Skip to content

Disciplines#

Data Science#

Data Science focuses on extracting insights and knowledge from data using statistical, computational, and machine learning methods. This discipline enables informed decision-making in various fields, including research and industry.

Machine Learning#

Machine Learning is a subfield of artificial intelligence to learn and improve from data without explicit programming. It is widely used in predictive modeling, pattern recognition, and automating complex processes.

Bioinformatics#

Bioinformatics is the application of computational methods to analyze, and interpret biological data. It plays a crucial role in genomics, proteomics, and other fields where large datasets are prevalent.

Pharmacogenomics#

Pharmacogenomics is the study of how genetic variations to tailor medications to individual genetic profiles. This approach enhances treatment efficacy and minimizes adverse effects.

Imaging#

Imaging is the science of capturing and representing visual information for medical and scientific purposes. This discipline supports diagnostics, research, and data visualization through advanced imaging technologies.

Radiomics#

Radiomics is the study of the interaction between radiation and support diagnosis, prognosis, and treatment planning. It bridges radiology and data science, allowing for a more detailed understanding of disease characteristics.