Featured Publications

Genomics

Ahmed, Z*., Renart., E., Zeeshan, S., Dong, X. Advancing Clinical-Genomics and Precision Medicine with GVViZ: FAIR Bioinformatics Platform for Variable Gene-Disease Annotation, Visualization, and Expression Analysis. Human Genomics (BMC, Springer Nature). 15, 37. PMID: 34174938.

Artificial Intelligence

Ahmed, Z*., Mohamed, K., Zeeshan, S., Dong, X. Artificial intelligence with multi-functional ma-chine learning platform development for better healthcare and precision medicine. Database: The Journal of Biological Databases and Curation (Oxford). 2020. PMID: 32185396.

Healthcare

Ahmed, Z.*, Kim, M., & Liang, B. T. MAV-clic: management, analysis, and visualization of clinical data. Journal of the American Medical Informatics Association (JAMIA) open (Oxford & American Medical Informatics Association). 2(1), 23–28. PMID: 31984341.

Metabolomics

Ahmed, Z.*, Mayr, M., Zeeshan, S., Dandekar, T., Mueller, M. J., & Fekete, A. Lipid-Pro: a computational lipid identification solution for untargeted lipidomics on data-independent acquisition tandem mass spectrometry platforms. Bioinformatics (Oxford). 31(7), 1150–1153. PMID: 25433698.

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.

 

RESEARCH OBJECTIVES:

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 a

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