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Iscience
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December 29, 2023
Inhibition of 7α,26-dihydroxycholesterol biosynthesis promotes midbrain dopaminergic neuron development
James Hennegan, Aled H Bryant, Lauren Griffiths, et al.
Immunity
|
March 20, 2012
Rank signaling links the development of invariant γδ T cell progenitors and Aire(+) medullary epithelium
Natalie A Roberts, Andrea J White, William E Jenkinson, et al.
JCO Precision Oncology
|
May 18, 2026
Erratum: Imaging- and Tumor Biomarker-Based Multivariable Model for Early Prediction of Pathologic Complete Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer
Beatriz E Adrada, Mary S Guirguis, Lei Huo, et al.
JCO Precision Oncology
|
December 18, 2025
Imaging- and Tumor Biomarker-Based Multivariable Model for Early Prediction of Pathologic Complete Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer
Beatriz E Adrada, Mary S Guirguis, Lei Huo, et al.
NPJ Breast Cancer
|
January 10, 2023
Predictors of success in establishing orthotopic patient-derived xenograft models of triple negative breast cancer
Gloria V Echeverria, Shirong Cai, Yizheng Tu, et al.
Frontiers in Oncology
|
November 9, 2023
Longitudinal dynamic contrast-enhanced MRI radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer
Bikash Panthi, Rania M Mohamed, Beatriz E Adrada, et al.
Journal of Parkinson'S Disease
|
May 3, 2024
Patient and Public Involvement and Engagement in the Development of a Platform Clinical Trial for Parkinson's Disease: An Evaluation Protocol
Marie-Louise Zeissler, Nikul Bakshi, Michèle Bartlett, et al.
NPJ Breast Cancer
|
November 20, 2025
Early tumor volume reduction by breast DCE MRI predicts pathologic complete response to neoadjuvant therapy in triple negative breast cancer
Mary S Guirguis, Beatriz E Adrada, Clinton Yam, et al.
Cancers
|
March 28, 2025
Deep Learning Models Based on Pretreatment MRI and Clinicopathological Data to Predict Responses to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer
Zhan Xu, Zijian Zhou, Jong Bum Son, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
February 15, 2021
Functional Tumor Volume by Fast Dynamic Contrast-Enhanced MRI for Predicting Neoadjuvant Systemic Therapy Response in Triple-Negative Breast Cancer
Benjamin C Musall, Abeer H Abdelhafez, Beatriz E Adrada, et al.
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of 50
Search research articles
Search
Showing results (441-450 of 493) with videos related to
Sort By:
Page
of 50
Iscience
|
December 29, 2023
Inhibition of 7α,26-dihydroxycholesterol biosynthesis promotes midbrain dopaminergic neuron development
James Hennegan, Aled H Bryant, Lauren Griffiths, et al.
Immunity
|
March 20, 2012
Rank signaling links the development of invariant γδ T cell progenitors and Aire(+) medullary epithelium
Natalie A Roberts, Andrea J White, William E Jenkinson, et al.
JCO Precision Oncology
|
May 18, 2026
Erratum: Imaging- and Tumor Biomarker-Based Multivariable Model for Early Prediction of Pathologic Complete Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer
Beatriz E Adrada, Mary S Guirguis, Lei Huo, et al.
JCO Precision Oncology
|
December 18, 2025
Imaging- and Tumor Biomarker-Based Multivariable Model for Early Prediction of Pathologic Complete Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer
Beatriz E Adrada, Mary S Guirguis, Lei Huo, et al.
NPJ Breast Cancer
|
January 10, 2023
Predictors of success in establishing orthotopic patient-derived xenograft models of triple negative breast cancer
Gloria V Echeverria, Shirong Cai, Yizheng Tu, et al.
Frontiers in Oncology
|
November 9, 2023
Longitudinal dynamic contrast-enhanced MRI radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer
Bikash Panthi, Rania M Mohamed, Beatriz E Adrada, et al.
Journal of Parkinson'S Disease
|
May 3, 2024
Patient and Public Involvement and Engagement in the Development of a Platform Clinical Trial for Parkinson's Disease: An Evaluation Protocol
Marie-Louise Zeissler, Nikul Bakshi, Michèle Bartlett, et al.
NPJ Breast Cancer
|
November 20, 2025
Early tumor volume reduction by breast DCE MRI predicts pathologic complete response to neoadjuvant therapy in triple negative breast cancer
Mary S Guirguis, Beatriz E Adrada, Clinton Yam, et al.
Cancers
|
March 28, 2025
Deep Learning Models Based on Pretreatment MRI and Clinicopathological Data to Predict Responses to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer
Zhan Xu, Zijian Zhou, Jong Bum Son, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
February 15, 2021
Functional Tumor Volume by Fast Dynamic Contrast-Enhanced MRI for Predicting Neoadjuvant Systemic Therapy Response in Triple-Negative Breast Cancer
Benjamin C Musall, Abeer H Abdelhafez, Beatriz E Adrada, et al.
Page
of 50