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 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.


HIGHLIGHTS/NEWS:

  1. Ahmed, Z. (2020). Practicing Precision Medicine with Intelligently Integrative Clinical and Multi-OMICS Data Analysis. Human Genomics: Official journal of Human Genome Organization. 14, 35. October 2020. [Selected, featured article of the month by the journal, October 2020]

  2. Q&A: The Future of Precision Medicine. Rutgers Today, October 6, 2020.

  3. Ahmed, Z., Zeeshan, S., Foran, D. J., Kleinman, L. C., Wondisford, F. E., Dong, XQ. (2021). Integrative Clinical, Genomics and Metabolomics Data Analysis for Mainstream Precision Medicine to Investigate COVID-19. BMJ: British Medical Journals/British Medical Association, Innovations. 2021;7:6-10.

  4. Zeeshan, S., Xiong, R., Liang, B.T., Ahmed, Z. (2020). 100 Years of Evolving Gene-Disease Complexities and Scientific Debutants. Briefings in Bioinformatics, Oxford Journals, 21: 3. May, 21st, 2020. 

  5. Ahmed, Z. , Zeeshan, A., Mendhe, D., Dong, XQ. (2020). Human Gene-Disease Associations for Clinical-Genomics and Precision Medicine Research. Clinical and Translational Medicine, Wiley, 10: 1. May, 3rd, 2020.

  6. Ahmed, Z. , Mohamed, K., Zeeshan, S., Dong, XQ. (2020). Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine. Database: The Journal of Biological Databases and Curation, Oxford Journals, 2020: baaa010. March, 17th, 2020.


By Dr. Zeeshan Ahmed(@dr_zeeshanahmed), part of Rutgers Institute for Health, Health Care Policy and Aging Research