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Harsha Vardhan Pokkalla
Harsha Vardhan Pokkalla
PathAI
Verified email at pathai.com
Title
Cited by
Cited by
Year
A machine learning approach enables quantitative measurement of liver histology and disease monitoring in NASH
A Taylor‐Weiner, H Pokkalla, L Han, C Jia, R Huss, C Chung, H Elliott, ...
Hepatology 74 (1), 133-147, 2021
1542021
A machine learning approach to liver histological evaluation predicts clinically significant portal hypertension in NASH cirrhosis
J Bosch, C Chung, OM Carrasco‐Zevallos, SA Harrison, MF Abdelmalek, ...
Hepatology 74 (6), 3146-3160, 2021
382021
Association of artificial intelligence-powered and manual quantification of programmed death-ligand 1 (PD-L1) expression with outcomes in patients treated with nivolumab±ipilimumab
V Baxi, G Lee, C Duan, D Pandya, DN Cohen, R Edwards, H Chang, J Li, ...
Modern Pathology 35 (11), 1529-1539, 2022
232022
Rethinking machine learning model evaluation in pathology
SA Javed, D Juyal, Z Shanis, S Chakraborty, H Pokkalla, A Prakash
arXiv preprint arXiv:2204.05205, 2022
142022
Machine learning models accurately interpret liver histology in patients with nonalcoholic steatohepatitis (NASH)
H Pokkalla, K Pethia, B Glass, JK Kerner, Y Gindin, L Han, R Huss, ...
Hepatology 70, 121A-122A, 2019
112019
AI-based histologic scoring enables automated and reproducible assessment of enrollment criteria and endpoints in NASH clinical trials
JS Iyer, H Pokkalla, C Biddle-Snead, O Carrasco-Zevallos, M Lin, ...
MedRxiv, 2023
72023
Machine Learning Models Identify Novel Histologic Features Predictive of Clinical Disease Progression in Patients with Advanced Fibrosis due to NASH
H Pokkalla, B Glass, L Han, R Huss, K Kersey, GM Subramanian, ...
춘· 추계 학술대회 (The Liver Week) 2020 (1), 248-249, 2020
72020
MedAssist: automated medication kit
K Gupta, A Jain, PH Vardhan, S Singh, A Amber, A Sethi
2014 Texas Instruments India Educators' Conference (TIIEC), 93-99, 2014
72014
An empirical framework for validating artificial intelligence-derived PD-L1 positivity predictions applied to urothelial carcinoma
A Beck, B Glass, H Elliott, JK Kerner, A Khosla, A Lahiri
J Immunother Cancer 7 (suppl 1), P730, 2019
62019
Artificial intelligence-powered retrospective analysis of PD-L1 expression in nivolumab trials of advanced non-small cell lung cancer
V Baxi, A Beck, D Pandya, G Lee, C Hedvat, A Khosla, D Wang, H Elliott, ...
Journal for Immunotherapy of Cancer 7, 2019
42019
CD8+ T cells in tumor parenchyma and stroma by image analysis (IA) and gene expression profiling (GEP): Potential biomarkers for immuno-oncology (IO) therapy.
PM Szabo, G Lee, S Ely, V Baxi, H Pokkalla, H Elliott, D Wang, B Glass, ...
Journal of Clinical Oncology 37 (15_suppl), 2594-2594, 2019
42019
PLUTO: Pathology-Universal Transformer
D Juyal, H Padigela, C Shah, D Shenker, N Harguindeguy, Y Liu, B Martin, ...
arXiv preprint arXiv:2405.07905, 2024
32024
AI-based histologic measurement of NASH (AIM-NASH): a drug development tool for assessing clinical trial end points
O Carrasco-Zevallos, A Taylor-Weiner, H Pokkalla, M Pouryahya, ...
JOURNAL OF HEPATOLOGY 75, S254-S254, 2021
32021
Liver biopsy graph neural networks for automated histologic scoring using the NASH CRN system
J Wang, M Pouryahya, K Leidal, H Pokkalla, D Juyal, Z Shanis, A Pedawi, ...
JOURNAL OF HEPATOLOGY 75, S602-S603, 2021
32021
Abstract P5-02-02: Artificial intelligence powered predictive analysis of atypical ductal hyperplasia from digitized pathology images
JK Kerner, A Cleary, S Jain, H Pokkalla, B Glass, S Grossmith, M Harary, ...
Cancer Research 80 (4_Supplement), P5-02-02-P5-02-02, 2020
32020
Integration of machine learning-based histopathology and hepatic transcriptomic data identifies genes associated with portal inflammation and ductular proliferation as …
M Pouryahya, AH Taylor-Weiner, H Pokkalla, K Pethia, H Elliott, BH Glass, ...
The Liver Meeting Digital Experience™, 2020
32020
Machine learning-based prediction of geboes score and histologic improvement and remission thresholds in ulcerative colitis
Z Shanis, H Padigela, K Sucipto, J Shamshoian, J Li, A Walker, D Fahy, ...
Gastroenterology 164 (4), S25-S26, 2023
22023
Machine learning identifies histologic features associated with regression of cirrhosis in treatment for chronic hepatitis B. Poster presentation at the European Association …
D Juyal, C Shukla, H Pokkalla, A Taylor, O Zevallos, M Resnick
22022
Validation of a machine learning-based approach (DELTA liver fibrosis score) for the assessment of histologic response in patients with advanced fibrosis due to NASH
AH Taylor-Weiner, H Pokkalla, L Han, C Jia, R Huss, C Chung, H Elliott, ...
The Liver Meeting Digital Experience™, 2020
22020
FRI173-Machine learning models accurately interpret liver histology and are associated with disease progression in patients with primary sclerosing cholangitis
N Travis, V Billaut, H Pokkalla, K Pethia, O Zevallos, B Glass, A Taylor, ...
Journal of hepatology 73, S485-S486, 2020
22020
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