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Ahmed lab is organizing GVViZ and PAS workshop at the ISCB-LA SoIBio BioNet MX, 2022

Ahmed lab is organizing GVViZ and PAS workshop at the ISCB-Latin America SoIBio BioNetMX Conference on Bioinformatics 2022, organized by the Bioinformatics Network Mexico (BioNetMX) together with the Iberoamerican Society of Bioinformatics (SoIBio) and the International Society for Computational Biology (ISCB). VIRTUAL WORKSHOPS AND TUTORIALS, MONDAY, NOVEMBER 7, 10AM – 2PM (EST). GVViZ & PAS: … Read More

Chapter Four – 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

RNA-seq driven expression analysis to investigate Cardiovascular disease genes with associated phenotypes among Atrial Fibrillation patients

Atrial Fibrillation (AF) disease is defined as high-frequency excitation of the atrium, resulting in both dyssynchronous atrial contraction and irregularity of ventricular excitation. AF, includes risk factors such as obesity, diabetes, smoking and sedentary lifestyle. It is exasperated in older male individual of European Ancestry. Previous studies have shown that both heart failure (HF) and … Read More

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

Precision medicine has greatly aided in improving health outcomes using earlier diagnosis and better prognosis for chronic diseases. It makes use of clinical data associated with the patient as well as their multi-omics/genomic data to reach a conclusion regarding how a physician should proceed with a specific treatment. Compared to the symptom-driven approach in medicine, … Read More

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

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

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

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