News
Habiba Abdelhalim wins Best Paper Award at the 19th Annual Undergraduate Research Symposium
Apr 28, 2023
Habiba Abdelhalim, BS., has received Best Paper Prize in the field of Natural Science, by The Wiley Foundation and Aresty RURJ, at the 19th Annual Undergraduate Research Symposium-April 28, 2023, organized by the Aresty Research Center for Undergraduates, at Rutgers, The State University of New Jersey.
Habiba is Senior Research Assistant at the Rutgers Institute for Health, Health Care Policy and Aging Research. She is doing research in the field of precision medicine, and her most recent peer reviewed research publications as First/Joint First Author include:
1. Wable R, Nair AS, Pappu A, Pierre-Louis W, Abdelhalim H, Patel K, Mendhe D, Bolla S, Mittal S, & Ahmed Z*. (2023). Integrated ACMG approved genes and ICD codes for the translational research and precision medicine. Database: The Journal of Biological Databases and Curation. (Oxford). [Accept, In Press] – Joint First Author
2. Venkat, V., Abdelhalim, H., Degroat, W., Saman. Z., & Ahmed, Z*. (2023). Implementing machine learning techniques at RNA-seq driven gene-expression data to investigate genes associated with HF, AF, and other CVDs, and predict disease with high accuracy. Genomics. 115, 2. PMID: 36813091. (Elsevier) – Joint First Author
3. Degroat, W., Venkat, V., Pierre-Louis, W., Abdelhalim, H., & Ahmed, Z*. (2023). Hygieia: AI/ML pipeline integrating healthcare and genomics data to investigate genes associated with targeted disorders and predict disease. Software Impacts. 100493. (Elsevier). – Joint First Author
4. Vadapalli, S., Abdelhalim, H., Zeeshan, S., & Ahmed, Z*. (2022). Artificial intelligence & machine learning approaches using gene expression and variant data for personalized medicine. Briefings in Bioinformatics. 23(5), bbac191. PMID: 35595537. (Oxford) – Joint First Author
5. Berber, A., Abdelhalim, H., Zeeshan, S., Vadapalli, S., von-Oehsen, B., Yanamala, N., Sengupta, P., & Ahmed, Z*. (2022). RNA-seq driven expression analysis to investigate Cardiovascular disease genes with associated phenotypes among Atrial Fibrillation patients. Clinical and Translational Medicine. PMID: 35875838. (Wiley) – Joint First Author
6. Abdelhalim, H., Berber, A., Lodi, M., Jain, R., Nair, A., Pappu, A., Patel, K., Venkat, V., Venkatesan, C., Wable, R., Dinatale, M., Fu, A., Iyer, V., Kalove, I., Kleyman, M., Koutsoutis, J., Menna, D., Paliwal, M., Patel, N., Patel, T., Rafique, Z., Samadi, R., Varadhan, R., Bolla, S., Vadapalli, S., & Ahmed, Z*. (2022). Artificial Intelligence, Healthcare, Clinical-Genomics, and Pharmacogenomics Approaches in Precision Medicine. Section: Computational Genomics. Research Topic: Artificial Intelligence for Personalized and Predictive Genomics Data Analysis. Frontiers in Genetics. 13, 929736. PMID: 35873469. (Frontiers)