Skip to main content

Homepage

This precision medicine project is by Ahmed Lab

Recent News

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

Precision medicine uses genetic, environmental, and lifestyle factors to more accurately diagnose and treat disease in specific groups of patients, and it is considered one of the most promising medical efforts our time. The use of genetics is arguably the most data-rich and complex components of precision medicine. The grand challenge today is the successful … Read More

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

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

Abstract Aim: A human immunogenetics variation study was conducted in samples collected from diverse COVID-19 populations. Materials & methods: Whole-genome and whole-exome sequencing (WGS/WES), data processing, analysis and visualization pipeline were applied to identify variants associated with genes of interest. Results: A total of 2886 mutations were found across the entire set of 13 genomes. … Read More

View More Posts