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Page 1
AI-based histologic scoring enables automated and reproducible assessment of enrollment criteria and endpoints in NASH clinical trials.
Iyer JS, Pokkalla H, Biddle-Snead C, Carrasco-Zevallos O, Lin M, Shanis Z, Le Q, Juyal D, Pouryahya M, Pedawi A, Hoffman S, Elliott H, Leidal K, Myers RP, Chung C, Billin AN, Watkins TR, Resnick M, Wack K, Glickman J, Burt AD, Loomba R, Sanyal AJ, Montalto MC, Beck AH, Taylor-Weiner A, Wapinski I. Iyer JS, et al. Among authors: wapinski i. medRxiv [Preprint]. 2023 Apr 25:2023.04.20.23288534. doi: 10.1101/2023.04.20.23288534. medRxiv. 2023. PMID: 37162870 Free PMC article. Preprint.
Integration of deep learning-based histopathology and transcriptomics reveals key genes associated with fibrogenesis in patients with advanced NASH.
Conway J, Pouryahya M, Gindin Y, Pan DZ, Carrasco-Zevallos OM, Mountain V, Subramanian GM, Montalto MC, Resnick M, Beck AH, Huss RS, Myers RP, Taylor-Weiner A, Wapinski I, Chung C. Conway J, et al. Among authors: wapinski i. Cell Rep Med. 2023 Apr 18;4(4):101016. doi: 10.1016/j.xcrm.2023.101016. Cell Rep Med. 2023. PMID: 37075704 Free PMC article.
Artificial Intelligence-Powered Assessment of Pathologic Response to Neoadjuvant Atezolizumab in Patients With NSCLC: Results From the LCMC3 Study.
Dacic S, Travis WD, Giltnane JM, Kos F, Abel J, Hilz S, Fujimoto J, Sholl L, Ritter J, Khalil F, Liu Y, Taylor-Weiner A, Resnick M, Yu H, Hirsch FR, Bunn PA Jr, Carbone DP, Rusch V, Kwiatkowski DJ, Johnson BE, Lee JM, Hennek SR, Wapinski I, Nicholas A, Johnson A, Schulze K, Kris MG, Wistuba II. Dacic S, et al. Among authors: wapinski i. J Thorac Oncol. 2024 May;19(5):719-731. doi: 10.1016/j.jtho.2023.12.010. Epub 2023 Dec 7. J Thorac Oncol. 2024. PMID: 38070597
AI powered quantification of nuclear morphology in cancers enables prediction of genome instability and prognosis.
Abel J, Jain S, Rajan D, Padigela H, Leidal K, Prakash A, Conway J, Nercessian M, Kirkup C, Javed SA, Biju R, Harguindeguy N, Shenker D, Indorf N, Sanghavi D, Egger R, Trotter B, Gerardin Y, Brosnan-Cashman JA, Dhoot A, Montalto MC, Parmar C, Wapinski I, Khosla A, Drage MG, Yu L, Taylor-Weiner A. Abel J, et al. Among authors: wapinski i. NPJ Precis Oncol. 2024 Jun 19;8(1):134. doi: 10.1038/s41698-024-00623-9. NPJ Precis Oncol. 2024. PMID: 38898127 Free PMC article.
AI-based automation of enrollment criteria and endpoint assessment in clinical trials in liver diseases.
Iyer JS, Juyal D, Le Q, Shanis Z, Pokkalla H, Pouryahya M, Pedawi A, Stanford-Moore SA, Biddle-Snead C, Carrasco-Zevallos O, Lin M, Egger R, Hoffman S, Elliott H, Leidal K, Myers RP, Chung C, Billin AN, Watkins TR, Patterson SD, Resnick M, Wack K, Glickman J, Burt AD, Loomba R, Sanyal AJ, Glass B, Montalto MC, Taylor-Weiner A, Wapinski I, Beck AH. Iyer JS, et al. Among authors: wapinski i. Nat Med. 2024 Oct;30(10):2914-2923. doi: 10.1038/s41591-024-03172-7. Epub 2024 Aug 7. Nat Med. 2024. PMID: 39112795 Free PMC article.
Association of artificial intelligence-powered and manual quantification of programmed death-ligand 1 (PD-L1) expression with outcomes in patients treated with nivolumab ± ipilimumab.
Baxi V, Lee G, Duan C, Pandya D, Cohen DN, Edwards R, Chang H, Li J, Elliott H, Pokkalla H, Glass B, Agrawal N, Lahiri A, Wang D, Khosla A, Wapinski I, Beck A, Montalto M. Baxi V, et al. Among authors: wapinski i. Mod Pathol. 2022 Nov;35(11):1529-1539. doi: 10.1038/s41379-022-01119-2. Epub 2022 Jul 15. Mod Pathol. 2022. PMID: 35840720 Free PMC article.
A Machine Learning Approach to Liver Histological Evaluation Predicts Clinically Significant Portal Hypertension in NASH Cirrhosis.
Bosch J, Chung C, Carrasco-Zevallos OM, Harrison SA, Abdelmalek MF, Shiffman ML, Rockey DC, Shanis Z, Juyal D, Pokkalla H, Le QH, Resnick M, Montalto M, Beck AH, Wapinski I, Han L, Jia C, Goodman Z, Afdhal N, Myers RP, Sanyal AJ. Bosch J, et al. Among authors: wapinski i. Hepatology. 2021 Dec;74(6):3146-3160. doi: 10.1002/hep.32087. Hepatology. 2021. PMID: 34333790 Free article.
Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes.
Diao JA, Wang JK, Chui WF, Mountain V, Gullapally SC, Srinivasan R, Mitchell RN, Glass B, Hoffman S, Rao SK, Maheshwari C, Lahiri A, Prakash A, McLoughlin R, Kerner JK, Resnick MB, Montalto MC, Khosla A, Wapinski IN, Beck AH, Elliott HL, Taylor-Weiner A. Diao JA, et al. Among authors: wapinski in. Nat Commun. 2021 Mar 12;12(1):1613. doi: 10.1038/s41467-021-21896-9. Nat Commun. 2021. PMID: 33712588 Free PMC article.
A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASH.
Taylor-Weiner A, Pokkalla H, Han L, Jia C, Huss R, Chung C, Elliott H, Glass B, Pethia K, Carrasco-Zevallos O, Shukla C, Khettry U, Najarian R, Taliano R, Subramanian GM, Myers RP, Wapinski I, Khosla A, Resnick M, Montalto MC, Anstee QM, Wong VW, Trauner M, Lawitz EJ, Harrison SA, Okanoue T, Romero-Gomez M, Goodman Z, Loomba R, Beck AH, Younossi ZM. Taylor-Weiner A, et al. Among authors: wapinski i. Hepatology. 2021 Jul;74(1):133-147. doi: 10.1002/hep.31750. Epub 2021 Jun 24. Hepatology. 2021. PMID: 33570776 Free PMC article.
31 results