The medical field has come a long way in diagnosis and treatment of diseases. With new diseases on the rise globally, researchers and medics have felt the need to explore personalized and predictive medicine.
Predictive medicine is revolutionary because it can predict any on coming disease in an individual and help to take actions accordingly. It can prevent the onset of the disease as well as reduce the harmful impact of the same.
This field of medicine uses indications from tests, biomarkers or phenotypic characteristics and studies the personal genetic factors. For example, predictive medicine is very beneficial in treatment of cancer, Alzheimer, diabetes etc. Genetics and Epigenetics prove that different people require different treatments for disease management.
Personalized medicine, also called precision medicine by some people, works to categorize people according to symptoms and traits. Tests are done and patients are treated accordingly with the best suited interventions, medical practices, treatments etc. It also caters to factors like the patient response to these treatments and the risks of side effects involved in them.
Predictive medicine works closely with Vivo Molecular diagnostics to detect localized diseases in patients, measure size of affected tissues, and prove the effect of medicines on a particular region within the body.
The PET scan or the positron emission tomography also falls under the umbrella of predictive and personalized medicine. Images of organs recorded in this scan give an insight about hormones, enzymes, DNA, metabolism etc. which in turn help to diagnose and predict any oncoming illnesses.
This medical technology faces some hurdles too. Huge volumes of data have to be collected from various sources and analyzed for the best way forward. There is still a lack of coordination between the various stakeholders like doctors, patients, vendors, and researchers. When this gap closes, healthcare management will improve.
Machine learning and Artificial Intelligence crucially support personalized and predictive medicine. They identify relationships between various diseases and life styles. Added Madman Technologies, known for providing technology services and solutions for several years now, are exploring this field to provide solutions in healthcare too.
There is more stress on prevention than cure. Since it’s predictive in nature, it reduces time, cost, and side effects. It also reduces failures in trial and error methodology.
Predictive medicine not only predicts onset of illness but also provides real time solutions for modifications and health management. The sensors used in this field go a long way in laying the path for better health care systems. Imagine the revolution in the area of medicine and the good it can do to the society as a whole.