Research Articles
Model Fitting for Biochemical Pathways: From Michaelis-Menten Fundamentals to Advanced AI-Driven Approaches
This article provides a comprehensive guide to model fitting for biochemical pathways, tailored for researchers, scientists, and drug development professionals.
Nature's Blueprint: How Metaheuristic Algorithms Are Revolutionizing Biological Models and Drug Discovery
This article explores the transformative role of nature-inspired metaheuristic optimization algorithms in biological modeling and pharmaceutical research.
Global Optimization in Systems Biology: Methods, Applications, and Tools for Biomedical Research
This article provides a comprehensive overview of global optimization, a crucial mathematical framework for solving complex, nonlinear problems in systems biology.
Parameter Estimation in ODE Models: A Comprehensive Guide from Foundations to AI-Driven Applications
This article provides a comprehensive guide to parameter estimation for Ordinary Differential Equation (ODE) models, tailored for researchers, scientists, and drug development professionals.
Deep Learning Models for Autism Diagnosis: A Comprehensive Comparison of Architectures, Performance, and Clinical Applicability
This article provides a systematic analysis of deep learning (DL) approaches for autism spectrum disorder (ASD) diagnosis, addressing the critical need for objective and early screening tools.
Brain Size Dichotomy in Autism: A Comparative Analysis of Overgrowth and Undergrowth in Preclinical ASD Models
This review provides a comprehensive analysis of the divergent brain growth phenotypes—overgrowth and undergrowth—observed in Autism Spectrum Disorder (ASD).
Validating Autism Spectrum Disorder Mechanisms: A Cross-Omics Integration Framework for Research and Drug Development
This article synthesizes current methodologies and findings in cross-omics validation for Autism Spectrum Disorder (ASD), addressing the critical need for reproducible and biologically relevant insights for researchers and drug development...
Validating Autism Spectrum Disorder Genes through Protein Interaction Networks: Systems Biology Approaches and Clinical Translation
This comprehensive review explores the critical role of protein-protein interaction (PPI) network analysis in validating Autism Spectrum Disorder (ASD) risk genes.
Decoding Autism Heterogeneity: A Multimodal Neuroimaging Comparison of ALFF, fALFF, and GMV Across ASD Subtypes
This article provides a comprehensive analysis of Amplitude of Low-Frequency Fluctuation (ALFF), fractional ALFF (fALFF), and Gray Matter Volume (GMV) as critical biomarkers for differentiating autism spectrum disorder (ASD) subtypes.
Beyond the Spectrum: Decoding Autism Heterogeneity Through Structural and Functional MRI Subtypes
Autism Spectrum Disorder (ASD) is characterized by significant clinical and biological heterogeneity, which has been a major obstacle in understanding its neurobiology and developing effective, targeted treatments.