[HTML][HTML] 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 …
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 …
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 …
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) …
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 …
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 …
Personalized interventions are deemed vital given the intricate characteristics,
advancement, inherent genetic composition, and diversity of cardiovascular diseases …
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 …
omic with clinical data is crucial to our understanding of disease pathogenesis and …
[HTML][HTML] Artificial intelligence for personalized and predictive genomics data analysis
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 …
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
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 …
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 …
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 …
emulating the functions of natural Abs. Their in vitro production eliminates the need for an …