Adipose tissue and skeletal muscle wasting precede clinical diagnosis of pancreatic cancer

Autor: Ana Babic, Michael H. Rosenthal, Tilak K. Sundaresan, Natalia Khalaf, Valerie Lee, Lauren K. Brais, Maureen Loftus, Leah Caplan, Sarah Denning, Anamol Gurung, Joanna Harrod, Khoschy Schawkat, Chen Yuan, Qiao-Li Wang, Alice A. Lee, Leah H. Biller, Matthew B. Yurgelun, Kimmie Ng, Jonathan A. Nowak, Andrew J. Aguirre, Sangeeta N. Bhatia, Matthew G. Vander Heiden, Stephen K. Van Den Eeden, Bette J. Caan, Brian M. Wolpin

Publikováno v: Nature Communications, Vol 14, Iss 1, Pp 1-9 (2023)

Abstract Patients with pancreatic cancer commonly develop weight loss and muscle wasting. Whether adipose tissue and skeletal muscle losses begin before diagnosis and the potential utility of such losses for earlier cancer detection are not well unde

Externí odkaz: https://doaj.org/article/cdfd07dd22ed47b9aca3132200d8cb87

Independent assessment of a deep learning system for lymph node metastasis detection on the Augmented Reality Microscope

Autor: David Jin, Joseph H. Rosenthal, Elaine E. Thompson, Jared Dunnmon, Arash Mohtashamian, Daniel Ward, Ryan Austin, Hassan Tetteh, Niels H. Olson

Publikováno v: Journal of Pathology Informatics, Vol 13, Iss , Pp 100142- (2022)

Several machine learning algorithms have demonstrated high predictive capability in the identification of cancer within digitized pathology slides. The Augmented Reality Microscope (ARM) has allowed these algorithms to be seamlessly integrated within

Externí odkaz: https://doaj.org/article/eaee99a16e8f4ed09b784c7643b09831

A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories

Autor: Davide Placido, Bo Yuan, Jessica X. Hjaltelin, Chunlei Zheng, Amalie D. Haue, Piotr J. Chmura, Chen Yuan, Jihye Kim, Renato Umeton, Gregory Antell, Alexander Chowdhury, Alexandra Franz, Lauren Brais, Elizabeth Andrews, Debora S. Marks, Aviv Regev, Siamack Ayandeh, Mary T. