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Role of Artificial Intelligence in Precision Medicine

Dr. Nancy Agens, Head,

Technical Operations, Pubrica

sales@pubrica.com

In-Brief

The most significant developments in

medical care are precision medicine for

recent years, influences potential growth

in symptom-driven medical practice.

Experimental research design on the

development of medicine using artificial

intelligence is still challenging in the

healthcare field. Pubrica helps you to

understand the role of artificial

intelligence in the production of precision

medicine.

Keywords: Experimental research design,

clinical experiment design, Experimental

Design, quasi-experimental research

design, research design, experimental

study design, a guide to experimental

design, clinical study design,

experimental design in research, clinical

trial design, experimental research

design, True Experimental Research

Design,

I. INTRODUCTION

The core of medical practice has to collect

a collection of massive data about the

patient's health significantly fast and

making decisions accordingly. The

physicians use artificial intelligence tools

for their judgement, problem-solving as

they have minimal resources, due to this

emerging transformation and disruptive

technologies in digital healthcare. Major

technologies involved in the process of

medicine are genomics, biotechnology,

artificial intelligence. The three significant

benefits are giving sufficient care to

patients, collection of massive data with

advanced analytics, production of

precision medicine. It's unnecessary to

waste time in developing treatments for

huge populations and making medical

decisions identifying the physical

characteristics of patients. Medicine is

growing towards prevention,

personalization and precision. Artificial

intelligence is the critical tool to achieve

modern medicine. Clinical study design

should have a clear idea about the precise

treatment using artificial intelligence with

the help of Pubrica.

II. THE RISE OF MEDICINE PRACTISE

Over the past years, medical care gives

only generalized solutions for all the health

issues that will treat many patients with

similar symptoms. Cough syrup can apply

to the majority of coughing masses

patients, and it creates allergic reactions to

very few people. It is essential to find

alternative medicine for such cases or to

create an accurate treatment of therapy

using emerging technologies. Experiences

and available pieces of evidence on the

working methods of the medical

community begin in the twentieth century.

The detection of bacteria or viruses, the

development of new pharmaceutical tools

and medical techniques using AI is leading

the healthcare towards the development of

a fresh start of the century. The evidence-

based medicine gets a place from the

experience-based medicine using 'trial-

and-error'. To prove the efficacy of

treatments and diagnostics in scientific

research and clinical experimental design,

they started using alternative therapies,

preferably modern medicines. People with

Copyright © 2020 pubrica. All rights reserved 2

allergic reactions after consuming cough

syrups are prescribed not to use it as they

found extensive precision medicine for

cough. It gives alternative solutions for

some medical issues using AI tools. Many

disruptive technologies like cheap genome

sequencing, advanced biotechnology,

health sensors for the patients, data

collection about patients health, hand-held

medical devices, provides a vast

significance in the twenty-first century

under the name of digital health with

smartphones and digital trackers even at

their home. Now the physicians can't work

on the absence of artificial intelligence

tools.

III. PRECISION IS IMPOSSIBLE

WITHOUT AI

The National Institutes of Health states

that precision of medicine is 'a developing

approach for disease treatment and

prevention that calculates individual

variability in genes, environment and

lifestyle for every patient.This approach

helps the doctors and researchers in

predicting more accurate treatment and

prevention strategies on a particular

disease that will work formany people. It

requires significant computing power

(supercomputers)and algorithms that can

learn quickly by themselves at an

extensive rate (deep learning) and

generally, an approach that uses the

cognitive capabilities of physicians on a

new trend (AI). The supercomputers have

become a battleground for countries

demonstrating their power through them.

Deep learning algorithms help in

diagnoses at least as well as physicians in

cardiology, dermatology and oncology. It

is essential to emphasize the uses of

combining such algorithms under the

guidance of physicians. The grand

challenge of the biomedical imaging on an

international symposium, metastatic

breast cancer is detected in full slide

images of the sentinel lymph node. The

success rate of winner algorithm is 92.5%.

A pathologist independently reviewed the

same pictures and got the success rate of

96.6%. The deep learning system's

predictions, the human pathologist's

diagnoses increase the success rate of

pathologist'sto 99.5%, an approximately

85% reduction in medical error rate for

experimental research design purposes.

IV. DOES ARTIFICIAL

INTELLIGENCE END WITH

COMPASSION

Out of all advantages, ethical

considerations and legal issues are there.

It comes to health; this becomes a more

significantmoral issue. More unanswered

questions today than we face with public

discussions worldwide are there, and this

gives a clear image as AI is becoming a

reality. AI also has severedisadvantages in

the medical sector. Focussing on

prediction are mediated based on

precedence when it comes to machine

learning. Still, algorithms can be

underperforming in novel cases of drug

side effects or treatment resistance where

there is no previous example to build on.

Precision medicine needs a myriad of

disruptive technologies to be activated into

developing treatments, practising

medicine, and providing care. Data

analysis should support the skills of

physicians and is not meant to replace the

traditional physician-patient relationship.

Copyright © 2020 pubrica. All rights reserved 2

The actual experimental research designs

will follow all the moral values before the

production of an accurate medicine

V. CONCLUSION

However, the cultural transformation,

digital health, the hierarchy of traditional

medicine is transferring into an equallevel

partnership between patients and doctors.

Despite many disruptive technologies, AI

has the significant potential to provide this

transition by analyzing the vast amounts of

patients data and healthcare sectors record

in every dimension. AI can only complete

its mission if it remains a safe and proven

aid in treating patients and improving

healthcare sectors for experimental design

purposes with the help of pubrica. REFERENCES

1. Mesko, B. (2017). The role of artificial intelligence

in precision medicine.

2. Ahmed, Z., Mohamed, K., Zeeshan, S., & Dong, X.

(2020). Artificial intelligence with multi-functional

machine learning platform development for better

healthcare and precision medicine. Database, 2020.

3. Krittanawong, C., Zhang, H., Wang, Z., Aydar, M.,

& Kitai, T. (2017). Artificial intelligence in

precision cardiovascular medicine. Journal of the

American College of Cardiology, 69(21), 2657-

2664.