Artificial intelligence and its applications in healthcare and pharmacy
M.Pharm, 2nd Semester
Assam Down Town University, Guwahati
Intelligence of machines and the branch of computer
science which aims to create it.
“Machines will be capable, within 20 years, of doing any
work a man can do.” –Herbert Simon, 1965(AI
Three elements of AI
Massive amount of data
High performance parallel
The Turing test
Problems of AI/ Challenges
Reasoning, Problem Solving
Natural language processing
Integrating the approaches
Healthcare and Medicines
Finance and economic
AI in Healthcare
Managing Medical Records and other data
Doing repetitive jobs
Healthcare System Analysis
0 10 20 30 40 50
Adm. workflow Assistance
Dosage error Detection
CT Participant Identifier
Advance Image Diagnosis
Fig: Estimated potential annual benefit for each
application by 2026(in billon USD)
annual benefit for each
application by 2026(in
Source: Accenture Analysis
Total= $150 Billions
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.
Merck partnership with Numerate in March 2012
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 immuno-
2015- Report by Pharmaceutical Research and
Manufacturers of America- more than 800 drugs and
vaccines are in trial phase to treat cancer.
Google’s DeepMind Health, announced multiple
partnerships including some eye hospitals in which
they are developing technology to address macular
degeneration in aging eyes.
Oxford’s Pivital® Predicting Response to Depression
Treatment (PReDicT) project is aiming to produce
commercially-available emotional test battery for use
in clinical setting.
Micro biosensors and devices, mobile apps with more
sophisticated health-measurement and remote
monitoring capabilities; these data can further be used
DermCheck; app available in Google play store in
which images are sent to dermatologists(human not
From initial screening of drug compounds to predicted
success rate based on biological factors.
R&D discovery technology; next-generation
Previous experiments are used to train the model
Optimization softwares (example: FormRules)
Designing of the processes
Clinical Trial Research
Machine learning- to shape, direct clinical trials
Advanced predictive analysis in identifying candidates
for clinical trials
Remote monitoring and real time data access for
increased safety; biological and other signals for any
sign of harm or death to participants.
Finding best sample sizes for increased efficiency;
addressing and adapting to differences in sites for
patient recruitments; using electronic medical records
to reduce data errors.
Epidemic Outbreak Prediction
To predict malaria outbreaks, from data like
temperature, average monthly rainfall, total number of
positive cases, etc.
ProMED-mail is a internet based reporting program
for monitoring emerging diseases and providing
Radiology and Radiotherapy
Google’s DeepMind Health is working with University
College London Hospital (UCLH) to develop machine
learning algorithms capable of detecting differences in
healthy and cancerous tissues.
Smart Electronic Health Records
AI to help diagnosis, clinical decisions, and
personalized treatment suggestions.
Handwriting recognition and transforming cursive or
other sketched handwriting into digitized characters.
Regulating Use of Artificial Intelligence
in Digital Health Products
Incomplete insight from US FDA for products utilizing AI.
Medical devices provisions of Federal Food, Drug and
FDA created Digital Health Program tasked with
developing and implementing a new regulatory model for
digital health technology.
Over the last five years different guidelines like Mobile
Medical Applications Guidelines.
AI in Clinical Research
Improving trial quality
Improving trial time by almost half
Finding biomarkers and gene signatures that cause
Recruiting trial patients in minutes
Reading volumes of text and data in seconds
On verse of discovering involving new diagnostic tools
and treatments for Alzimer’s disease, cancer, and other
chronic and terminal illness.
B Aksu, A Paradkar; Quality by design approach: Application of
Artificial Intellegence Techniques of Tablets Manufactured by Direct
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JA Dimasi, RW Hansen; The price of innovation: new estimates of drug
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S Behjati and PS Tarpey; What is next generation sequencing?; Arch
Dis Child Pract Ed;2013; 98(6); 236-238