{"id":573,"date":"2021-03-18T12:00:00","date_gmt":"2021-03-18T12:00:00","guid":{"rendered":"https:\/\/sites.rutgers.edu\/precision-medicine\/?page_id=573"},"modified":"2026-04-18T17:51:12","modified_gmt":"2026-04-18T17:51:12","slug":"publications","status":"publish","type":"page","link":"https:\/\/sites.rutgers.edu\/precision-medicine\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"
Corresponding author ‘ * ‘<\/em><\/strong><\/h6>\n

Year 2026 …<\/strong><\/em><\/span><\/p>\n

– Shenouda, A., Senthilkumar, S., Mourad, Y., Xie, J., Peker, E., Saman, Z., & Ahmed, Z.*<\/strong> (2026). Artificial intelligence to investigate metabolomics data for precision medicine<\/a>.<\/strong> Metabolomics. 22, 29. PMID: <\/span> 41758481<\/span><\/a>. (Springer Nature).<\/p>\n

– Singh, K., Usman, S., Zeeshan, S., Yanamala, N., Bhise, V., Nichols, M., Bokhari, S., Sengupta, P., & Ahmed, Z.*<\/strong> (2026). Bioinformatics and AI\/ML approaches using multi-omics data to accelerate diagnosis and delivery of precision care for patients with rare diseases<\/a>.<\/strong> Methods in Cell Biology (MCB): 2D and 3D Cellular Screening Models and AI Guided Analysis, 204, 109-139. Editors: Oliver Kepp and Guido Kroemer. Academic Press. PMID: 41912303<\/a>. (Elsevier).<\/p>\n

– Ahmed, Z.*<\/strong>, Govindareddy, P., Mathew, M., Yanamala, N., Sengupta, P. (2026). Multi-Omics Analysis of Genetic Drivers Linking Aortic Stenosis and Left Ventricular Diastolic Dysfunction in Heart Failure<\/strong>.<\/a> medRxiv. [Preprint]<\/p>\n

– Yamada, T., Morikawa, K., Fujiyama, A., Nagakura, T., Xu, Y., Kataoka, M., Umemoto, T., Bundo, M., Iwamoto, K., Ahmed Z<\/strong>, Linna-Kuosmanen, S., Hanatani, S., Usuku, H., Matsuzawa, Y., Izumiya, Y., Yamamoto, E., Tsujita, K., and Arima, Y.* (2026). Hepatic Ketogenesis Attenuates Cardiac Hypertrophy via Metabolic Reprogramming<\/strong><\/a>. bioRxiv [Preprint]<\/p>\n

– Ahmed, Z.*<\/strong>, and Alam MN. (2026). Artificial intelligence and precision medicine<\/a>.<\/strong> Scientific Reports. 16, 2168. PMID: 41547658<\/a>. (Nature).<\/p>\n

Year 2025 …<\/strong><\/em><\/span><\/p>\n

– Ahmed, Z.*<\/strong>, and Jun, G. (2025). Omics approaches to understand cardiovascular disease<\/a>. <\/strong>BMC Cardiovascular Disorders. 25: 869. PMID: <\/span> 41413447<\/span><\/a>. (Springer Nature, BMC).<\/p>\n

– Narayanan, R., Peker, E., Degroat, W., Mendhe, D., Zeeshan, S., & Ahmed, Z.*<\/strong> (2025). 3D IntelliGenes<\/em>: AI\/ML application using multi-omics data for biomarker discovery and disease prediction with multi-dimensional visualization<\/a>. <\/strong>BMC medical research methodology, 25(1), 193.\u00a0PMID: 40781583<\/a>.(Springer Nature, BMC).<\/p>\n

– DeGroat, W., Narayanan, R., Peker, E., Zeeshan, S., Liang, B.T., and Ahmed, Z*<\/strong>. (2025). Multimodal AI\/ML for discovering novel biomarkers and predicting disease using multi-omics profiles of patients with cardiovascular diseases<\/strong><\/a>. Circulation Research, Vol. 137 (Suppl_1). American Heart Association’s Basic Cardiovascular Sciences Scientific Sessions 2025: Advances in Cardiovascular Science: From Discovery to Translation. AHA\/ASA (American Heart Association\/American Stroke Association).<\/p>\n

