Medical devices are becoming more and more implemented for use at home and in parallel, the interest from humans in their own health is increasing. Age-related diseases such as diabetes, cancer, and dementia, to name a few, are examples of diseases that with an early diagnosis could be prevented. To find out if there are early indications of the disease in the body, it is necessary to measure biomarkers. These can be measured either invasive or non-invasive and today they are often measurable only clinically at a hospital, but how can people measure these at home by themselves? To investigate this, a literature study has been done with focus on age-related diseases. A total of 49 abstracts were read through to determine relevance to the questions of inquiry and three articles were mainly used in the literature study. It was found that there is research focusing on the use of biomarkers to identify and do earlier diagnosing of age-related diseases. Methodology and technology for measuring glucose to identify diabetes are implemented, and a change in lifestyle can prevent a person from being affected by type 2 diabetes. With this knowledge, it is easier to see opportunities for other diseases by using the same type of method and technology further on. A previously conducted study regarding diabetes focus on dietary variations and physical activity for non-diabetic people. Meanwhile in the cancer and dementia area, where the developments are not as successful, the focus is on earlier diagnosing by combining technologies. In the future, the technology should be developed so that biomarkers can be used as indicators of the diseases cancer and dementia, and not just as a complement to already applied technology such as imaging techniques that are available today.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-481717 |
Date | January 2022 |
Creators | Abrahamsson, Josefine |
Publisher | Uppsala universitet, Institutionen för materialvetenskap |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
Page generated in 0.0022 seconds