Aimed – Accelerating Intelligent Medicine | Applied Informatics, Mathematics, Engineering, and Data Science | Advancing Informatics-driven Modeling, Education, and Discovery

Applied Informatics, Mathematics, Engineering, and Data Science

The ai.MED laboratory, directed by Prof. Jake Chen at UAB, aims to accelerate intelligent applications of genomic data science in biomedical research, healthcare, and drug discovery through cutting-edge bioinformatics and data science research.

Genomic Data Science

With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic data-sets. Genomic Data Science is the field that applies statistics and data science to the genome.

Bioinformatics

Bioinformatics is an interdisciplinary field that develops computational methods and software packages for analyzing biological data. As an interdisciplinary field of science, bioinformatics combines technologies from computer science, statistics, and optimization to process biological data.

The AI.MED lab uses translational bioinformatics to develop innovative techniques and create new databases and discover novel biomedical information to improve clinical care, diagnosis and treatment. The Bioinformatics Lab provides services to manage and analyze next-generation sequencing data. The team includes individuals with skills in bioinformatics, computer science, and statistics.