[HTML][HTML] Interpretable and explainable predictive machine learning models for data-driven protein engineering
Protein engineering through directed evolution and (semi) rational design has become a
powerful approach for optimizing and enhancing proteins with desired properties. The …
powerful approach for optimizing and enhancing proteins with desired properties. The …
Application of Artificial Intelligence for Classification, Segmentation, Early Detection, Early Diagnosis, and Grading of Diabetic Retinopathy From Fundus Retinal …
G Rajarajeshwari, GC Selvi - IEEE Access, 2024 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) remains a major factor contributing to vision loss worldwide,
particularly among individuals with diabetes. Timely and accurate diagnosis of DR is …
particularly among individuals with diabetes. Timely and accurate diagnosis of DR is …
HOTGpred: Enhancing human O-linked threonine glycosylation prediction using integrated pretrained protein language model-based features and multi-stage feature …
NT Pham, Y Zhang, R Rakkiyappan… - Computers in Biology and …, 2024 - Elsevier
O-linked glycosylation is a complex post-translational modification (PTM) in human proteins
that plays a critical role in regulating various cellular metabolic and signaling pathways. In …
that plays a critical role in regulating various cellular metabolic and signaling pathways. In …
Artificial Intelligence in Point-of-Care Biosensing: Challenges and Opportunities
The integration of artificial intelligence (AI) into point-of-care (POC) biosensing has the
potential to revolutionize diagnostic methodologies by offering rapid, accurate, and …
potential to revolutionize diagnostic methodologies by offering rapid, accurate, and …
Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to reduce preventable all-cause readmissions or death
TL Chang, H Xia, S Mahajan, R Mahajan, J Maisog… - Plos one, 2024 - journals.plos.org
We developed an inherently interpretable multilevel Bayesian framework for representing
variation in regression coefficients that mimics the piecewise linearity of ReLU-activated …
variation in regression coefficients that mimics the piecewise linearity of ReLU-activated …
Stacking with Recursive Feature Elimination-Isolation Forest for classification of diabetes mellitus
Diabetes Mellitus is one of the oldest diseases known to humankind, dating back to ancient
Egypt. The disease is a chronic metabolic disorder that heavily burdens healthcare …
Egypt. The disease is a chronic metabolic disorder that heavily burdens healthcare …
Pilot-Study to Explore Metabolic Signature of Type 2 Diabetes: A Pipeline of Tree-Based Machine Learning and Bioinformatics Techniques for Biomarkers Discovery
Background: This study aims to identify unique metabolomics biomarkers associated with
Type 2 Diabetes (T2D) and develop an accurate diagnostics model using tree-based …
Type 2 Diabetes (T2D) and develop an accurate diagnostics model using tree-based …
[HTML][HTML] Clinical applications of artificial intelligence in diabetes management: A bibliometric analysis and comprehensive review
A Daza, AJ Olivos-López, MC Pizarro… - Informatics in Medicine …, 2024 - Elsevier
Background Diabetes is one of the most common pathologies today and has become a
constant problem in public health worldwide. Objective The purpose of this study is to …
constant problem in public health worldwide. Objective The purpose of this study is to …
Machine learning-based identification and validation of immune-related biomarkers for early diagnosis and targeted therapy in diabetic retinopathy
Y Tao, M Xiong, Y Peng, L Yao, H Zhu, Q Zhou… - Gene, 2025 - Elsevier
The early diagnosis of diabetic retinopathy (DR) is challenging, highlighting the urgent need
to identify new biomarkers. Immune responses play a crucial role in DR, yet there are …
to identify new biomarkers. Immune responses play a crucial role in DR, yet there are …
Novel approach exploring the correlation between presepsin and routine laboratory parameters using explainable artificial intelligence
JS Jeong, T Kang, H Ju, CH Cho - Heliyon, 2024 - cell.com
Although presepsin, a crucial biomarker for the diagnosis and management of sepsis, has
gained prominence in contemporary medical research, its relationship with routine …
gained prominence in contemporary medical research, its relationship with routine …