يعرض 1 - 10 نتائج من 10 نتيجة بحث عن '"Harsha Pokkalla"', وقت الاستعلام: 1.09s تنقيح النتائج
  1. 1
    Association of artificial intelligence-powered and manual quantification of programmed death-ligand 1 (PD-L1) expression with outcomes in patients treated with nivolumab ± ipilimumab

    المؤلفون: Vipul Baxi, George Lee, Chunzhe Duan, Dimple Pandya, Daniel N. Cohen, Robin Edwards, Han Chang, Jun Li, Hunter Elliott, Harsha Pokkalla, Benjamin Glass, Nishant Agrawal, Abhik Lahiri, Dayong Wang, Aditya Khosla, Ilan Wapinski, Andrew Beck, Michael Montalto

    المصدر: Modern Pathology. 35:1529-1539

    مصطلحات موضوعية: Carcinoma, Transitional Cell, Nivolumab, Lung Neoplasms, Urinary Bladder Neoplasms, Artificial Intelligence, Carcinoma, Non-Small-Cell Lung, Biomarkers, Tumor, Humans, Antibodies, Monoclonal, Ipilimumab, B7-H1 Antigen, Retrospective Studies, Pathology and Forensic Medicine

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29cbc823250d76a4cdbb72523de57d26
    https://doi.org/10.1038/s41379-022-01119-2

    Find this article in full text from Springer Verlag. Find this article in full text from ProQuest
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  2. 2
    AI-based histologic scoring enables automated and reproducible assessment of enrollment criteria and endpoints in NASH clinical trials

    المؤلفون: Janani S. Iyer, Harsha Pokkalla, Charles Biddle-Snead, Oscar Carrasco-Zevallos, Mary Lin, Zahil Shanis, Quang Le, Dinkar Juyal, Maryam Pouryahya, Aryan Pedawi, Sara Hoffman, Hunter Elliott, Kenneth Leidal, Robert P. Myers, Chuhan Chung, Andrew N. Billin, Timothy R. Watkins, Murray Resnick, Katy Wack, Jon Glickman, Alastair D. Burt, Rohit Loomba, Arun J. Sanyal, Michael C. Montalto, Andrew H. Beck, Amaro Taylor-Weiner, Ilan Wapinski

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::cf4e90e1edfaeb039c78c57d3af13b08
    https://doi.org/10.1101/2023.04.20.23288534

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  3. 3
    A Machine Learning Approach to Liver Histological Evaluation Predicts Clinically Significant Portal Hypertension in NASH Cirrhosis

    المؤلفون: Don C. Rockey, Andrew H. Beck, Murray B. Resnick, Nezam H. Afdhal, Michael Christopher Montalto, Oscar Carrasco-Zevallos, Catherine Jia, Zachary Goodman, Harsha Pokkalla, Mitchell L. Shiffman, Zahil Shanis, Ling Han, Jaime Bosch, Manal F. Abdelmalek, Arun J. Sanyal, Quang Huy Le, Chuhan Chung, Robert P. Myers, Ilan Wapinski, Stephen A. Harrison, Dinkar Juyal

    المصدر: Bosch, Jaime; Chung, Chuhan; Carrasco-Zevallos, Oscar M; Harrison, Stephen A; Abdelmalek, Manal F; Shiffman, Mitchell L; Rockey, Don C; Shanis, Zahil; Juyal, Dinkar; Pokkalla, Harsha; Le, Quang Huy; Resnick, Murray; Montalto, Michael; Beck, Andrew H; Wapinski, Ilan; Han, Ling; Jia, Catherine; Goodman, Zachary; Afdhal, Nezam; Myers, Robert P; ... (2021). A Machine Learning Approach to Liver Histological Evaluation Predicts Clinically Significant Portal Hypertension in NASH Cirrhosis. Hepatology, 74(6), pp. 3146-3160. Wiley 10.1002/hep.32087 <http://dx.doi.org/10.1002/hep.32087>