– Ahmed, Z.*<\/strong>, Thirunavukarasu, R., Khan, A. (2025). Editorial: Computational Genomics and Precision Medicine<\/a>.<\/strong> Frontiers in Genetics, section Computational Genomics. 16:1631668. PMID: 40510811<\/a>. (Frontiers).<\/p>\n

\u2013 Degroat, W., Abdelhalim, H., Peker, E., Sheth, N., Narayanan, R., Zeeshan, S., Liang, B.T., & Ahmed, Z.*<\/strong> (2025). Publisher Correction<\/a>: Multimodal AI\/ML for discovering novel biomarkers and predicting disease using multi-omics profiles of patients with cardiovascular diseases<\/a>.<\/strong> Scientific Reports. 15, 19417. PMID: 40461550.<\/a> (Nature).<\/p>\n

– Ahmed, Z.*<\/strong> (2025). Applying AI\/ML for analyzing gene expression patterns<\/strong><\/a>.<\/strong> Gene Expression Analysis. Methods in Molecular Biology, vol 2880. Editors: Nalini Raghavachari and Natalia Garcia-Reyero. Humana, New York, NY. ISBN: 978-1-0716-4276-4. PMID: 39900767<\/a>. (Springer Nature).<\/p>\n

– Narayanan, R., Degroat, W., Peker, E., Zeeshan, S., & Ahmed, Z.*<\/strong> (2025). VAREANT: a bioinformatics application for gene variant reduction and annotation<\/strong><\/a>. Bioinformatics Advances. 5, 1. PMID: 39927292<\/a>. (Oxford).<\/p>\n

– Ahmed, Z.*<\/strong> (2025). Multi-omics\/genomics in predictive and personalized medicine<\/a><\/strong>. <\/strong>Artificial Intelligence for Drug Product Lifecycle Applications (1st Edition). Editors: Alberto Pais, Carla Vitorino, Sandra Nunes, T\u00e2nia Cova. ISBN: 9780323918190, Academic Press. (Elsevier).<\/p>\n

Year 2024 …<\/strong><\/em><\/span><\/p>\n

– Degroat, W., Abdelhalim, H., Peker, E., Sheth, N., Narayanan, R., Zeeshan, S., Liang, B.T., & Ahmed, Z.*<\/strong> (2024). Multimodal AI\/ML for discovering novel biomarkers and predicting disease using multi-omics profiles of patients with cardiovascular diseases<\/strong><\/a>. Scientific Reports. 14, 26503. PMID: 39489837<\/a>. (Nature).<\/p>\n

– Duenas, S., McGee, Z., Mhatre, I., Mayilvahanan, K., Patel, K., Abdelhalim, H., Jayprakash, A., Wasif, U., Nwankwo, O., Degroat, W., Yanamala, N., Sengupta, P., Fine, D., and Ahmed Z*. <\/strong>(2024). Computational approaches to investigate the relationship between periodontitis and cardiovascular diseases for precision medicine.<\/strong><\/a> Human Genomics. 18, 116. 2024. PMID: 39427205<\/a>. (Springer Nature, BMC)<\/p>\n

– Ahmed, Z.*<\/strong>, Wan, S., Zhang, F., & Zhong, W. (2024). Artificial intelligence for omics data analysis<\/strong><\/a>. BMC Methods. 1, 4. (Springer Nature, BMC).<\/p>\n

– Ahmed, Z.*<\/strong> (2024). Discovering novel biomarkers and predicting cardiovascular disease using AI\/ML techniques for precision medicine.<\/strong><\/a> Circulation. 150. (AHA).<\/p>\n

