Zeeshan Ahmed

Has grant

Assistant Professor of Medicine - Tenure Track

Rutgers New Jersey Medical School

United States

Research Interests

Explore related searches

Professors in United States Professors in Medical Science Medical Science professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Recent Grants

Grant: Close

Elucidation of the effects of ketone bodies on microvascular dysfunction through epigenetic regulation and ma-chine learning.

Open Date: 2022-01-01

Close Date: 2023-01-01

Grant: Close

Asian Resource Center for Minority Aging Research

Open Date: 2022-01-01

Close Date: 2023-01-01

Grant: Close

Administrative Supplement to Support Collaborations to Improve AI/ML-Readiness

Open Date: 2021-01-01

Close Date:

Grant: Close

Multi-functional AI and ML developments for mainstream precision medicine to investigate COVID-19

Open Date: 2020-01-01

Close Date: 2021-01-01

Grant: Close

Precise & Reproducible OMICS-Data Management and Integrative System for Precision Medicine

Open Date: 2018-01-01

Close Date: 2020-01-01

Articles (19)

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (2)

Donghyung Lee

University of Miami

UNITED STATES

View details

Saman Zeeshan

Rutgers University

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Zeeshan Ahmed

Research Interests

Explore related searches

Contact this professor

Recent Grants

Articles (19)

GWAS advancements to investigate disease associations and biological mechanisms

Artificial intelligence for omics data analysis

Deciphering expression and variants in cardiovascular disease genes among heart failure population for precision medicine

IntelliGenes: Interactive and user-friendly multimodal AI/ML application for biomarker discovery and predictive medicine

Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for precision medicine

Deciphering genomic signatures associating human dental oral craniofacial diseases with cardiovascular diseases using machine learning approaches.

Editorial: Artificial intelligence for personalized and predictive genomics data analysis

Genomic approaches to identify and investigate genes associated with atrial fibrillation and heart failure susceptibility.

Investigating genes associated with cardiovascular disease among heart failure patients for translational research and precision medicine

Integrated ACMG-approved genes and ICD codes for the translational research and precision medicine

Hygieia: AI/ML pipeline integrating healthcare and genomics data to investigate genes associated with targeted disorders and predict disease

Investigating genes associated with heart failure, atrial fibrillation, and other cardiovascular diseases, and predicting disease using machine learning techniques for translational research and precision medicine

IntelliGenes: a novel machine learning pipeline for biomarker discovery and predictive analysis using multi-genomic profiles

Role of genome-wide association studies, polygenic risk score and AI/ML using big data for personalized treatment to the patients with cardiovascular disease

Functional mutation, splice, distribution, and divergence analysis of impactful genes associated with heart failure and other cardiovascular diseases.

Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine

RNA‐seq‐driven expression analysis to investigate cardiovascular disease genes with associated phenotypes among atrial fibrillation patients

Artificial intelligence and machine learning approaches using gene expression and variant data for personalized medicine.

Investigating underlying human immunity genes, implicated diseases and their relationship to COVID-19.

Collaborators (2)

Donghyung Lee

Saman Zeeshan

Make your next move.