Artificial intelligence (AI) is rapidly changing the way we practice precision medicine, an approach to healthcare that tailors treatments based on a patient's genetic characteristics, lifestyle and other personal factors. We utilize AI to uncover hidden patterns and connections in large biomedical datasets. This newfound knowledge is then used to invent innovative diagnostic tests, predict the likelihood of disease and select the most appropriate treatments for patients.

Network biology is a branch of research that uses network science to study how biological molecules, cells, tissues and organs interact with each other. The key concept is that diseases can be seen as problems in these networks. By understanding these problems, network medicine can uncover new opportunities for developing new drugs and innovative ways of diagnosing and treating disease.

Dynamic models are mathematical representations of biological systems that can be used to study how these systems change over time and space. They are powerful tools that can be used to understand a wide range of biological phenomena, from the growth of a population to the development of a tumor.