– Narayanan, R., Degroat, W., Mendhe, D., Abdelhalim, H., & Ahmed, Z.*<\/strong> (2024). IntelliGenes<\/em>: Interactive and user-friendly multimodal AI\/ML application for biomarker discovery and predictive medicine<\/a>.<\/strong> Collection: Artificial Intelligence in Biology and Bioinformatics. Biology Methods & Protocols, 9(1), bpae040. PMID: 38884000<\/a>. (Oxford).<\/p>\n

– Degroat, W., Abdelhalim, H., Patel, K., Mendhe, D.,\u00a0 Zeeshan. S., & Ahmed, Z.*<\/strong> (2024). Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for precision medicine<\/a>.<\/strong> Scientific Reports. 14, 1. PMID: 38167627<\/a>. (Nature).<\/p>\n

– Ahmed, Z.*<\/strong>, Degroat, W., Abdelhalim, H., Saman, Z., & Fine, D. (2024). Deciphering genomic signatures associating human dental oral craniofacial diseases with cardiovascular diseases using machine learning approaches<\/a>. <\/strong>Clinical Oral Investigations. 52 (28), 1436-3771. PMID: 38163819<\/a>. (Springer Nature).<\/p>\n

– Ahmed, Z.*<\/strong> (2024). Deciphering expression and variants in CVD genes among heart failure population for precision medicine<\/a>. <\/strong>ESC Heart Failure. 11, 1, 606-609. PMID: 38131165<\/a>. (Heart Failure Association of the European Society of Cardiology. Wiley).<\/p>\n

– Omidiran, O., Patel, A., Usman, S., Mhatre, I., Abdelhalim, H., DeGroat, W., Narayanan, R., Singh, K., Mendhe, D., & Ahmed, Z.*<\/strong> (2024). GWAS advancements to investigate disease associations and biological mechanisms<\/strong><\/a>. Clinical and Translational Discovery. 4:e296. PMID: 38737752<\/a>. (Wiley).<\/p>\n

Year 2023 …<\/strong><\/em><\/span><\/p>\n

– Degroat, W., Mendhe, D., Bhurasi, A., Abdelhalim, H., Saman, Z., & Ahmed, Z.*<\/strong> (2023). IntelliGenes<\/em>: A novel machine learning pipeline for biomarker discovery and predictive analysis using multi-genomic profiles<\/a>.<\/strong> Bioinformatics. 39(12), btad755. PMID: 38096588<\/a>. (Oxford).<\/p>\n

– Mhatre, I., Abdelhalim H, Degroat, W., Ashok, S., Liang, B., & Ahmed, Z.*<\/strong> (2023). Functional mutation, splice, distribution, and divergence analysis of impactful genes associated with heart failure and other cardiovascular diseases<\/a>.<\/strong> Scientific Reports. 13(1), 16769. PMID: 37798313<\/a>. (Nature).<\/p>\n

– Patel, K., Venkatesan, C., Abdelhalim, H., Saman, Z., Arima, Y., Linna-Kuosmanen, S., & Ahmed, Z.*<\/strong> (2023). Genomic approaches to identify and investigate genes associated with atrial fibrillation and heart failure susceptibility<\/a>.<\/strong> Human Genomics. 17, 47. PMID: 37270590<\/a>. (BMC, Springer Nature)<\/p>\n

– Wable, R., Nair, A.S., Pappu, A., Pierre-Louis, W., Abdelhalim, H., Patel, K., Mendhe, D., Bolla, S., Mittal, S., & Ahmed, Z*.<\/strong> (2023). Integrated ACMG approved genes and ICD codes for the translational research and precision medicine<\/a>.<\/strong> Database: The Journal of Biological Databases and Curation. 2023, baad033. PMID: 37195695<\/a>. (Oxford).<\/p>\n

– Venkat, V., Abdelhalim, H., Degroat, W., Saman. Z., & Ahmed, Z*.<\/strong> (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<\/strong><\/a>. Genomics. 115, 2. PMID: 36813091<\/a>. (Elsevier)<\/p>\n

– Degroat, W., Venkat, V., Pierre-Louis, W., Abdelhalim, H., & Ahmed, Z*.<\/strong> (2023). Hygieia<\/em>: AI\/ML pipeline integrating healthcare and genomics data to investigate genes associated with targeted disorders and predict disease.<\/strong><\/a>\u00a0 Software Impacts. 100493. (Elsevier).<\/p>\n

