Computers can detect your metabolic syndrome and are helping human beings correct their distorted metabolism. A recent research about system modeling was published in April 2016’s ‘the Lancet journal of diabetes and endocrinology’.

According to Clare Sansom, a Cambridge-based science writer, System modeling is the latest technology that uses computerized models to conceptualize various biological or mathematical procedures.

The diagnostic tests used for the detection of metabolic diseases require expensive screening procedures. Whereas, in system modeling computer models and software can be used to detect the disease causing characters at a very early stage.

It is a very cost effective method and uses demographical data. In the US, 20% of health care cost is spent on the conditions that are prevalent in metabolic syndrome.

Computer Can Detect Your Metabolic Syndrome: How System Is Aiding Doctors to Treat Metabolic Syndrome

The metabolic syndrome is diagnosed generally by screening tests. Blood or urine samples are used to detect metabolic disorders like diabetes and kidney disorders.

The superiority of computerized modeling system over screening test is its availability to even diagnose the risk factor of metabolic syndrome at an early stage.

Thus, the onset of metabolic syndrome can be prevented in a cost effective manner. Diabetes especially type 11, is the most common example of the metabolic disorders.

The computer-based predictor evaluation can pinpoint the individuals who have high chances of developing the disease without the physical examination. Therefore, better management of the disease at an earlier stage would be possible

  • This cutting edge technology can turn out extremely beneficial as it would provide an alternative strategy to predict and track down the disease manifesting symptoms on initial stages using computer software and tools.
  • This cost effective method of prediction can replace clinical examination procedures by computer programs to identify the susceptible individuals for a metabolic disease by checking the indicators from demographic databases on individual level.

What is Metabolic Syndrome

The rate of spread of metabolic syndrome is alarming because it increases the risk factor for stroke twice while increases the risk factor five times for diabetes. Any disease that disrupts normal metabolism of the body is known as a metabolic disorder.

Different enzymes run major functions in the body. When a specific enzyme fails to perform its task, either too much or fewer quantities of required substance are produced.

The most common metabolic disorders include risk factors: high blood sugar, large waistline, high blood pressure, low HDL and high triglycerides level.

The inherited metabolic syndromes occur due to faulty genes, usually the diagnosis for metabolic disorder includes screening at genetic level which is an expensive procedure.

[box style=”0″] Available System Models Aid In Different Medical Diseases Like Early Detection of Metabolic Diseases, Monitoring Glucose Levels, Monitoring Metabolic Pathways Of Fats And Insulin Pathways, Monitoring Immunity And Inflammation, And Monitoring Chronic Inflammation Induced By Aging. [/box]

Early Detection of Metabolic Diseases

Lidia Manero is a member of Medtronic Ibérica, a Spanish company that is funded by Europe. The researcher has developed a specialized program which allows tracing the individuals who have greater chances of developing metabolic diseases.

The program uses demographical data. This system would help doctors to pinpoint the individuals at a risk and appropriate care can be taken to avoid serious diseases.

Monitoring Glucose levels

Massachusetts General Hospital is the largest teaching hospital situated in Boston, the US. The hospital has a widespread research facility affiliated with Harvard Medical School. The researchers Roy Malka, David Nathan and John Higgins have developed a mathematical model for monitoring glucose concentration via HbA1c.

HbA1c is a laboratory test which is used to check the serum glucose levels over a period of three months. It is a test which needs blood sample drawn from a vein. Generally only glucose levels are tested in this test.

The model developed by these scientists combined the data obtained from blood glucose levels with red blood cells. The age of red blood cells also affects the glucose levels. Thus, more reliable results can be achieved.

Monitoring Metabolic Pathways Of Fats And Insulin Pathways

Several other models have also been devised to facilitate the understanding of the complex mechanisms associated with major metabolic disorders. Two well-reputed researchers Jonathan Wattis of the University of Nottingham, the UK and Gunnar Cedersund from Linköping University, Sweden, presented their models associated with the metabolic pathways of fat and insulin metabolism.

Monitoring Immunity And Inflammation

Several computerized models based on the physiological processes have also been developed. A scientist from the New York School of Medicine known as Franco Celada created a model related to immune system. He linked his model to the diabetes, inflammation and immunity.

Monitoring Chronic Inflammation Induced By Aging

An Italy-based scientist Claudio Franceschi from the University of Bologna worked on the inflammaging, a phenomenon which is characterized as chronic inflammation induced with aging.

He explained that there are certain infections associated with diabetes which can also be found in age related inflammatory diseases.

Why We Needed A System Modeling To Counter Metabolic Syndrome?

The conventional methods used for diagnosing metabolic diseases are expensive. On the other hand, system modeling has a potential to counter metabolic diseases on initial levels.

It is highly specialized yet cost-effective technique and has a potential of revolutionizing the field of biomedicine. The computer models are easy to use and numerous metabolic syndromes can be diagnosed, controlled and treated with efficacy before the onset of fatal diseases.