Ahmed Lab


Ahmed lab is doing research with focus on intelligent and multi-functional systems development for integrative healthcare, genomics and metabolomics data analysis to discover disease biomarkers and different forms of phenotypic information for advanced diagnostic and personalized treatment in Precision Medicine. Ahmed lab’s research objectives include, modelling clinical, genomics and metabolomics data to find statistical patterns across millions of features to identify underlying biologic pathways, modifiable risk factors and actionable information that supports early detection and prevention of complex disorders, and development of new therapies for better patient care.



To improve the quality and transition of healthcare, robust data management platforms are necessary to analyze heterogeneous genomics and clinical data of high volume, velocity, variety and veracity. Healthcare data includes information about patient life style, medical history, visits to the practice, lab and imaging test, diagnoses, medications, surgical procedures, consulted providers, claims and genomics profile. Adequate and analytic access to the healthcare and genomics data has potential to revolutionize the field of medicine by developing better understanding of biological mechanisms and modelling complex biological interactions by integrating and analyzing knowledge in a holistic manner. To effectively meet the goals of implementing system for precision medicine, significant efforts are required from the experts in various disciplines (e.g. clinics, bench/wet labs, core/genome technologies, bioinformatics etc.), located within one or multiple organizational units. One of the major challenges is to establish an efficient and secure workflow that can connect all units to streamline transparent data flow, interoperability, cleansing, structuring, standardization, controlled accessibility, processing, quality inspection, processing, analysis, visualization, reporting and sharing. 

Ahmed lab focuses on dealing practical issues associated to the scientific software solutions and infrastructure development for the complex, diverse and large scaled healthcare, genomics, transcriptomics and epigenomics data management, processing, analysis, visualization and integration for the precision medicine. Aims include the development of one of the world's largest precision medicine platforms to help patients, providers, practices and scientists.