EARLY DETECTION AND TREATMENT OF OSTEOPOROSIS
Bone Health Sensor
The Bone Health Sensor determines how high the risk of osteoporosis is and enables effective prevention.
The Bone Health Sensor determines how high the risk of osteoporosis is and enables effective prevention.
Osteoporosis is a common bone disease that primarily affects the elderly. Since an increasing loss of bone mass characterizes osteoporosis, it is often referred to as bone atrophy.
The further the bone density decreases as a result of the disease, the more porous the bones become, and the easier it is for patients to break bones. Over time, bone resorption can progress so far that even lifting a slightly heavier shopping bag can cause a fracture.
The risk of developing osteoporosis in women is significantly higher than in men. Around 80 percent of all cases affect women after menopause. Smoking also increases the likelihood of developing osteoporosis.
Additionally, we also know that various genes have an influence on bone density and are, therefore, directly related to the development of osteoporosis. Since the disease is often noticed quite late, genetic analysis is, therefore, a good way of detecting and treating bone loss at an early stage.
As part of our Bone Health Sensor, we analyze four genes relevant for osteoporosis and also examine the effects of the genetic profile on the intake of 26 different drugs.
In this way, we gain valuable insights to determine the individual risk of osteoporosis and, if necessary, make recommendations for prevention.
Once the study has been completed, we write a precise evaluation in which we present our test results in detail and assess the probability of bone loss.
The Bone Health Sensor can thus make a valuable contribution to early detection and help patients to counteract their osteoporosis in a timely manner.
The DNAhealth Control analyzes are not offered by Novogenia.
After a successful analysis, we summarize the individual results in a detailed result report. You will also find information on the analyzed genes and the underlying science in this demo.
We would be happy to send you the demo report. Just send us an email with the name of the analysis.
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