Joe W. Gray
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View article: Radiation effects research foundation—a view to the future
Radiation effects research foundation—a view to the future Open
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View article: Building Trauma-Informed Leadership: A Faculty-Guided Undergraduate Action Research Project In Early Childhood Education
Building Trauma-Informed Leadership: A Faculty-Guided Undergraduate Action Research Project In Early Childhood Education Open
This article presents a faculty-guided undergraduate action research project that focuses on advancing trauma-informed practices and social-emotional learning (SEL) in early childhood education. Rooted in a strong theoretical framework tha…
View article: Human interpretable grammar encodes multicellular systems biology models to democratize virtual cell laboratories
Human interpretable grammar encodes multicellular systems biology models to democratize virtual cell laboratories Open
Cells interact as dynamically evolving ecosystems. While recent single-cell and spatial multi-omics technologies quantify individual cell characteristics, predicting their evolution requires mathematical modeling. We propose a conceptual f…
View article: A Crisis Unfolding: The Decline Of U.S. Education And Its Impact On Traditional Teacher Preparation Programs
A Crisis Unfolding: The Decline Of U.S. Education And Its Impact On Traditional Teacher Preparation Programs Open
Traditional teacher preparation programs in the United States are confronting a pivotal moment marked by underlying inequities, evolving policy landscapes, and escalating societal pressures. The following article examines the ongoing decli…
View article: Data from Development and multicenter case-control validation of urinary comprehensive genomic profiling for urothelial carcinoma diagnosis, surveillance, and risk prediction
Data from Development and multicenter case-control validation of urinary comprehensive genomic profiling for urothelial carcinoma diagnosis, surveillance, and risk prediction Open
Purpose: Urinary comprehensive genomic profiling (uCGP) uses next-generation sequencing to identify mutations associated with urothelial carcinoma (UC) and has the potential to improve patient outcomes by noninvasively diagnosing disease, …
View article: Supplementary Tables 1-8 from Development and multicenter case-control validation of urinary comprehensive genomic profiling for urothelial carcinoma diagnosis, surveillance, and risk prediction
Supplementary Tables 1-8 from Development and multicenter case-control validation of urinary comprehensive genomic profiling for urothelial carcinoma diagnosis, surveillance, and risk prediction Open
Supplemental Tables 1-8
View article: Supplementary Figure 1 from Development and multicenter case-control validation of urinary comprehensive genomic profiling for urothelial carcinoma diagnosis, surveillance, and risk prediction
Supplementary Figure 1 from Development and multicenter case-control validation of urinary comprehensive genomic profiling for urothelial carcinoma diagnosis, surveillance, and risk prediction Open
Supplementary Figure 1. Genomic profiles of the validation cohort.
View article: Supplementary Tables 1-8 from Development and multicenter case-control validation of urinary comprehensive genomic profiling for urothelial carcinoma diagnosis, surveillance, and risk prediction
Supplementary Tables 1-8 from Development and multicenter case-control validation of urinary comprehensive genomic profiling for urothelial carcinoma diagnosis, surveillance, and risk prediction Open
Supplemental Tables 1-8
View article: Supplementary Figure 1 from Development and multicenter case-control validation of urinary comprehensive genomic profiling for urothelial carcinoma diagnosis, surveillance, and risk prediction
Supplementary Figure 1 from Development and multicenter case-control validation of urinary comprehensive genomic profiling for urothelial carcinoma diagnosis, surveillance, and risk prediction Open
Supplementary Figure 1. Genomic profiles of the validation cohort.
View article: Supplementary Figure 2 from Development and multicenter case-control validation of urinary comprehensive genomic profiling for urothelial carcinoma diagnosis, surveillance, and risk prediction
Supplementary Figure 2 from Development and multicenter case-control validation of urinary comprehensive genomic profiling for urothelial carcinoma diagnosis, surveillance, and risk prediction Open
Supplemental Figure 2. uCGP Predicted Recurrence Risk by Subgroup.
