Not all medications affect all people in the same way. Therefore, medicine has invested years in trying to streamline the administration of drugs according to the specific circumstances of each patient. This is what is known as pharmacogenomics, which combines pharmacology and genomics, the science responsible for studying genes and their functions, with the aim of developing new drugs. It is about studying how people respond individually to drugs.
Through this study it is possible to apply more effective and safer doses adapted to the human gene variations. By customizing the treatments we arrive at the concept of precision and customized medicine, for the sake of medical treatment times. In practice this means that, Before administering a drug, the patient’s genetic profile was taken into account, instead of checking whether he had the expected effects on him in advance.
To make a prediction for a particular patient’s possible response to a drug, personalized medicine analyzes their genomic, clinical, and environmental data. All of this information is designed to prevent possible side effects and improve the effectiveness of treatments. This type of custom medication has been applied, for example, to cancer treatment using Growth specific information Of the affected person in order to achieve improvements in diagnosis, treatment planning or to see if it is most effective. In this sense, it is often used in targeted therapies to treat specific cancer cells.
The technology that makes this possible
The integration of Big Data in the healthcare sector enables the management and analysis of vast amounts of information, which is essential for the development of personalized medicine. Thanks to the application of this technology a strong boost has been given to Genomics. so, Big data allow for population studies Place each person in groups of different risk types, Such as low, medium, high, etc., with respect to specific disorders. In this sense, according to Orco M. Marigorta, Researcher at CIC bioGUNE (@CICbioGUNE), The patient’s genome can now be studied “to measure their genetic risk and select 1.5% or 10% of people at risk for certain pathologies, for 50 euros”.
Quantum computing, a different computing model than classical computing capable of storing more information and increasing the speed of computers, will also facilitate the development of customized medicine and new drugs. Spain has a Spanish strategy for personalized medicine, registered as part of the shock program for science and innovation, approved by the government in July 2020, and has a budget of 25.8 million euros. This strategy consists of various programs: genomic medicine, a digital health program and data science, one for advanced and customized therapies, and a predictive medicine program, among others.