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Paper 6: Hybrid CNN for Breast Cancer Detection in Multi-Modality Imaging
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Polyherbal Phytochemicals as Multi-Target Inhibitors of Key Breast Cancer Proteins: A Computational Approach
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Discovery of Horsfieldia macrothyrsa Bioactives with Cytotoxic Effects on Breast Cancer Cells Through In Vitro and Docking Analyses
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Sepsis detection using biomarkers and machine learning
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Paper 11: Optimizing the Multi-Omics Data Types and Variant Combinations for Accurate Breast Cancer Molecular Subtypes Classification
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Cytotoxicity of Bioactive Peptides from Cowpea (Vigna unguiculata L. Walp) against Breast Cancer Cells (MCF-7)
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Evaluation of MCF-7 Breast Cancer Cell Cytotoxic and Antioxidant Activities of Peptide Fractions from Symbiotic Bacteria of Jellyfish Catostylus sp.
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Optimized ResNet-50 framework for mammogram-based breast cancer classification: a comparative evaluation with EfficientNet-B0
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Intelligent CAD System for Automatic Detection of Mitotic Cells from Breast Cancer Histology Slide Images Based on Teaching-Learning-Based Optimization
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Linking reduced prefrontal microcircuit inhibition in schizophrenia to EEG biomarkers in silico
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On the Problem of Latent Temporal Modulation in Diagnostic Decision-Making
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Feasibility, Usability, and Preliminary Effectiveness of an mHealth App to Promote Screening Behaviors Among High-Risk Populations for Breast Cancer: Randomized Controlled Pilot Study
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Smart Contract–Enabled P2P Energy Trading: A Formally Verified Game-Theoretic Framework
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Deep Learning-based Detection of Motor Biomarkers for Autism from Children's Video Recordings
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Noninvasive Electrophysiological Biomarkers of Olfactory Responses Across Cognitive States in Alzheimer Dementia: Cross-Sectional Study
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Data replication and update propagation in XML P2P data management systems
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Deciphering the Potential of Monopterus albus Protein Hydrolysate as a Therapeutic Candidate Against Cervical Cancer by Integrating Content Analysis, Network Pharmacology, and Molecular Docking
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Geographic Patterns in I2P Peer Selection: An Empirical Network Topology Analysis
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An Optimised Computational Framework for Cross-Cohort Metagenomic Classification Using P-Value Statistical Filtering
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Gait Analysis for Identifying Normal Cognition, Subjective Cognitive Decline, and Mild Cognitive Impairment in Parkinson Disease: Diagnostic Study
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The Potential of Prospect Theory under Inductive Reasoning
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P-Pascal : a data-oriented persistent programming language
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Effects of Telerehabilitation Based on Motion Recognition Technology on Exercise Endurance of Patients With Non–Small Cell Lung Cancer After Surgery: Single-Center, Prospective, Open-Label, Randomized Controlled Trial
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Waste Factor in Backscatter Communications: Fundamentals, Potentials, and Future Challenges