Our latest article published in Clinical Oral Investigations i.e., Deciphering genomic signatures associating human dental oral craniofacial diseases with cardiovascular diseases using machine learning approaches. Periodontal diseases are chronic, inflammatory … Read More
Our latest article published in Bioinformatics (Oxford) i.e., IntelliGenes: A novel machine learning pipeline for biomarker discovery and predictive analysis using multi-genomic profiles. In this article, we present IntelliGenes, a … Read More
Our latest article published in Nature Scientific Reports i.e., Functional mutation, splice, distribution, and divergence analysis of impactful genes associated with heart failure and other cardiovascular diseases. Cardiovascular disease (CVD) … Read More
Dr. Zeeshan Ahmed is speaking at the Student Success Conference 2023, which will take place Decmber 8th in the Livingston Student Center, Rutgers–New Brunswick, NJ. Session: Byrne Seminar: “Practicing Precision … Read More
Dr. Zeeshan Ahmed is invited to speak at the Association for Molecular Pathology (AMP) 2023 Annual Meeting & Expo, which will take place November 14-18 in Salt Lake City, Utah. … Read More
Dr. Zeeshan Ahmed is invited to speak at Tenth Evidence-Based Pediatric Update Symposium to be held on Saturday, November 4, 2023 at the PSE&G Children’s Specialized Hospital in New Brunswick, … Read More
Dr. Zeeshan Ahmed is invited to participate and speak at the Artificial Intelligence in Drug Discovery event, organized by the New Jersey Economic Development Authority – Life Sciences, which will … Read More
Dr. Zeeshan Ahmed is invited to speak at the Genomics and Precision Public Health Issues Enrichment Event, which will take place September 7-8, 2023 in Atlanta, GA. Talk: Harnessing Big … Read More
Dr. Zeeshan Ahmed is presenting at the 31st annual international conference on Intelligent Systems for Molecular Biology (ISMB), and the 22nd European Conference on Computation1al Biology (ECCB) in Lyon, France, … Read More
Genomic approaches to identify and investigate genes associated with atrial fibrillation and heart failure susceptibility. Atrial fibrillation (AF) and heart failure (HF) contribute to about 45% of all cardiovascular disease … Read More