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

S Vadapalli, H Abdelhalim, S Zeeshan… - Briefings in …, 2022 - academic.oup.com
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 …

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

Z Ahmed - Progress in molecular biology and translational …, 2022 - Elsevier
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 …

[HTML][HTML] Investigating genes associated with heart failure, atrial fibrillation, and other cardiovascular diseases, and predicting disease using machine learning …

V Venkat, H Abdelhalim, W DeGroat, S Zeeshan… - Genomics, 2023 - Elsevier
Cardiovascular disease (CVD) is the leading cause of mortality and loss of disability
adjusted life years (DALYs) globally. CVDs like Heart Failure (HF) and Atrial Fibrillation (AF) …

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

I Mhatre, H Abdelhalim, W Degroat, S Ashok… - Scientific reports, 2023 - nature.com
Cardiovascular disease (CVD) is caused by a multitude of complex and largely heritable
conditions. Identifying key genes and understanding their susceptibility to CVD in the human …

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

Z Ahmed - Emerging topics in life sciences, 2022 - portlandpress.com
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 …

Recent applications of bioinformatics in target identification and drug discovery for Alzheimer's disease

SK Singh, A Kumar, RB Singh, P Ghosh… - Current topics in …, 2022 - benthamdirect.com
Alzheimer's disease (AD) is a complex multifactorial neurodegenerative disease
characterized by progressive memory loss. The main pathological features of the disease …

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

Z Ahmed, W Degroat, H Abdelhalim, S Zeeshan… - Clinical oral …, 2024 - Springer
Objectives Periodontal diseases are chronic, inflammatory disorders that involve the
destruction of supporting tissues surrounding the teeth which leads to permanent damage …

RNA-seq driven expression and enrichment analysis to investigate CVD genes with associated phenotypes among high-risk heart failure patients

Z Ahmed, S Zeeshan, BT Liang - Human genomics, 2021 - Springer
Background 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 …

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

W DeGroat, V Venkat, W Pierre-Louis, H Abdelhalim… - Software Impacts, 2023 - Elsevier
Due to the advancements in sequencing technologies, genomics data is developing at an
unmatched pace and levels to foster translational research. Over ten million genomics …

Genomics pipelines to investigate susceptibility in whole genome and exome sequenced data for variant discovery, annotation, prediction and genotyping

Z Ahmed, EG Renart, S Zeeshan - PeerJ, 2021 - peerj.com
Over the last few decades, genomics is leading toward audacious future, and has been
changing our views about conducting biomedical research, studying diseases, and …