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Publications on precision medicine ranked in top cited articles by Database (Oxford) and BMJ Innovations.

Our article, “Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine”, included in the High-Impact research, and most cited, read, and discussed articles of 2020 and 2021 from Database: The Journal of Biological Databases and Curation (Oxford University Press).   Top cited articles from BMJ Innovation, includes our article: Integrative … Read More

Magazine: Practicing Precision Medicine with Data Analysis

Practicing Precision Medicine with Data Analysis course at Rutgers was designed with a new research-based approach, where students were introduced to the concepts of modern, basic and medical sciences. It has been grouped with theoretical discussions, basic and life science concepts, and computational skills. Case-studies discussed in this course include peer reviewed findings related toCOVID-19, … Read More

Artificial Intelligence for Personalized and Predictive Genomics Data Analysis.

About this Research Topic This special issue features Artificial Intelligence, Machine Learning, Genomics and Precision Medicine, and invites relevant high-quality original research, systematic review, methods, review, mini review, perspective, case report, data report, policy brief, general commentary, opinion, and editorial article for the transparent peer review and publication. The quest to understand what causes chronic, … Read More

Course: Practicing Precision Medicine with Data Analysis at Byrne Seminars, Rutgers–New Brunswick

Dr. Zeeshan Ahmed is participating in the Byrne Seminars, and teaching a course, Practicing Precision Medicine with Data Analysis, at the Rutgers–New Brunswick, NJ. Precision medicine aims to empower clinicians to predict the most appropriate course of action for patients with complex diseases, and improve routine medical and public health practice. However, practicing precision medicine … Read More

RNA-seq driven expression and enrichment analysis to investigate CVD genes with associated phenotypes among high-risk Heart Failure patients.

Heart failure (HF) is one of the most common complications of cardiovascular diseases (CVDs) and among the leading causes of death in the US. Many other CVDs can lead to increased mortality as well. Investigating the genetic epidemiology and susceptibility to CVDs is a central focus of cardiology and biomedical life sciences. Several studies have … Read More

Intelligent health system for investigation and consenting COVID-19 patients and precision medicine

Advancing frontiers of clinical research, we discuss the need of the intelligent health systems to support deeper investigation of COVID-19. We hypothesize that convergence of the healthcare data and staggering developments in artificial intelligence have potential to elevate recovery process with diagnostic and predictive analysis to identify major causes of mortality, modifiable risk factors and … Read More