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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

Precision medicine with multi-omics strategies, deep phenotyping, and predictive analysis

Precision medicine is driven by the paradigm shift of empowering clinicians to predict the most appropriate course of action for patients with complex diseases and to improve routine medical and public health practice. Understanding patients’ multi-omics make-up in conjunction with the clinical data will lead to determining predisposition, diagnostic, prognostic and predictive biomarkers and to … Read More

Multi-omics strategies for personalized and predictive medicine: past, current, and future translational opportunities

Precision medicine is driven by the paradigm shift of empowering clinicians to predict the most appropriate course of action for patients with complex diseases and improve routine medical and public health practice. It promotes integrating collective and individualized clinical data with patient specific multi-omics data to develop therapeutic strategies, and knowledgebase for predictive and personalized … 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

JWES: Pipeline for WGS & WES data processing, and gene-variant discovery, annotation, prediction, and genotyping

Whole genome and exome sequencing (WGS/WES) are the most popular next-generation sequencing (NGS) methodologies, and are at present often used to detect rare and common genetic variants of clinical significance. We emphasize that automated sequence data processing, management, and visualization should be an indispensable component of modern WGS and WES data analysis for sequence assembly, … Read More