[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 …

[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 …

[PDF][PDF] From function to translation: Decoding genetic susceptibility to human diseases via artificial intelligence

E Long, P Wan, Q Chen, Z Lu, J Choi - Cell Genomics, 2023 - cell.com
While genome-wide association studies (GWAS) have discovered thousands of disease-
associated loci, molecular mechanisms for a considerable fraction of the loci remain to be …

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 …

Biomedical informatics and machine learning for clinical genomics

JA Diao, IS Kohane, AK Manrai - Human molecular genetics, 2018 - academic.oup.com
While tens of thousands of pathogenic variants are used to inform the many clinical
applications of genomics, there remains limited information on quantitative disease risk for …

Artificial intelligence-driven biomedical genomics

K Guo, M Wu, Z Soo, Y Yang, Y Zhang, Q Zhang… - Knowledge-Based …, 2023 - Elsevier
As genomic research becomes more complex and data-rich, artificial intelligence (AI) has
emerged as a crucial tool for processing and analyzing high-dimensional genomic data …

[HTML][HTML] Debutant iOS app and gene-disease complexities in clinical genomics and precision medicine

Z Ahmed, S Zeeshan, R Xiong, BT Liang - Clinical and translational …, 2019 - Springer
Background The last decade has seen a dramatic increase in the availability of scientific
data, where human-related biological databases have grown not only in count but also in …

[HTML][HTML] Artificial intelligence in clinical and genomic diagnostics

R Dias, A Torkamani - Genome medicine, 2019 - Springer
Artificial intelligence (AI) is the development of computer systems that are able to perform
tasks that normally require human intelligence. Advances in AI software and hardware …

[HTML][HTML] Practicing precision medicine with intelligently integrative clinical and multi-omics data analysis

Z Ahmed - Human genomics, 2020 - Springer
Precision medicine aims to empower clinicians to predict the most appropriate course of
action for patients with complex diseases like cancer, diabetes, cardiomyopathy, and COVID …

Bioinformatics challenges in genome-wide association studies (GWAS)

R De, WS Bush, JH Moore - Clinical Bioinformatics, 2014 - Springer
Genome-wide association studies (GWAS) are a powerful tool for investigators to examine
the human genome to detect genetic risk factors, reveal the genetic architecture of diseases …