Thanks to new practices of applying statistical modeling to artificial intelligence via computers, disease detection has become more efficient and accurate. This has given rise to the field of computational immunology, defined as a discipline that uses mathematical models and statistical techniques to understand patterns behind immune systems and effectively develop drugs. New methods of sequencing genomes and understanding proteomics –the study of protein structures and functions– have increased the amount of data available for research, which scientists can study to glean more information about immune responses.