Artificial Intelligence which is simply known as AI, is a rapidly growing technology that finds applications and uses cases in all aspects of the businesses. AI is one of the smartest technology that helps the industry to become smarter and advanced. Every industry taking huge benefits from AI for better management, production, and customer experience. Artificial Intelligence has overtaken beyond our thinking and day by day it is bringing new innovation and advancement in every sector. Because of this, Govt and industrialists are investing more in Artificial Intelligence. As per the Tractica reports, the global artificial intelligence software market is predicted to grow from $10.1 billion in 2018 to $126 billion by 2025. Through this prediction, you can assume the rising demand for AI in the near future.
Apart
from the AI introduction, if we talk about the roles of Artificial Intelligence
in the pharmaceutical Industry then we came to know that the pharmaceutical
industry totally changes as compared to before and its effect of Artificial
Intelligence is undeniable. The pharmaceutical industry is already finding
innovative and smarter ways to use this technology to resolve some of the
significant issues facing the pharma sector. Many pharmaceutical companies
around the world have already begun to utilize AI in their business. In
almost every field of the pharmaceutical business, AI can be applied, from drug
discovery and development to production and marketing. Pharmaceutical companies
can make all business processes efficient, cost-effective, and hassle-free by
leveraging and integrating AI systems in key workflows. By developing new and
existing business models, Artificial Intelligence develops the value
proposition of pharmaceutical companies. Not only Artificial Intelligence can
beneficial for the treatment of patients and offer care solutions, but it can
also optimize the industry.
Pharmaceutical
companies around the world are developing advanced AI-powered algorithms to
smooth the process of drug innovation. In large datasets, these technology
tools are designed to detect complex patterns, and therefore, it can be used to
solve problems related to complex biological networks. This technology can help
to research and understand the patterns of different diseases and to identify
which drug formulations are better suited for the treatment of particular types
of a specific disease. Pharmaceutical companies should invest in the Research
& Development of those medicines that are most likely to cure a disease or
medical condition effectively.
Diagnosis
Physicians
can use advanced machine learning systems to collect, process, and analyze
patient health care data. Healthcare professionals are using deep learning and
AI to safely store patient data in the centralized database system or cloud.
This is known as EMR (Electronic Medical Records). Physicians use these records
to understand how specific genetic traits can have an effect on the health of a
patient or how new drugs can improve the health of that patient. They can also
have a clear idea of the diseases and recommend the medicines that are most
appropriate for the treatment. Such electronic health notes save time and
expenses.
Drug discovery and Design
AI
plays a role in drug target identification and validation, target-based,
phenotypic, and multi-target drug discoveries, drug repurposing, and biomarker
identification, from the design of new molecules to the identification of novel
biological targets. The key advantage for the pharma industry is the ability of
AI, especially when implemented during drug trials, to reduce the time it takes
a drug to get approval and reach the market. This will result in
significant cost savings, which could mean lower-costs drugs for patients, as well
as more treatment options.
During
the process, where various biomedical data is generated, identifying new
patterns in that information can be easily done by Artificial Intelligence and
these all kinds of data can be analyzed using AI and later utilized to create
unconventional solutions for drug discovery.
Identifying clinical trial candidates
Healthcare
organizations can take out appropriate EMR data with Artificial Intelligence to
go through physician notes. The information gathered can later be used to
determine the right patients for the trial procedure. Artificial Intelligence
not only helps to understand clinical trial data but also helps the
pharmaceutical industry to find patients to participate in clinical trials. AI
will analyze genetic data in order to assess the appropriate patient population
for a clinical trial and identify the appropriate sample size. This technology
can read free-form text that patients enter into clinical trial applications as
well as unstructured data such as doctor's notes and intake records.
Manufacturing Improvements
In
the pharmaceutical manufacturing process, AI provides many resources to enhance
the production processes. It can perform various management options in
manufacturing procedures that include quality control, reduce design time,
predictive maintenance, Improvement of production reuse, reduction in waste
materials and many more. With faster performance and less waste, AI can be
used in several ways to make production more efficient. Artificial Intelligence
would remove any older processes that would usually rely on the need of human
intervention or input, reduce the human error.
Epidemic Prediction
Pharma
Industries are using AI technologies to monitor and assess the spread of
infections worldwide based on web-based data, social and digital platforms,
satellites, and other popular sources. Such models of artificial intelligence
are particularly advantageous for underdeveloped countries lacking medical
infrastructure and a financial system to battle infection spread. For example,
the Machine Learning based Malaria Outbreak Prediction Model' serves as an
early warning tool to predict potential malaria outbreaks, raise awareness
among peoples, and allows healthcare providers to take better decisions faster
and quicker.
Rare Diseases and Personalized Medicine
Based
on their full medical data, artificial intelligence may be used to develop
personalised treatments for individuals. Personalized medicines can be
recommended to patients that will help the patient recover easily and quickly.
Not only does artificial intelligence prove helpful in assessing the outcome of
current medical care but it can also predict the likelihood that the patient might
suffer from future diseases. AI is also used to create customised drug
therapies based on the test results of an individual, reactions to past drugs
and historical drug reaction data of patients.
Drug Adherence and Dosage
Ensuring
that voluntary participants in clinical trials comply with a drug study
protocol is a major challenge for pharmaceutical companies. If the trial
rules are not followed by patients in a drug study, they must either be
excluded from the study or risk corrupting the results of the drug study. One
of the significant factors of an effective drug trial is ensuring that at the
prescribed times, patients take the required dose. That's why it's so important
to provide a way to ensure drug adherence and AI technology help to get required
dosage.
Conclusion
Nowadays,
Artificial Intelligence plays a big role in Pharmaceutical Industry Not only
pharma industry but also many companies are started adopting AI technology and
brining revolution in industries. In Coming days, AI will totally change the
pharma and healthcare Industry and completely change the way of treatments of
patients.
Also Read: How
Artificial Intelligence can be beneficial for us and some Risks
So
these are the keys role Artificial Intelligence in the Pharmaceutical Industry and if you want to start your career in Artificial Intelligence and want
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