    مصطلحات موضوعية: Liver Cirrhosis, Male, Cirrhosis, Haemodynamic response, Bilirubin, Biopsy, Portal venous pressure, 610 Medicine & health, Machine learning, computer.software_genre, Diagnosis, Differential, Machine Learning, chemistry.chemical_compound, Clinical Trials, Phase II as Topic, Non-alcoholic Fatty Liver Disease, Fibrosis, Hypertension, Portal, Image Processing, Computer-Assisted, medicine, Humans, Randomized Controlled Trials as Topic, Hepatology, medicine.diagnostic_test, Receiver operating characteristic, business.industry, Middle Aged, Prognosis, medicine.disease, Portal Pressure, Liver, ROC Curve, chemistry, Liver biopsy, Portal hypertension, Female, Artificial intelligence, 610 Medizin und Gesundheit, business, computer

    وصف الملف: application/pdf

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fc2a0c59dd1dd080f4daa05edc2ac5b
    https://doi.org/10.1002/hep.32087

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  4. 4
    MACHINE LEARNING-BASED PREDICTION OF GEBOES SCORE AND HISTOLOGIC IMPROVEMENT AND REMISSION THRESHOLDS IN ULCERATIVE COLITIS

    المؤلفون: Zahil Shanis, Harshith Padigela, Kathleen Sucipto, John Shamshoian, Jin Li, Andrew Walker, Darren Fahy, Mary Lin, Mike Montalto, Andrew Beck, Jimish Mehta, Ilan Wapinski, Archit Khosla, Harsha Pokkalla, Fedaa Najdawi, Christina Jayson

    المصدر: Inflammatory Bowel Diseases. 29:S19-S20

    مصطلحات موضوعية: Hepatology, Gastroenterology, Immunology and Allergy

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84cca14a924302d327704f8c24243626
    https://doi.org/10.1093/ibd/izac247.038

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  5. 5
    A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASH

    المؤلفون: Manuel Romero-Gómez, Michael Trauner, Ilan Wapinski, Benjamin Glass, Ryan S Huss, Chuhan Chung, Ling Han, Andrew H. Beck, Kishalve Pethia, Hunter L. Elliott, Robert P. Myers, Amaro Taylor-Weiner, Harsha Pokkalla, Vincent Wai-Sun Wong, Catherine Jia, Michael Christopher Montalto, Rohit Loomba, Zobair M. Younossi, Murray B. Resnick, Eric Lawitz, Stephen A. Harrison, Aditya Khosla, Takeshi Okanoue, G. Mani Subramanian, Quentin M. Anstee, Ross Taliano, Chinmay Shukla, Oscar Carrasco-Zevallos, Robert Najarian, Zachary Goodman, Urmila Khettry

    المصدر: Hepatology (Baltimore, Md.)

    مصطلحات موضوعية: Liver Cirrhosis, 0301 basic medicine, Cirrhosis, Biopsy, Pathological staging, Disease, Machine learning, computer.software_genre, Severity of Illness Index, law.invention, Machine Learning, Steatohepatitis/Metabolic Liver Disease, 03 medical and health sciences, Deep Learning, 0302 clinical medicine, Randomized controlled trial, Artificial Intelligence, Non-alcoholic Fatty Liver Disease, Fibrosis, law, Image Processing, Computer-Assisted, Humans, Medicine, Liver histology, Randomized Controlled Trials as Topic, Hepatology, business.industry, Reproducibility of Results, Original Articles, medicine.disease, 030104 developmental biology, Liver, Original Article, 030211 gastroenterology & hepatology, Metric (unit), Artificial intelligence, Steatosis, business, computer

    وصف الملف: application/pdf

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18729418f83a6ac6db2087b70aca5780
    https://doi.org/10.1002/hep.31750

    View record at Wiley
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  6. 6
    Machine learning models accurately interpret liver histology and are associated with disease progression in patients with primary sclerosing cholangitis

    المؤلفون: Nate Travis, Vincent Billaut, Harsha Pokkalla, Kishalve Pethia, Oscar Zevallos, Benjamin Glass, Amaro Taylor, Christopher Bowlus, Atsushi Tanaka, Douglas Thorburn, Xiaomin Lu, Ryan Huss, Chuhan Chung, Mani Subramanian, Robert Myers, Andrew Muir, Kris V. Kowdley, Zachary Goodman, Aditya Khosla, Andrew Beck, Murray Resnick, Ilan Wapinski, Michael Trauner, Cynthia Levy

