. Introduction
II. Materials & Method
III. AI in Field of Pharmacy
IV.Why AI in Pharma is a Good Idea ?
V. Imagine a Future where
VI.Investments in AI
VII.Results & Discussion
VIII.Top 10 AI Application that Could Change
Healthcare
IX.Steps of Usage of AI
X. Application of AI
XI.Scope for Further Research
XII.Recent AI Adoptions
XIII.Risks & Advantages Associated with AI
XIV.Conclusion And Future Perspectives 2
4. 4
Introduction
• According to Father of Artificial Intelligence(AI),John
McCarthy, it is ,“The science and engineering of
making intelligent machines“
• Artificial intelligence refers to the ability of a computer or
a computer enabled robotics system to process
information and produce outcomes in a manner similar
to the thought process of human in learning ,
decision making and solving problems.
• The goals of AI system is to develop system capable of
taking complex problems in ways similar to human
logic and reasoning.
6. 6
AI in field of Pharmacy
• It is one of the top technologies shaping the
future of pharmacy.
• Pharma industries has been developing cure &
treatment for centuries. Traditionally the design &
manufacturing of drug requires several years,
lengthy clinical trials & huge costs.
• With the rise of 21st century technologies, this has
been changing.
• In future we will see completely different drug
designs, manufacture & clinical trials.
7. 7
Why AI in Pharma
is a good idea ?
• Pharmaceutical industry can accelerate innovation by using
technological advancements.
• The recent technological advancement that comes to mind would
be artificial advancement such as visual perception, speech
recognition, decision-making & translation between languages.
• An estimate by IBM shows that entire healthcare domain has
approx. 161 billion GB of data as of 2011.
• With humongous data available in this domain, AI can be of real
help in analysing the data & presenting results that would help out
in decision making, saving human effort,time,money & thus help
save lives
8. 8
Imagine a Future where,
• AI is able to design new drugs
• Find new drug combination
• Deliver clinical trials 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 help in the manufacturing of medication as well as
their distribution
• Counterfeiting drugs become almost impossible.
• Block-chain technology secures the entire distribution channel.
• Local pharmacists 3D prints personalised drugs in any shape &
desired dosage
9. 9
Investments in AI
Last year, Verdict AI asked businesses how vital artificial
intelligence will be in their respective industries and over 70% of
them thought it would be very important. From the same
group, only 11% of businesses have not considered investing in AI
technology.
Furthermore, according to Narrative Science, 61% of companies
investing in innovative strategies are using AI to identify
opportunities that they would have otherwise missed. For
pharmaceutical businesses that thrive on innovation, this is an
important statistic to understand.
14. 14
• Disease Identification
• Radiology And Radiotherapy
• Clinical Trial Research
• Drug Discovery
• Personalized Medicine & Rare Disease
Identification
15. 15
Disease Identification
Berg, an innovative US biopharma company, is
using AI to research and develop diagnostics
and therapeutics in the fields of oncology,
endocrinology, and neurology.
Their unique AI-based Interrogative Biology
platform combines patient biology and AI-based
analytics to identify differences between healthy
and disease environments.
16. 16
Radiology & Radiotherapy
This is an area in which AI has been speculated to
play a major role in the future.
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 organs at risk.
17. 17
Clinical Trial Research
Advanced predictive analytics can analyze
genetic information to identify the appropriate
patient population for a trial.
Artificial Intelligence can also determine the
optimal sample sizes for increased efficiency
and reduce data errors such as duplicate
entries.
18. 18
Drug Discovery
A study published by the Massachusetts Institute of
Technology (MIT) has found that only 13.8% of drugs
successfully pass clinical trials. Furthermore, a company
can expect to pay between $161 million to $2 billion for any
drug to complete the entire clinical trials process and get FDA
approval.
With this in mind, 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 offering them more treatment choices.
19. 19
Personalized Medicine & Rare
Disease Identification
Using AI, body scans can detect cancer and other diseases early,
as well as predict health issues people might face based on their
genetics.
Although far from perfect, IBM Watson for Oncology is currently the
leader in AI for personalized treatment decisions in the oncology
space.It uses each patient’s medical information and history to
optimize the treatment decision-making. Recently, Watson correctly
diagnosed a rare form of leukemia in a patient originally thought to
have acute myeloid leukemia. It reportedly examined millions of
oncology research papers in 10 minutes after which it successfully
diagnosed the patient and recommended a personalized treatment
plan.
21. 21
Recent AI Adoptions
1. Novartis uses AI to predict untested components
researchers should explore to find new cures
2. IBM Watson helps match patients with the right
drug trials
3. Verge Genomics uses AI to predict the effect of
new treatments for patients suffering from ALS &
Alzheimer’s
4. Bayer and Merck & Co uses AI algorithms to
identify pulmonary hypertension 21
22. 22
5. Tencent Holdings leverages AI to remotely monitor
patients with Parkinson’s
6. Mission Therapeutics uses AI to develop treatments
for Alzheimer’s
7. Healx uses AI to help biotech companies find
treatments for rare diseases
8. AiCure & AbbVie use image recognition to improve
drug adherence
9. Santen and twoXAR are using AI to develop drugs for
glaucoma 22
23. 23
10.AstraZeneca and Alibaba build AI to help patients
with automated cancer diagnostics
11.Apple uses AI to screen children for autism
12.GNS Healthcare and Genentech use AI to develop
new cancer therapies
13.Deep 6 uses AI to proactively find drug trial
candidates
23
24. 24
Risks & Disadvantage
Associated with AI
• As theoretical physicist Prof.Stephen Hawking had said that human
efforts to create machines that can think are a huge threat to the
existence of human race & the race to develop a complete human AI
could mean that the human race would come to an end in the future.
• High cost - creation of AI requires huge costs as they are very
complex machines
• Unemployment - AI can cause unemployment as things would be
automated in this system as there is need of less human labour
• No Match For Human Brain Intelligence
• No Improvement With Experience
• No Original Creativity
24
25. 25
Conclusion
AI is doubtless the next big thing for pharma.
Companies that are more flexible and adopt AI faster
will likely gain a strategic advantage. In fact, experts
anticipate that implementing AI will soon be necessary
to compete in the industry.
However, the transformation will not happen overnight.
Instead, it will gradually occur over the next 10 or 20
years.
By then, AI is expected to be integrated into most, if
not all, pharma R&D operations. In turn, this should
theoretically improve the drug development success
rate and streamline R&D efforts.
27. 27
ACKNOWLEDGEMENT
I would like to express my special thanks of gratitude to
my teacher, my guide, my mentor
Mr. Deepak Sarangi
M.Pharm(Pharmaceutics)
Assistant Professor
Rips, Berhampur
who gave me the golden opportunity to do this wonderful
project on the topic "ARTIFICIAL INTELLIGENCE” which
also helped me in doing a lot of research.
I am really thankful to him.
27