View article: Supplementary Figure 2 from Development and multicenter case-control validation of urinary comprehensive genomic profiling for urothelial carcinoma diagnosis, surveillance, and risk prediction
Supplementary Figure 2 from Development and multicenter case-control validation of urinary comprehensive genomic profiling for urothelial carcinoma diagnosis, surveillance, and risk prediction Open
Supplemental Figure 2. uCGP Predicted Recurrence Risk by Subgroup.
View article: Segmentation of cellular ultrastructures on sparsely labeled 3D electron microscopy images using deep learning
Segmentation of cellular ultrastructures on sparsely labeled 3D electron microscopy images using deep learning Open
Focused ion beam-scanning electron microscopy (FIB-SEM) images can provide a detailed view of the cellular ultrastructure of tumor cells. A deeper understanding of their organization and interactions can shed light on cancer mechanisms and…
View article: Efficient semi-supervised semantic segmentation of electron microscopy cancer images with sparse annotations
Efficient semi-supervised semantic segmentation of electron microscopy cancer images with sparse annotations Open
Electron microscopy (EM) enables imaging at a resolution of nanometers and can shed light on how cancer evolves to develop resistance to therapy. Acquiring these images has become a routine task.However, analyzing them is now a bottleneck,…
View article: Towards Generalizability and Robustness in Biological Object Detection in Electron Microscopy Images
Towards Generalizability and Robustness in Biological Object Detection in Electron Microscopy Images Open
Machine learning approaches have the potential for meaningful impact in the biomedical field. However, there are often challenges unique to biomedical data that prohibits the adoption of these innovations. For example, limited data, data v…
View article: Efficient semi-supervised semantic segmentation of electron microscopy cancer images with sparse annotations
Efficient semi-supervised semantic segmentation of electron microscopy cancer images with sparse annotations Open
Electron microscopy (EM) enables imaging at nanometer resolution and can shed light on how cancer evolves to develop resistance to therapy. Acquiring these images has become a routine task; however, analyzing them is now the bottleneck, as…
View article: 3D multiplexed tissue imaging reconstruction and optimized region of interest (ROI) selection through deep learning model of channels embedding
3D multiplexed tissue imaging reconstruction and optimized region of interest (ROI) selection through deep learning model of channels embedding Open
Introduction: Tissue-based sampling and diagnosis are defined as the extraction of information from certain limited spaces and its diagnostic significance of a certain object. Pathologists deal with issues related to tumor heterogeneity si…
View article: Longitudinal and multimodal auditing of tumor adaptation to CDK4/6 inhibitors in HR+ metastatic breast cancers
Longitudinal and multimodal auditing of tumor adaptation to CDK4/6 inhibitors in HR+ metastatic breast cancers Open
CDK4/6 inhibitors (CDK4/6i) have transformed the treatment of hormone receptor-positive (HR+), HER2-negative (HR+) breast cancers as they are effective across all clinicopathological, age, and ethnicity subgroups for metastatic HR+ breast …
View article: Digitize your Biology! Modeling multicellular systems through interpretable cell behavior
Digitize your Biology! Modeling multicellular systems through interpretable cell behavior Open
Cells are fundamental units of life, constantly interacting and evolving as dynamical systems. While recent spatial multi-omics can quantitate individual cells’ characteristics and regulatory programs, forecasting their evolution ultimatel…
View article: Supplementary Tables 1-8 from Development and Multicenter Case–Control Validation of Urinary Comprehensive Genomic Profiling for Urothelial Carcinoma Diagnosis, Surveillance, and Risk-Prediction
Supplementary Tables 1-8 from Development and Multicenter Case–Control Validation of Urinary Comprehensive Genomic Profiling for Urothelial Carcinoma Diagnosis, Surveillance, and Risk-Prediction Open
Supplemental Tables 1-8
View article: Supplementary Figure 1 from Development and Multicenter Case–Control Validation of Urinary Comprehensive Genomic Profiling for Urothelial Carcinoma Diagnosis, Surveillance, and Risk-Prediction
Supplementary Figure 1 from Development and Multicenter Case–Control Validation of Urinary Comprehensive Genomic Profiling for Urothelial Carcinoma Diagnosis, Surveillance, and Risk-Prediction Open
Supplementary Figure 1. Genomic profiles of the validation cohort.
