Publications by authors named "Ilan Wapinski"

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Digital Versus Manual PD-L1 Scoring in Advanced NSCLC From the IMpower110 and IMpower150 Trials.
Roy S Herbst, Hen Prizant, Daniel Ruderman, Jake Conway, John Shamshoian, Ilan Wapinski

J Thorac Oncol· December 2025

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Deployment of a Machine Learning Algorithm in a Real-World Cohort for Quality Control Monitoring of Human Epidermal Growth Factor-2-Stained Clinical Specimens in Breast Cancer.
Benjamin Glass, Michel E Vandenberghe, Surya Teja Chavali, Syed Ashar Javed, Murray Resnick, Ilan Wapinski

Arch Pathol Lab Med· August 2025

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AI-based automation of enrollment criteria and endpoint assessment in clinical trials in liver diseases.
Janani S Iyer, Dinkar Juyal, Quang Le, Zahil Shanis, Harsha Pokkalla, Ilan Wapinski

Nat Med· October 2024

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AI powered quantification of nuclear morphology in cancers enables prediction of genome instability and prognosis.
John Abel, Suyog Jain, Deepta Rajan, Harshith Padigela, Kenneth Leidal, Ilan Wapinski

NPJ Precis Oncol· June 2024

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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, Filip Kos, John Abel, Ilan Wapinski

J Thorac Oncol· May 2024

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Artificial Intelligence Enables Quantitative Assessment of Ulcerative Colitis Histology.
Fedaa Najdawi, Kathleen Sucipto, Pratik Mistry, Stephanie Hennek, Christina K B Jayson, Ilan Wapinski

Mod Pathol· June 2023

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Integration of deep learning-based histopathology and transcriptomics reveals key genes associated with fibrogenesis in patients with advanced NASH.
Jake Conway, Maryam Pouryahya, Yevgeniy Gindin, David Z Pan, Oscar M Carrasco-Zevallos, Ilan Wapinski

Cell Rep Med· April 2023

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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, Oscar Carrasco-Zevallos, Mary Lin, Ilan Wapinski

medRxiv· April 2023

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Association of artificial intelligence-powered and manual quantification of programmed death-ligand 1 (PD-L1) expression with outcomes in patients treated with nivolumab ± ipilimumab.
Vipul Baxi, George Lee, Chunzhe Duan, Dimple Pandya, Daniel N Cohen, Ilan Wapinski

Mod Pathol· November 2022

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A Machine Learning Approach to Liver Histological Evaluation Predicts Clinically Significant Portal Hypertension in NASH Cirrhosis.
Jaime Bosch, Chuhan Chung, Oscar M Carrasco-Zevallos, Stephen A Harrison, Manal F Abdelmalek, Ilan Wapinski

Hepatology· December 2021

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A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASH.
Amaro Taylor-Weiner, Harsha Pokkalla, Ling Han, Catherine Jia, Ryan Huss, Ilan Wapinski

Hepatology· July 2021

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Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes.
James A Diao, Jason K Wang, Wan Fung Chui, Victoria Mountain, Sai Chowdary Gullapally, Ilan N Wapinski

Nat Commun· March 2021

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Combination Therapies Including Cilofexor and Firsocostat for Bridging Fibrosis and Cirrhosis Attributable to NASH.
Rohit Loomba, Mazen Noureddin, Kris V Kowdley, Anita Kohli, Aasim Sheikh, Ilan Wapinski

Hepatology· February 2021

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SynerClust: a highly scalable, synteny-aware orthologue clustering tool.
Christophe H Georgescu, Abigail L Manson, Alexander D Griggs, Christopher A Desjardins, Alejandro Pironti, Ilan Wapinski

Microb Genom· November 2018

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Construction and Analysis of Two Genome-Scale Deletion Libraries for Bacillus subtilis.
Byoung-Mo Koo, George Kritikos, Jeremiah D Farelli, Horia Todor, Kenneth Tong, Ilan Wapinski

Cell Syst· March 2017

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Abundance-based classifier for the prediction of mass spectrometric peptide detectability upon enrichment (PPA).
Jan Muntel, Sarah A Boswell, Shaojun Tang, Saima Ahmed, Ilan Wapinski

Mol Cell Proteomics· February 2015

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Correction: Evolutionary principles of modular gene regulation in yeasts.
Dawn A Thompson, Sushmita Roy, Michelle Chan, Mark P Styczynski, Jenna Pfiffner, Ilan Wapinski

Elife· July 2013

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Arboretum: reconstruction and analysis of the evolutionary history of condition-specific transcriptional modules.
Sushmita Roy, Ilan Wapinski, Jenna Pfiffner, Courtney French, Amanda Socha

Genome Res· June 2013

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Evolutionary principles of modular gene regulation in yeasts.
Dawn A Thompson, Sushmita Roy, Michelle Chan, Mark P Styczynsky, Jenna Pfiffner, Ilan Wapinski

Elife· June 2013

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A functional selection model explains evolutionary robustness despite plasticity in regulatory networks.
Naomi Habib, Ilan Wapinski, Hanah Margalit, Aviv Regev, Nir Friedman

Mol Syst Biol· January 2013

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Proto-genes and de novo gene birth.
Anne-Ruxandra Carvunis, Thomas Rolland, Ilan Wapinski, Michael A Calderwood, Muhammed A Yildirim

Nature· July 2012

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Comparative analysis of Mycobacterium and related Actinomycetes yields insight into the evolution of Mycobacterium tuberculosis pathogenesis.
Abigail Manson McGuire, Brian Weiner, Sang Tae Park, Ilan Wapinski, Sahadevan Raman

BMC Genomics· March 2012

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Comparative functional genomics of the fission yeasts.
Nicholas Rhind, Zehua Chen, Moran Yassour, Dawn A Thompson, Brian J Haas, Ilan Wapinski

Science· May 2011

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Reconstructing gene histories in Ascomycota fungi.
Ilan Wapinski, Aviv Regev

Methods Enzymol· January 2011

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Comparative genomics reveals mobile pathogenicity chromosomes in Fusarium.
Li-Jun Ma, H Charlotte van der Does, Katherine A Borkovich, Jeffrey J Coleman, Marie-Josée Daboussi, Ilan Wapinski

Nature· March 2010

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