A study on the application of machine learning techniques to personalized medical care in the treatment of Alzheimer’s disease (AD)

Artificial intelligence plays a vital role in predicting and contributing
much in the health care department to personalize the medicines
for the patient affected by a neurological disorder. The causes for
the neurological disorder may vary from infections, injury on the
brain, spinal cord, or in the nerve, congenital abnormalities, and
the lifestyle of an individual, environmental health problem like
malnutrition, polio, or genetic disorder. Personalized medicine
is a sort of customized medicine for the patients by getting the
information about a person’s genes, proteins to thwart, diagnose
or know the form of medicine to treat the diseases. Traditional
medicine may limit to cure of the disease by taking a long duration
of time or might cause some side effects. This can be conquered
by personalized medicine by taking care of every person’s genetic
information and framing the more effective drugs which help in
preempting disease progression by choosing the medicine which
exactly suits and works well on the patient’s body condition. The
advantage of this personalized medicine in health care is that it
reduces the cost, the occurrence of failure rate in pharmaceuticals
clinical trial, eliminate trial and error form medicine, and lastly, time
consuming. In this proposed work, we take hold of a study on one of
the major neurological disorders called Alzheimer’s disease (AD) that
could be prevented or the risk factor can be reduced by applying the
customized medicine approach by artificial intelligence techniques.
Artificial intelligence helps to generate deep knowledge in finding
the cause of diseases and allow the system to learn, reason, and
authorize some clinical decision through augmented intelligence.