Today chronic diseases are quite widespread in society, their symptoms can change regularly and affect different systems of the human organism. Each year the situation may even get worse since chronic diseases occur in much younger people, not just in the elderly. Thus, these illnesses require constant and stable management and treatment, even though these are long-term diseases that can even get worse in patients’ health conditions and change their way of living.
Chronic illnesses can be accompanied by functional impairment, stress, and another long disease that generally can’t be cured completely. Some chronic illnesses can be even life-threatening like stroke and heart disease or have prolonged latency from their onset and first symptoms like diabetes and arthritis.
Nowadays, the most common chronic diseases that occur in people worldwide and particularly in the United States are heart disease, stroke, cancer, diabetes, chronic kidney disease, dementia, Alzheimer’s disease, and osteoporosis. So, general practitioners, narrow-specialized doctors, and other healthcare providers should apply responsible treatment for chronic diseases, effective measures, and permanent medical care to control symptoms. Also, they should build a trusted support network with nurses and patients to choose fitting therapy and find a personalized approach for everyone.
By applying precision medicine approaches for chronic diseases treatment, medical experts will succeed to target the right treatment for the right patient to gain more efficient and exact outcomes, define the specific illness occurrence, its progress stage, and will select the most fitting ways to treat and control its course. It involves advanced technologies like:
- Multi-omic methods discover the issue across numerous biological levels and detect multi-gene defects in the particular illness.
- Machine learning is used to detect the disease earlier by data mining using chronic disease datasets.
- Imaging technologies are effective in capturing cellular interaction to track the efficiency of new treatments.
- Artificial Intelligence techniques are useful to diagnose, predict, and outline the chronic illness stage, major symptoms, and mortality level, build models for future prediction of the disease flow, and proper treatment choice.
When speaking about Alzheimer’s disease treatment, we should consider that this illness may not have a cure and can last for a long period proceeding to dementia.. When using common drugs to treat AD pathologies, doctors tackle a problem of a protective barrier called BBB, known as the blood-brain barrier. To solve it they use advanced treatments that are modern alternative methods that help to overcome drug transporting through the BBB.
The matter is that when using drugs to treat cognitive impairment in AD there’s a weak drug absorption in neuronal cell membranes that leads to toxic effects on brain stability loss and other pharmacokinetic symptoms. Hence, applying nanoparticles enables to cross the BBB will fix key biomedical issues in the treatment of AD.
With the help of nanomedicines, bioengineering succeeded in resolving the problem of transporting biomolecules in/out of the brain’s neural system with no side effects. The clinical investigations claim that thanks to nanomedicines, it increases brain favorability, stability, better bioavailability, biocompatibility, and smooth drug delivery to treat Alzheimer’s.
The same refers to diabetes treatment: the disease isn’t curable, but with the help of proper measures it can go into remission. Thanks to nanotechnology application, it became easier to measure and control glucose level and insulin delivery. With glucose sensors, it’ll be much easier to monitor the glucose level, nanoscale components will facilitate insulin release in case of the blood glucose level is increasing. Nanotechnologies promote better sensing of insulin and defining its accurate dosing to treat diabetes more efficiently.
So, precision medicine and nanotechnology are the future for treating chronic diseases thanks to improvements in healthcare provision, early detection of symptoms, and determining accurate treatment plans based on patients’ health condition data.