– Ahmed, Z.*<\/strong>, Zeeshan, S., Persaud, N., Abdelhalim, H., Degroat, W., Liang, B. (2023). Investigating genes associated with cardiovascular disease among heart failure patients for translational research and precision medicine<\/a>.<\/strong> Clinical and Translational Discovery. 3:e206. (Wiley).<\/p>\n

– Ahmed, Z*.<\/strong> Zeeshan, S., & Lee, D. (2023). Editorial: Artificial intelligence for personalized and predictive genomics data analysis<\/strong><\/a>. Frontiers in Genetics. 14:1162869. PMID: 36936434<\/a>. (Frontiers)<\/p>\n

– Abdelhalim, H., Hunter, R.M., Mendhe, D., DeGroat, W., Saman, Z., & Ahmed Z.*<\/strong> (2023). Role of GWAS, polygenic risk score, and AI\/ML using big data for personalized treatment to the patients with CVD<\/a>.<\/strong> Future Medicine AI. (Future Medicine).<\/p>\n

Year 2022 …<\/strong><\/em><\/span><\/p>\n

– <\/strong>Vadapalli, S., Abdelhalim, H., Zeeshan, S., & Ahmed, Z*.<\/strong> (2022). Artificial intelligence & machine learning approaches using gene expression and variant data for personalized medicine<\/a>.\u00a0<\/strong>Briefings in Bioinformatics. 23(5), bbac191. PMID: 35595537<\/a>. (Oxford)<\/p>\n

– Ahmed Z*<\/strong>. (2022). Precision medicine with multi-omics strategies, deep phenotyping, and predictive analysis<\/strong><\/a>. Progress in Molecular Biology and Translational Science. Editor: David B. Teplow. Volume 190, Issue 1, Pages 101-125. ISBN 9780323997843, Academic Press. PMID: 36007996<\/a>. (Elsevier)<\/p>\n

– Berber, A., Abdelhalim, H., Zeeshan, S., Vadapalli, S., von-Oehsen, B., Yanamala, N., Sengupta, P., & Ahmed, Z*.<\/strong> (2022). RNA-seq driven expression analysis to investigate Cardiovascular disease genes with associated phenotypes among Atrial Fibrillation patients<\/a>.<\/strong> Clinical and Translational Medicine. PMID: 35875838<\/a>. (Wiley)<\/p>\n

– 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*. <\/strong>(2022). Artificial Intelligence, Healthcare, Clinical-Genomics, and Pharmacogenomics Approaches in Precision Medicine.<\/strong><\/a> Section: Computational Genomics. Research Topic: Artificial Intelligence for Personalized and Predictive Genomics Data Analysis. Frontiers in Genetics. 13, 929736.\u00a0PMID: 35873469<\/a>. (Frontiers)<\/p>\n

– Ahmed Z*<\/strong>. (2022).\u00a0Multi-omics strategies for personalized and predictive medicine: past, current, and future translational opportunities<\/a>.<\/strong> Emerging Topics in Life Sciences. PMID: 35234253<\/a>. (Portland Press, Biochemical Society and the Royal Society of Biology)<\/p>\n

– Ahmed Z*<\/strong>., Renart., E., & Zeeshan, S. (2022). Investigating underlying human immunity genes, implicated diseases, and their relationship with the COVID-19<\/strong><\/a>. Personalized Medicine. 19(3), 229-250. PMID: 35261286<\/a><\/p>\n

Year 2021 …<\/strong><\/em><\/span><\/p>\n

– <\/strong>Ahmed, Z*<\/strong>., Zeeshan, S., & Liang, B. T. (2021). RNA-seq driven expression and enrichment analysis to investigate CVD genes with associated phenotypes among high-risk Heart Failure patients<\/strong><\/a>. Human Genomics. 15, 67. PMID: 34774109<\/a>. (BMC, Springer Nature, Human Genome Organization)<\/p>\n

