Preventing Age-Related Diseases Through AI
Tue, April 20, 2021

Preventing Age-Related Diseases Through AI

AI digital biomarkers can predict age-related diseases / Credits: anyaivanova via Shutterstock


Many of us are concerned with our health, especially in the increasing awareness of having a healthy lifestyle. People are now concerned with having a healthy diet, exercising, and making sure that we have no illnesses. With biomarkers, we can measure if there's any presence of disease in our body and to help determine prognosis. It is commonly used to help prevent age-related diseases and extend the healthspan.

As of now, there are several types of biomarkers. But scientists have identified three specific types of biomarkers: exposure biomarkers, effect biomarkers, and susceptibility biomarkers – which can all be used for various purposes. For instance, they can reveal an individual’s sensitivity to specific treatments, confirm disease risk in an individual, and inform recommendations for future treatments. With the help of artificial intelligence, biomarkers would allow doctors to assess health, quantify the effect of interventions, and produce personalized medical reports.

The emergence of digital technology has allowed developers to create digital biomarkers, where objective, quantifiable, physiological data is collected and measured using digital devices. According to Forbes, a global media company focusing on business, investing, technology, entrepreneurship, leadership, and lifestyle, the information can be used to confirm the presence of disease and potentially prevent pathologies. While there’s no single gold standard biomarker that can monitor healthy aging, digital biomarkers could revolutionize the way doctors monitor patients and predict disease outcomes.

However, creating digital biomarkers is difficult because it requires vast amounts of data from healthy people who have no trace of disease. With AI, scientists can elevate their functions that can help in diagnostics, prognosis, and therapeutics. These devices not only predict age-related diseases but they are also used in the development of unique sensing platforms and chips, human liquid testing systems, devices for health monitoring, and single-cell profiling devices. All of these help in enabling novel approaches for preventing and treating many diseases.