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This precision medicine project is by Ahmed Lab
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Editorial: Computational Genomics and Precision Medicine @ Frontiers in Genetics
Drs. Ahmed, Thirunavukarasu and Khan published, “Editorial: Computational Genomics and Precision Medicine“, Frontiers in Genetics, section Computational Genomics. Misdiagnosis has been reported among the leading causes of death, along with … Read More
Talk at the Annual Symposium of Frontiers in Biomedical and Health AI
Dr. Ahmed presents, “Multimodal AI/ML Approach to Discover Novel Biomarkers, Predict Disease, and Profile Patients for Precision Medicine“, at the Annual Symposium of Frontiers in Biomedical and Health AI: Applications, … Read More
Talk at the Rutgers Health Artificial Intelligence Virtual Seminar
Dr. Ahmed presents,”Practicing AI/ML techniques for predictive and precision medicine“, at the Rutgers Health Artificial Intelligence Virtual Seminar, May 8th, 2025.
Elizabeth Peker and Sahana Senthilkumar present at Undergraduate Research Symposium
Elizabeth Peker and Sahana Senthilkumar present research posters at the Undergraduate Research Symposium 2025 by Aresty Research Center at Rutgers University, April 25, 2025. Elizabeth presents, “Implementing artificial intelligence and … Read More
Bioinformatics and AI/ML approaches using multi-omics data to accelerate diagnosis and delivery of precision care for patients with rare diseases
Our latest chapter/article published in book i.e., Methods in Cell Biology (MCB): 2D and 3D Cellular Screening Models and AI Guided Analysis. Edited by Oliver Kepp and Guido Kroemer. Academic … Read More
IntelliGenes at the RAD Collaboratory AI/Machine Learning Networking Event
Dr. Ahmed presents, “IntelliGenes: AI/ML pipeline for biomarker discovery and predictive analysis“, The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory AI/Machine Learning Networking Event, April 8, 2025.
VAREANT: a bioinformatics application for gene variant reduction and annotation
Our latest article published in Bioinformatics Advances by Oxford University Press i.e., VAREANT: a bioinformatics application for gene variant reduction and annotation The analysis of high-quality genomic variant data may offer … Read More
Applying AI/ML for Analyzing Gene Expression Patterns
Our latest chapter/article published in book i.e., Gene Expression Analysis, part of the book series: Methods in Molecular Biology, edited by Drs. Nalini Raghavachari and Natalia Garcia-Reyer. Applying AI/ML for … Read More