
The Digitalization of Medicine: From IoT to Personalized Medicine
Fitness trackers, electronic medical records, and remote doctor appointments have long become part of our everyday lives. Artificial intelligence (AI) is opening up new possibilities in medicine, helping process research and analysis data and enabling doctors to make more accurate diagnoses.
Tech companies are developing methods allowing people to monitor health metrics around the clock and respond quickly to negative changes. For instance, a model from Google reads data from wearable devices and offers recommendations on physical activity and sleep. Da Vinci surgical robots have performed hundreds of thousands of operations worldwide. Additionally, Sber’s multimodal diagnostic assistant, GigaPevt, developed using the neural network model GigaChat, answers health-related questions and, by analyzing video of a person’s face, can determine their age, BMI, and other medical parameters.
Thanks to digital genome analysis methods, medicine is becoming personalized. In the future, genetic analysis will become routine for diagnosing and treating diseases, and medications will be tailored specifically to each patient. The Swiss company Aerarium Handelshaus GmbH is working on the personalization of complex herbal medicines and is preparing to launch a project based on individual selection of biologically active substances considering multiple factors, from age and sex to the body’s condition and genetic predispositions. The company is developing a digital healthcare platform incorporating AI, blockchain, and a vast database of biologically active substances and natural plant-based compounds.
An interesting fact: According to McKinsey, companies actively implementing AI increase their revenues on average 20% faster than their competitors. AI is not only transforming business approaches but also opening new horizons for digital transformations!