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Hepatology (Baltimore, Md.)
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August 1, 2021
A Machine Learning Approach to Liver Histological Evaluation Predicts Clinically Significant Portal Hypertension in NASH Cirrhosis
Jaime Bosch, Chuhan Chung, Oscar M Carrasco-Zevallos, et al.
The Lancet. Oncology
|
January 17, 2022
Trastuzumab with trimodality treatment for oesophageal adenocarcinoma with HER2 overexpression (NRG Oncology/RTOG 1010): a multicentre, randomised, phase 3 trial
Howard P Safran, Kathryn Winter, David H Ilson, et al.
Medrxiv : the Preprint Server for Health Sciences
|
May 10, 2023
AI-based histologic scoring enables automated and reproducible assessment of enrollment criteria and endpoints in NASH clinical trials
Janani S Iyer, Harsha Pokkalla, Charles Biddle-Snead, et al.
Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer
|
December 9, 2023
Artificial Intelligence-Powered Assessment of Pathologic Response to Neoadjuvant Atezolizumab in Patients With NSCLC: Results From the LCMC3 Study
Sanja Dacic, William D Travis, Jennifer M Giltnane, et al.
Hepatology (Baltimore, Md.)
|
February 11, 2021
A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASH
Amaro Taylor-Weiner, Harsha Pokkalla, Ling Han, et al.
Nature Medicine
|
August 7, 2024
AI-based automation of enrollment criteria and endpoint assessment in clinical trials in liver diseases
Janani S Iyer, Dinkar Juyal, Quang Le, et al.
Nature Medicine
|
November 4, 2024
Clinical validation of an AI-based pathology tool for scoring of metabolic dysfunction-associated steatohepatitis
Hanna Pulaski, Stephen A Harrison, Shraddha S Mehta, et al.
Hepatology (Baltimore, Md.)
|
November 10, 2020
Combination Therapies Including Cilofexor and Firsocostat for Bridging Fibrosis and Cirrhosis Attributable to NASH
Rohit Loomba, Mazen Noureddin, Kris V Kowdley, et al.
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of 3
Search research articles
Search
Showing results (21-30 of 28) with videos related to
Sort By:
Page
of 3
You have reached the last page of results.
This site can display upto 28 results.
Hepatology (Baltimore, Md.)
|
August 1, 2021
A Machine Learning Approach to Liver Histological Evaluation Predicts Clinically Significant Portal Hypertension in NASH Cirrhosis
Jaime Bosch, Chuhan Chung, Oscar M Carrasco-Zevallos, et al.
The Lancet. Oncology
|
January 17, 2022
Trastuzumab with trimodality treatment for oesophageal adenocarcinoma with HER2 overexpression (NRG Oncology/RTOG 1010): a multicentre, randomised, phase 3 trial
Howard P Safran, Kathryn Winter, David H Ilson, et al.
Medrxiv : the Preprint Server for Health Sciences
|
May 10, 2023
AI-based histologic scoring enables automated and reproducible assessment of enrollment criteria and endpoints in NASH clinical trials
Janani S Iyer, Harsha Pokkalla, Charles Biddle-Snead, et al.
Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer
|
December 9, 2023
Artificial Intelligence-Powered Assessment of Pathologic Response to Neoadjuvant Atezolizumab in Patients With NSCLC: Results From the LCMC3 Study
Sanja Dacic, William D Travis, Jennifer M Giltnane, et al.
Hepatology (Baltimore, Md.)
|
February 11, 2021
A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASH
Amaro Taylor-Weiner, Harsha Pokkalla, Ling Han, et al.
Nature Medicine
|
August 7, 2024
AI-based automation of enrollment criteria and endpoint assessment in clinical trials in liver diseases
Janani S Iyer, Dinkar Juyal, Quang Le, et al.
Nature Medicine
|
November 4, 2024
Clinical validation of an AI-based pathology tool for scoring of metabolic dysfunction-associated steatohepatitis
Hanna Pulaski, Stephen A Harrison, Shraddha S Mehta, et al.
Hepatology (Baltimore, Md.)
|
November 10, 2020
Combination Therapies Including Cilofexor and Firsocostat for Bridging Fibrosis and Cirrhosis Attributable to NASH
Rohit Loomba, Mazen Noureddin, Kris V Kowdley, et al.
Page
of 3