[HTML][HTML] Artificial intelligence, healthcare, clinical genomics, and pharmacogenomics approaches in precision medicine

H Abdelhalim, A Berber, M Lodi, R Jain, A Nair… - Frontiers in …, 2022 - frontiersin.org
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 …

[HTML][HTML] Genomic approaches to identify and investigate genes associated with atrial fibrillation and heart failure susceptibility

KK Patel, C Venkatesan, H Abdelhalim, S Zeeshan… - Human genomics, 2023 - Springer
Atrial fibrillation (AF) and heart failure (HF) contribute to about 45% of all cardiovascular
disease (CVD) deaths in the USA and around the globe. Due to the complex nature …

[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) …

[HTML][HTML] 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 …

[HTML][HTML] Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for …

W DeGroat, H Abdelhalim, K Patel, D Mendhe… - Scientific reports, 2024 - nature.com
Personalized interventions are deemed vital given the intricate characteristics,
advancement, inherent genetic composition, and diversity of cardiovascular diseases …

[HTML][HTML] Leveraging transcriptomics for precision diagnosis: Lessons learned from cancer and sepsis

M Tsakiroglou, A Evans, M Pirmohamed - Frontiers in Genetics, 2023 - frontiersin.org
Diagnostics require precision and predictive ability to be clinically useful. Integration of multi-
omic with clinical data is crucial to our understanding of disease pathogenesis and …

[HTML][HTML] Artificial intelligence for personalized and predictive genomics data analysis

Z Ahmed, S Zeeshan, D Lee - Frontiers in genetics, 2023 - frontiersin.org
The quest to understand what causes chronic, acute, infectious, and rare diseases has been
a central focus of human health studies since the beginning of scientific discovery (Ahmed …

[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 …

Digital health in chronic obstructive pulmonary disease

H Long, S Li, Y Chen - Chronic Diseases and Translational …, 2023 - Wiley Online Library
Chronic obstructive pulmonary disease (COPD) can be prevented and treated through
effective care, reducing exacerbations and hospitalizations. Early identification of individuals …

[HTML][HTML] The rise of big data: deep sequencing-driven computational methods are transforming the landscape of synthetic antibody design

E Gallo - Journal of Biomedical Science, 2024 - Springer
Synthetic antibodies (Abs) represent a category of artificial proteins capable of closely
emulating the functions of natural Abs. Their in vitro production eliminates the need for an …