– Ahmed, Z*<\/strong>. (2021).Intelligent health system for investigation and consenting COVID-19 patients and precision medicine<\/a>. <\/strong>Personalized Medicine. 18(6), 573\u2013582. PMID: 34619976<\/a><\/p>\n

– <\/strong>Ahmed, Z*<\/strong>., Renart., E., Mishra, D., & Zeeshan, S. (2021). JWES: A new pipeline for whole genome\/exome sequence data processing, management, and gene-variant discovery, annotation, prediction, and genotyping<\/strong><\/a>. FEBS Open Bio. 11(9):2441-2452. PMID: 34370400<\/a>. (Wiley, Federation of European Biochemical Societies)<\/p>\n

– <\/strong> Ahmed, Z*<\/strong>., Renart, E. G., Zeeshan, S., & Dong, X. (2021). Advancing clinical genomics and precision medicine with GVViZ: FAIR bioinformatics platform for variable gene-disease annotation, visualization, and expression analysis.<\/strong><\/a> Human Genomics. 15(1), 37. PMID: 34174938<\/a>. (BMC, Springer Nature, Human Genome Organization)<\/p>\n

– <\/strong> Ahmed, Z*<\/strong>., Renart., E., & Zeeshan, S.(2021). Genomics pipelines to investigate susceptibility in whole genome and exome sequenced data for variant discovery, annotation, prediction, and genotyping<\/a>.<\/strong> PeerJ Life and Environment. 9:e11724. PMID: 34395068<\/a>. (PeerJ)<\/p>\n

– <\/strong> Ahmed, Z*<\/strong>., 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<\/strong>.<\/a> BMJ Innovations. 7, 6-10. (BMJ)<\/p>\n

Year 2020 and earlier …<\/strong><\/em><\/span><\/p>\n

– <\/strong> Ahmed, Z*<\/strong>. (2020). Practicing precision medicine with intelligently integrative clinical and multi-omics data analysis.<\/strong><\/a> Human Genomics. 14(1), 35. PMID: 33008459<\/a>. (BMC, Springer Nature)<\/p>\n

– <\/strong>Ahmed, Z*<\/strong>., Zeeshan, S., Mendhe, D., & Dong, X. (2020). Human gene and disease associations for clinical-genomics and precision medicine research<\/a>.<\/strong> Clinical and Translational Medicine. 10(1), 297\u2013318. PMID: <\/span> 32508008<\/span><\/a>. (Wiley)<\/p>\n

– <\/strong> Ahmed, Z*<\/strong>., Mohamed, K., Zeeshan, S., & Dong, X. (2020). Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine.<\/strong><\/a> Database : the journal of biological databases and curation, 2020, baaa010. PMID: 32185396<\/a>. (Oxford)<\/p>\n

– <\/strong> Zeeshan, S., Xiong, R., Liang, B. T., & Ahmed, Z*.<\/strong> (2020). 100 Years of evolving gene-disease complexities and scientific debutants.<\/strong><\/a> Briefings in Bioinformatics. 21(3), 885\u2013905. PMID: 30972412<\/a>. (Oxford)<\/p>\n

– <\/strong> Ahmed, Z*<\/strong>., Kim, M., & Liang, B. T. (2019). MAV-clic: management, analysis, and visualization of clinical data.<\/strong><\/a> JAMIA open. 2(1), 23\u201328. PMID: 31984341<\/a>. (Oxford)<\/p>\n

– <\/strong> Ahmed, Z*<\/strong>., Zeeshan, S., Xiong, R., & Liang, B. T. (2019). Debutant iOS app and gene-disease complexities in clinical genomics and precision medicine<\/a>.<\/strong> Clinical and Translational medicine. 8(1), 26. PMID: 31586224<\/a>. (Wiley)<\/p>\n

– <\/strong> Ahmed, Z*<\/strong>., & Dandekar, T. (2018). MSL: Facilitating automatic and physical analysis of published sci-entific literature in PDF format<\/strong><\/a>. F1000Research. 4, 1453. PMID: 29721305<\/a>. (Faculty of 1000)<\/p>\n

– <\/strong> Ahmed, Z*<\/strong>., & Ucar, D. (2017). I-ATAC: Interactive pipeline tool for the management and pre-processing of ATAC-seq samples<\/strong><\/a>. PeerJ Life and Environment, 5:e4040. PMID: 29181276<\/a>. (PeerJ)<\/p>\n

– <\/strong> Ahmed, Z*<\/strong>., Saman, Z., & Dandekar, T. (2016). Mining Biomedical Images towards Valuable Information Retrieval in Biomedical and Life Sciences<\/strong><\/a>. Database: The Journal of Biological Databases and Curation, baw118. PMID: 27538578<\/a>. (Oxford)<\/p>\n

– <\/strong> Ahmed, Z*<\/strong>., Bolisetty, M., Saman, Z., Anguiano, E., Ucar, D. (2016). MAV-seq: An interactive platform for the Management, Analysis, and Visualization of Sequence Data.<\/strong><\/a> Human Genomics. PMID: 27294413<\/a>. (BMC, Springer Nature, Human Genome Organization)<\/p>\n

– <\/strong> Ahmed, Z*<\/strong>., Michel, M., Saman, Z., Dandekar, T., Mueller, M., & Fekete, A. (2015). Lipid-Pro: A computational lipid identification solution for untargeted lipidomics on data-independent acquisition tan-dem mass spectrometry platforms<\/strong><\/a>. Bioinformatics. 31, 1150-1153. PMID: 25433698<\/a>. (Oxford)<\/p>\n

– <\/strong> Ahmed, Z<\/strong>., Saman, Z., Huber, C., Hensel, M., Schomburg, D., M\u00fcnch, R., Eylert, E., Eisenreich. W, & Dandekar, T. (2014). Isotopo Database and Tool for Facile Analysis and Management of Mass Isotopomer Data<\/strong><\/a>. Database: The Journal of Biological Databases and Curation. 2014. PMID: 25204646<\/a>. (Oxford)<\/p>\n

– <\/strong>Dandekar, T., Fieselmann, A., Saman, M., & Ahmed, Z.<\/strong> (2014). Software Applications toward Quantitative Metabolic Flux Analysis and Visualization<\/strong><\/a>. Briefings in Bioinformatics. 15, 91-107. PMID: 23142828<\/a>. (Oxford)<\/p>\n

– <\/strong> Ahmed, Z*<\/strong>., Zeeshan, S., & Dandekar, T. (2014). Developing sustainable software solutions for bioinformatics by the ” Butterfly” paradigm<\/strong><\/a>. F1000Research, 3, 71. PMID: 25383181<\/a>. (Faculty of 1000)<\/p>\n

– <\/strong> Ahmed, Z<\/strong>., Saman, Z., Huber, C., Hensel, M., Schomburg, D., M\u00fcnch, R., Eisenreich. W, & Dandekar, T. (2013). Software LS-MIDA for efficient Mass Isotopomer Distribution Analysis<\/strong><\/a>. BMC Bioinformatics. 14: 218. PMID: 23837681<\/a>. (BMC, Springer Nature)<\/p>\n

Lab, publications page.<\/strong><\/a><\/p>\n

Researchgate, publications page<\/strong><\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Corresponding author ‘ * ‘ Year 2026 … – Shenouda, A., Senthilkumar, S., Mourad, Y., Xie, J., Peker, E., Saman, Z., & Ahmed, Z.* (2026). Artificial intelligence to investigate metabolomics … Read More<\/a><\/p>\n","protected":false},"author":1800,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-573","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nPublications - Precision Medicine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.rutgers.edu\/precision-medicine\/publications\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Publications - Precision Medicine\" \/>\n<meta property=\"og:description\" content=\"Corresponding author ‘ * ‘ Year 2026 … – Shenouda, A., Senthilkumar, S., Mourad, Y., Xie, J., Peker, E., Saman, Z., & Ahmed, Z.* (2026). 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