View article: Supplementary Tables 1-8 from Development and Multicenter Case–Control Validation of Urinary Comprehensive Genomic Profiling for Urothelial Carcinoma Diagnosis, Surveillance, and Risk-Prediction
Supplementary Tables 1-8 from Development and Multicenter Case–Control Validation of Urinary Comprehensive Genomic Profiling for Urothelial Carcinoma Diagnosis, Surveillance, and Risk-Prediction Open
Supplemental Tables 1-8
View article: Supplementary Figure 1 from Development and Multicenter Case–Control Validation of Urinary Comprehensive Genomic Profiling for Urothelial Carcinoma Diagnosis, Surveillance, and Risk-Prediction
Supplementary Figure 1 from Development and Multicenter Case–Control Validation of Urinary Comprehensive Genomic Profiling for Urothelial Carcinoma Diagnosis, Surveillance, and Risk-Prediction Open
Supplementary Figure 1. Genomic profiles of the validation cohort.
View article: Supplementary Figure 2 from Development and Multicenter Case–Control Validation of Urinary Comprehensive Genomic Profiling for Urothelial Carcinoma Diagnosis, Surveillance, and Risk-Prediction
Supplementary Figure 2 from Development and Multicenter Case–Control Validation of Urinary Comprehensive Genomic Profiling for Urothelial Carcinoma Diagnosis, Surveillance, and Risk-Prediction Open
Supplemental Figure 2. uCGP Predicted Recurrence Risk by Subgroup.
View article: Supplementary Figure 2 from Development and Multicenter Case–Control Validation of Urinary Comprehensive Genomic Profiling for Urothelial Carcinoma Diagnosis, Surveillance, and Risk-Prediction
Supplementary Figure 2 from Development and Multicenter Case–Control Validation of Urinary Comprehensive Genomic Profiling for Urothelial Carcinoma Diagnosis, Surveillance, and Risk-Prediction Open
Supplemental Figure 2. uCGP Predicted Recurrence Risk by Subgroup.
View article: Data from Development and Multicenter Case–Control Validation of Urinary Comprehensive Genomic Profiling for Urothelial Carcinoma Diagnosis, Surveillance, and Risk-Prediction
Data from Development and Multicenter Case–Control Validation of Urinary Comprehensive Genomic Profiling for Urothelial Carcinoma Diagnosis, Surveillance, and Risk-Prediction Open
Purpose:Urinary comprehensive genomic profiling (uCGP) uses next-generation sequencing to identify mutations associated with urothelial carcinoma and has the potential to improve patient outcomes by noninvasively diagnosing disease, predic…
View article: Supplementary Figure 1 from Development and Multicenter Case–Control Validation of Urinary Comprehensive Genomic Profiling for Urothelial Carcinoma Diagnosis, Surveillance, and Risk-Prediction
Supplementary Figure 1 from Development and Multicenter Case–Control Validation of Urinary Comprehensive Genomic Profiling for Urothelial Carcinoma Diagnosis, Surveillance, and Risk-Prediction Open
Supplementary Figure 1. Genomic profiles of the validation cohort.
View article: Supplementary Tables 1-8 from Development and Multicenter Case–Control Validation of Urinary Comprehensive Genomic Profiling for Urothelial Carcinoma Diagnosis, Surveillance, and Risk-Prediction
Supplementary Tables 1-8 from Development and Multicenter Case–Control Validation of Urinary Comprehensive Genomic Profiling for Urothelial Carcinoma Diagnosis, Surveillance, and Risk-Prediction Open
Supplemental Tables 1-8