Machine learning is changing the way we live, impacting everything from the tech industry to agriculture, insurance, banking, and even marketing. However, the domain where ML is having the most important impact is healthcare. ML applications in healthcare combine the processing power of millions of human minds to accelerate and revamp such fields as diagnostics and medicine, changing the way we live and working to increase longevity.

1. 5 Ways Machine Learning
Is Revolutionizing the
Healthcare Industry
Last updated on October 17, 2022 Dash Technologies Inc Healthcare, Machine Learning
Machine learning is changing the way we live, impacting everything from the tech
industry to agriculture, insurance, banking, and even marketing. However, the domain
where ML is having the most important impact is healthcare.
ML applications in healthcare combine the processing power of millions of human
minds to accelerate and revamp such fields as diagnostics and medicine, changing
the way we live and working to increase longevity.

2. The Role of Machine
Learning in Healthcare:
Although computers and robots will probably likely never completely replace nurses,
doctors, and other essential healthcare professionals. ML is now being used in
healthcare to give superior patient care and has provided real-world results.
• According to a recent Forbes article, machine learning will become over a $6.6
billion investment for healthcare in 2021.
• ML is revolutionizing the healthcare industry and changing the way doctors
think about providing care by reducing time wastage and other mistakes
attributed to human error.
• Today, machine learning supports personalized care through improved
diagnostics, predictive analysis, and prescriptive healthcare
recommendations.

3. What Makes Machine
Learning Essential
Healthcare?
Machine learning algorithms swiftly process huge datasets and give useful insights
that allow superior healthcare services. Although the healthcare industry was hesitant
to adopt machine learning, it is now quickly catching up to provide successful
protective and prescriptive healthcare solutions.
Hospitals by and large are quickly making room machine learning programs because
of their ability to swiftly analyze voluminous datasets and classify patterns in order to
provide more accurate diagnoses and better patient care.

4. Instances Using Machine
Learning in Healthcare:
As the development of machine learning solutions has become more mainstream and
cost-effective, real-world integrations have helped hospitals and the healthcare
industry differentiate themselves. For example:
• In an article published by CB Insights, ML is being leveraged by 22 healthcare
companies to make new programs for diagnostics and imaging. This field is
apt for the application of machine learning because computers and deep
learning algorithms are good at understanding and recognizing patterns, which
is of prime importance in diagnostics.
• Pathway Genomics is working on creating a one-of-a-kind blood test, which can
determine whether early detection or prediction for that matter of certain types
of cancer is possible or not using the application of ML.
• Similarly, a health data science company, Lumiata, is working on developing
predictive analytics tools for discovering insights and making predictions for
symptoms, procedures, diagnosis, and medications for patients.

5. Ways Machine Learning is
changing the Healthcare
Industry:
Machine learning is advancing healthcare for generations to come in five major ways.
Drug Discovery
Machine learning established new methods in drug discovery, such as precision
medicine and next-generation sequencing, which can ensure a drug has the intended
effect on patients. With the implementation of machine learning techniques, medical
experts can develop algorithms to treat disease progression and design specific
treatments for each patient, like those with Type 2 diabetes.
Identifying Disease & Their Symptoms
Machine learning aids medical experts in determining the risk for each patient,
depending on their symptoms, past medical records, and family history. ML

6. streamlines the process of finding treatments for evolving illnesses, as well as helping
researchers to track possible pandemics and to understand better why some
diseases are more prevalent in specific cultures and demographics.
Help to Create New Diagnostic Tools
Modern hospitals are high-tech environments run by advanced machines and the staff
who are trained. The hospitals are increasingly shifting towards automation, to a
future where diagnoses can be made accurately. Machine learning can accelerate
disease diagnostics and make the risk of misdiagnosis less likely.
Virtual Assistants
Using the real-time data analysis process of machine learning, a future healthcare
trend could be giving patients the independence of tracking their own vitals with the
guidance of a wearable device integrated w/ machine learning software. This could
be instrumental in tracking the next step for patients, dietary guidance based on a
condition, or to track and respond to major vital spikes.
Clinic Performance
Something that is too often overlooked by the general public is the need for hospitals
and clinics to align themselves with evolving compliance protocols. With the
implementation of ML techniques, it becomes easier for hospitals and clinics to keep
track of new or changing policies. Machine learning takes the guess work out of the
protocols to treat patients.

7. How Does Machine Learning
Helps to Fight COVID-19?
Researchers around the world work to found out how ML can help in fighting the
epidemic. In order to streamline processes, the integrations worked wonders in
finding a vaccine.
Without the advancements made by machine learning processes, vaccines for COVID-
19 may have taken years to develop. Using machine learning, scientists were able to
identify and isolate the SARS-CoV-2 genome and test treatments. Machine learning
allowed for scientists to accelerate research, forecast the virus’s evolution, and create
COVID-19 vaccinations.

8. Where to find Machine
Learning Experts?
Although the popularity of machine learning is growing inside of healthcare, the
supply of specialists is fairly low. Dash Technologies have become a leader in
machine learning tools and techniques by gathering machine learning specialists
from various industries to provide support to our clients.