Role of Artificial intelligence in precision medicine - Pubrica
                     Role of Artificial Intelligence in Precision Medicine 
 
 
Dr. Nancy Agens, Head, 
Technical Operations, Pubrica 
[email protected] 
 
 
 
In-Brief advanced analytics, production of 
 precision medicine. It's unnecessary to 
The most significant developments in waste time in developing treatments for 
medical care are precision medicine for huge populations and making medical 
recent years, influences potential growth decisions identifying the physical 
in symptom-driven medical practice. characteristics of patients. Medicine is 
Experimental research design on the growing towards prevention, 
development of medicine using artificial personalization and precision. Artificial 
intelligence is still challenging in the intelligence is the critical tool to achieve 
healthcare field. Pubrica helps you to modern medicine. Clinical study design 
understand the role of artificial should have a clear idea about the precise 
intelligence in the production of precision treatment using artificial intelligence with 
medicine. the help of Pubrica. 
  
Keywords: Experimental research design, II. THE RISE OF MEDICINE PRACTISE 
clinical experiment design, Experimental  
Design, quasi-experimental research Over the past years, medical care gives 
design, research design, experimental only generalized solutions for all the health 
study design, a guide to experimental issues that will treat many patients with 
design, clinical study design, similar symptoms. Cough syrup can apply 
experimental design in research, clinical to the majority of coughing masses 
trial design,  experimental research patients, and it creates allergic reactions to 
design, True Experimental Research very few people. It is essential to find 
Design,  alternative medicine for such cases or to 
 create an accurate treatment of therapy 
I. INTRODUCTION using emerging technologies. Experiences 
 and available pieces of evidence on the 
The core of medical practice has to collect working methods of the medical 
a collection of massive data about the community begin in the twentieth century. 
patient's health significantly fast and The detection of bacteria or viruses, the 
making decisions accordingly.  The development of new pharmaceutical tools 
physicians use artificial intelligence tools and medical techniques using AI is leading 
for their judgement, problem-solving as the healthcare towards the development of 
they have minimal resources, due to this a fresh start of the century. The evidence-
emerging transformation and disruptive based medicine gets a place from the 
technologies in digital healthcare. Major experience-based medicine using 'trial-
technologies involved in the process of and-error'. To prove the efficacy of 
medicine are genomics, biotechnology, treatments and diagnostics in scientific 
artificial intelligence. The three significant research and clinical experimental design, 
benefits are giving sufficient care to they started using alternative therapies, 
patients, collection of massive data with preferably modern medicines. People with 
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allergic reactions after consuming cough cognitive capabilities of physicians on a 
syrups are prescribed not to use it as they new trend (AI). The supercomputers have 
found extensive precision medicine for become a battleground for countries 
cough. It gives alternative solutions for demonstrating their power through them. 
some medical issues using AI tools. Many Deep learning algorithms help in 
disruptive technologies like cheap genome diagnoses at least as well as physicians in 
sequencing, advanced biotechnology, cardiology, dermatology and oncology. It 
health sensors for the patients, data is essential to emphasize the uses of 
collection about patients health, hand-held combining such algorithms under the 
medical devices, provides a vast guidance of physicians. The grand 
significance in the twenty-first century challenge of the biomedical imaging on an 
under the name of digital health with international symposium,  metastatic 
smartphones and digital trackers even at breast cancer is detected in full slide 
their home. Now the physicians can't work images of the sentinel lymph node. The 
on the absence of artificial intelligence success rate of winner algorithm is 92.5%. 
tools. 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 
 
III. PRECISION IS IMPOSSIBLE questions today than we face with public 
WITHOUT AI discussions worldwide are there, and this 
 gives a clear image as AI is becoming a 
The National Institutes of Health states reality. AI also has severedisadvantages in 
that precision of medicine is 'a developing the medical sector. Focussing on 
approach for disease treatment and prediction are mediated based on 
prevention that calculates individual precedence when it comes to machine 
variability in genes, environment and learning. Still, algorithms can be 
lifestyle for every patient.This approach underperforming in novel cases of drug 
helps the doctors and researchers in side effects or treatment resistance where 
predicting more accurate treatment and there is no previous example to build on. 
prevention strategies on a particular Precision medicine needs a myriad of 
disease that will work formany people. It disruptive technologies to be activated into 
requires significant computing power developing treatments, practising 
(supercomputers)and algorithms that can medicine, and providing care. Data 
learn quickly by themselves at an analysis should support the skills of 
extensive rate (deep learning) and physicians and is not meant to replace the 
generally, an approach that uses the traditional physician-patient relationship. 
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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. 
 
 
 
 
 
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