    المصدر: Journal of Hepatology. 73:S485-S486

    مصطلحات موضوعية: Hepatology

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::2d5d236b081d04013689ec1c2be7419f
    https://doi.org/10.1016/s0168-8278(20)31451-3

    View record from ScienceDirect Full Text via ClinicalKey
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  7. 7
    Machine learning identifies histologic features associated with regression of cirrhosis in treatment for chronic hepatitis B

    المؤلفون: Dinkar Juyal, Chinmay Shukla, Harsha Pokkalla, Amaro Taylor, Oscar Zevallos, Murray Resnick, Michael Montalto, Andrew Beck, Ilan Wapinski, Patrick Marcellin, John F. Flaherty, Vithika Suri, Anuj Gaggar, Mani Subramanian, Ira Jacobson, Edward Gane, Maria Buti

    المصدر: Journal of Hepatology. 73:S140-S141

    مصطلحات موضوعية: Hepatology

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::cd16403c535b5b67832acabafdc47eb2
    https://doi.org/10.1016/s0168-8278(20)30791-1

    View record from ScienceDirect Full Text via ClinicalKey
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  8. 8
    Machine learning models identify novel histologic features predictive of clinical disease progression in patients with advanced fibrosis due to non-alcoholic steatohepatitis

    المؤلفون: Harsha Pokkalla, Kishalve Pethia, Amaro Taylor, Benjamin Glass, Hunter Elliott, Ling Han, Catherine Jia, Ryan Huss, Chuhan Chung, Mani Subramanian, Robert Myers, Stephen Harrison, Zachary Goodman, Murray Resnick, Aditya Khosla, Andrew Beck, Ilan Wapinski, Arun Sanyal, Zobair Younossi

    المصدر: Journal of Hepatology. 73:S402

    مصطلحات موضوعية: Hepatology

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::ceb2947ce5a49fdca03e1c6d47e4c1c6
    https://doi.org/10.1016/s0168-8278(20)31289-7

    View record from ScienceDirect Full Text via ClinicalKey
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  9. 9
    Abstract P5-02-02: Artificial intelligence powered predictive analysis of atypical ductal hyperplasia from digitized pathology images

    المؤلفون: Harsha Pokkalla, Elizabeth A. Mittendorf, Suyog Dutt Jain, Benjamin Glass, Aditya Khosla, Andrew H. Beck, Allison S. Cleary, Jennifer K. Kerner, Tari A. King, Sam Grossmith, Maya Harary, Stuart J. Schnitt, Ilan Wapinski

    المصدر: Cancer Research. 80:P5-02

    مصطلحات موضوعية: Cancer Research, Pathology, medicine.medical_specialty, Invasive carcinoma, Receiver operating characteristic, business.industry, Ductal carcinoma, Hyperplasia, medicine.disease, Oncology, Breast core needle biopsy, Medicine, Papilloma, Ductal Hyperplasia, business, Lobular Neoplasia

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::ab1bdf6a40fd573604a7e4e5e7898134
    https://doi.org/10.1158/1538-7445.sabcs19-p5-02-02

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  10. 10
    CD8+ T cells in tumor parenchyma and stroma by image analysis (IA) and gene expression profiling (GEP): Potential biomarkers for immuno-oncology (I-O) therapy

    المؤلفون: Zhenhao Qi, Hunter L. Elliott, Darren Locke, Dayong Wang, Michael Christopher Montalto, Neeraj Adya, Robin Edwards, Scott Ely, Jennifer K. Kerner, Alex Greenfield, Harsha Pokkalla, Dimple Pandya, Péter Szabó, George Lee, Ilan Wapinski, Cyrus Hedvat, Benjamin Glass, Vipul Baxi

    المصدر: Journal of Clinical Oncology. 37:2594-2594

    مصطلحات موضوعية: Cancer Research, Tumor microenvironment, business.industry, Gene expression profiling, 03 medical and health sciences, 0302 clinical medicine, Oncology, Stroma, 030220 oncology & carcinogenesis, Potential biomarkers, Parenchyma, Cancer research, Cytotoxic T cell, Distribution (pharmacology), Medicine, business, CD8, 030215 immunology

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::90c030bb2f11ec86ead067127aa84b25
    https://doi.org/10.1200/jco.2019.37.15_suppl.2594

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