Precision medicine is on the rise: what it is and how it can help

From the artificial intelligence (AI) to the analysis of genetic data, the possibilities for improving health and well-being are virtually endless.

One of the biggest challenges in medicine is the interpretation of large volumes of complex data. AI and machine learning can integrate data from multiple sources, such as blood tests, medical images and genetic data, to provide a holistic view of a patient’s health.This not only improves diagnostic accuracy, but also enables more informed and personalized decision making.

AI is already being used to interpret blood tests and X-rays, but its potential goes much further. In the future, AI algorithms could analyse patterns in blood tests over time, providing detailed information on the evolution of health markers. This would allow doctors to adjust drug and supplement doses more precisely, based on personalized, real-time data.

Rather than simply identifying a vitamin D deficiency, one could analyze how vitamin D levels change in response to different doses and suggest optimal adjustments. This would not only improve the effectiveness of treatment, but also reduce the risk of overdose or chronic deficiency.

Companies like 23andMe have paved the way for consumer-accessible genetic testing. These tests can identify genetic predispositions to certain diseases. By integrating large genetic databases and AI, doctors could identify complex genetic patterns that predispose patients to specific diseases, and develop personalized prevention and treatment plans.

For example, analysis of family history and ancestral origin can provide valuable information about disease risks and response to different treatments. Certain ethnic groups may be more predisposed to specific diseases or respond differently to certain medications.Integrating this information with health data and AI analytics can help doctors develop more effective and personalized treatment plans. Knowing that a patient has a genetic predisposition to cardiovascular disease could lead to more frequent monitoring and the implementation of targeted preventative measures long before clinical symptoms develop.

Early detection is key to the successful treatment of many diseases, including cancer. AI can analyze millions of medical images to identify patterns that humans might miss. Tools like Haemorasis, which analyzes blood samples for hematological disorders, are already proving effective. Applying these principles to other areas, such as early detection of cancer through analysis of circulating free DNA in the blood, can save countless lives.

The precision medicine focuses on personalizing treatment for each patient. Combining genetic data, test results, and AI analysis can take that personalization to new heights.

Artificial intelligence, genetic analysis and other innovations promise to transform the way we diagnose, treat and prevent disease. We can expect more accurate, personalized and effective healthcare, improving the health and well-being of people around the world.