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 …
diagnose and treat disease in specific groups of patients, and it is considered one of the …
A review on recent progress in machine learning and deep learning methods for cancer classification on gene expression data
Data-driven model with predictive ability are important to be used in medical and healthcare.
However, the most challenging task in predictive modeling is to construct a prediction model …
However, the most challenging task in predictive modeling is to construct a prediction model …
Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for precision …
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 …
Automatic assessment method and device for depression symptom severity based on emotional facial expression and pupil-wave
M Li, Z Lu, Q Cao, J Gao, B Hu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Depression is a serious mental disorder, significantly burdens individuals, families, and
society. For clinical psychiatrists, assessing the severity of depression is a crucial tool in …
society. For clinical psychiatrists, assessing the severity of depression is a crucial tool in …
IntelliGenes: a novel machine learning pipeline for biomarker discovery and predictive analysis using multi-genomic profiles
In this article, we present IntelliGenes, a novel machine learning (ML) pipeline for the multi-
genomics exploration to discover biomarkers significant in disease prediction with high …
genomics exploration to discover biomarkers significant in disease prediction with high …
[HTML][HTML] Explainable Multi-Layer Dynamic Ensemble Framework Optimized for Depression Detection and Severity Assessment
D Imans, T Abuhmed, M Alharbi, S El-Sappagh - Diagnostics, 2024 - mdpi.com
Background: Depression is a pervasive mental health condition, particularly affecting older
adults, where early detection and intervention are essential to mitigate its impact. This study …
adults, where early detection and intervention are essential to mitigate its impact. This study …
[HTML][HTML] Emerging Strategies in Drug Development and Clinical Care in the Era of Personalized and Precision Medicine
In the ever-changing landscape of modern medicine, we face an important moment where
the interplay of disease, drugs, and patients defines a new paradigm. The trajectory is …
the interplay of disease, drugs, and patients defines a new paradigm. The trajectory is …
Novel feature selection methods for construction of accurate epigenetic clocks
Epigenetic clocks allow us to accurately predict the age and future health of individuals
based on the methylation status of specific CpG sites in the genome and are a powerful tool …
based on the methylation status of specific CpG sites in the genome and are a powerful tool …
WWC2 modulates GABAA-receptor-mediated synaptic transmission, revealing class-specific mechanisms of synapse regulation by WWC family proteins
TL Dunham, JR Wilkerson, RC Johnson, RL Huganir… - Cell Reports, 2024 - cell.com
The WW and C2 domain-containing protein (WWC2) is implicated in several neurological
disorders. Here, we demonstrate that WWC2 interacts with inhibitory, but not excitatory …
disorders. Here, we demonstrate that WWC2 interacts with inhibitory, but not excitatory …
A novel 4 immune-related genes as diagnostic markers and correlated with immune infiltrates in major depressive disorder
L Ning, Z Yang, J Chen, Z Hu, W Jiang, L Guo, Y Xu… - BMC immunology, 2022 - Springer
Background Immune response is prevalently related with major depressive disorder (MDD)
pathophysiology. However, the study on the relationship between immune-related genes …
pathophysiology. However, the study on the relationship between immune-related genes …