Role of Artificial intelligence in precision medicine - Pubrica
                     ROLE OF ARTIFICIAL  
INTELLIGENCE IN  
PRECISION MEDICINE
An Academic presentation by
Dr. Nancy Agens, Head, Technical Operations, 
Pubrica  Group: www.pubrica.com
Email: [email protected]
Today's Discussion
Outline
In-Brief  
Introducti
on
Rise of Medicine Practice  
Precision is Impossible without 
AI
Does Artificial Intelligence End 
with Compassion
Conclusion
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.
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.
Contd..
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.
Rise of  Over the past years, medical care gives only generalized 
Medicin  solutions for all the health issues that will treat many  
e  patients with similar symptoms.
Practise 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.
Contd..
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
c linical experimental design, they started using alternative therapies, preferably
modern medicines.
Contd.
.
People with 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 a rtificial intelligence tools.
Precision  
is  The National Institutes of Health states that  
precision of medicine is 'a developing approach for 
Impossibl  disease treatment and prevention that calculates 
e  without  individual variability in genes, environment and
lifestyle for every patient.
AI
This approach helps the doctors and researchers in 
 predicting more accurate treatment and prevention  
strategies on a particular disease that will work  
formany people.
Contd.
.
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.
Contd..
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 e xperimental research design purposes.
Contd..

Does  
Out of all advantages, ethical considerations and legal 
Artificial   issues are there.
Intelligence 
 End with  It comes to health; this becomes a more significant 
 moral issue.
Compassio
n 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 severe disadvantages in the medical sector.
Contd..
Focussing on prediction are mediated based on precedence when it comes to 
 machine learning.
Still, algorithms can be under performing 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.
Contd.
.
Data analysis should support the skills of physicians and is not meant to replace 
 the traditional physician-patient relationship.
The actual e xperimental research designs will follow all the moral values before 
the  production of an accurate medicine
Conclusion
However, the cultural transformation, digital health,  
the hierarchy of traditional medicine is transferring into  
an equal level 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 e xperimental design purposes  
with the help of pubrica.
Contact 
Us
UNITED KINGDOM
+44-1143520021
INDIA
+91-9884350006
EMAIL
[email protected]