Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Anant Madabhushi
Institutions:
Emory University,
The Wallace H. Coulter Department of Biomedical Engineering,
Atlanta VA Medical Center
Observed institutions:
Emory University,
The Wallace H. Coulter Department of Biomedical Engineering,
Atlanta VA Medical Center
ORCID:
0000-0002-5741-0399
Observed ORCID:
0000-0002-5741-0399
OpenAlex ID:
A5123355229
Spatial transcriptomics-guided pathology biomarker as a predictor of benefit of adjuvant docetaxel in high-risk localized prostate cancer: NRG/RTOG 0521 (NCT00288080).
2026
·
Md Mamunur Rahaman
, Amritpal Singh
, et al.
·
Journal of Clinical Oncology
·
1
Spatial transcriptomics–guided computational pathology model to stratify docetaxel benefit in metastatic hormone-sensitive prostate cancer: CHAARTED trial (ECOG-ACRIN E3805).
2026
·
Md Mamunur Rahaman
, Sebastian R. Medina
, et al.
·
Journal of Clinical Oncology
·
1
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2026
·
Weisi Xie
, Nicholas P. Reder
, et al.
AI-derived CD8⁺ cytotoxic T-cell immune signatures from baseline H&E images to predict immunotherapy benefit over chemotherapy in non–small cell lung cancer: Blinded validation in CheckMate-227 (CM227).
2026
·
Cristian Barrera
, Wiem Safta
, et al.
·
Journal of Clinical Oncology
Baseline CT-derived QVT score as predictor of bevacizumab benefit in advanced non-squamous NSCLC: A retrospective biomarker analysis of SWOG S0819.
2026
·
Kai Zhang
, Pushkar Mutha
, et al.
·
Journal of Clinical Oncology
CT-derived visceral fat phenotypes to reveal a metabolically defined TOFI subgroup in a lung cancer screening cohort: An imaging-based framework for evaluating the BMI paradox.
2026
·
Taofik Ahmed Suleiman
, Hilmi Al-Shakhshir
, et al.
·
Journal of Clinical Oncology
PDF
An AI-based pathology classifier to predict benefit from enzalutamide in metastatic hormone-sensitive prostate cancer (mHSPC) from ENZAMET (ANZUP 1304).
2026
·
Sebastian R. Medina
, Naoto Tokuyama
, et al.
·
Journal of Clinical Oncology
AI-driven H&E plasma cell to predict pathological complete response in IO-treated triple-negative breast cancer (Yale; NCT02489448).
2026
·
Amritpal Singh
, Arpit Aggarwal
, et al.
·
Journal of Clinical Oncology
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2026
·
Weisi Xie
, Nicholas P. Reder
, et al.
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2026
·
Weisi Xie
, Nicholas P. Reder
, et al.
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2026
·
Weisi Xie
, Nicholas P. Reder
, et al.
Computational pathology features of immune architecture predict clinically relevant outcomes in small-cell lung cancer (SCLC)
2026
·
Cristian Barrera
, Prantesh Jain
, et al.
·
npj Precision Oncology
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2026
·
Weisi Xie
, Nicholas P. Reder
, et al.
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2026
·
Weisi Xie
, Nicholas P. Reder
, et al.
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
2026
·
Weisi Xie
, Nicholas P. Reder
, et al.
Supplementary Figure S3 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026
·
Sebastian Medina
, Naoto Tokuyama
, et al.
Supplementary Figure S14 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026
·
Sebastian Medina
, Naoto Tokuyama
, et al.
Supplementary Figure S9 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026
·
Sebastian Medina
, Naoto Tokuyama
, et al.
Data from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026
·
Sebastian Medina
, Naoto Tokuyama
, et al.
Supplementary Table S5 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026
·
Sebastian Medina
, Naoto Tokuyama
, et al.
Supplementary Figure S10 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026
·
Sebastian Medina
, Naoto Tokuyama
, et al.
Supplementary Figure S12 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026
·
Sebastian Medina
, Naoto Tokuyama
, et al.
Supplementary Figure S8 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026
·
Sebastian Medina
, Naoto Tokuyama
, et al.
Supplementary Figure S5 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026
·
Sebastian Medina
, Naoto Tokuyama
, et al.
Supplementary Figure S11 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026
·
Sebastian Medina
, Naoto Tokuyama
, et al.
Show more works
View as search
Works count:
38
Citation count:
2
H-index:
1
I10-index:
Year
Topic
Type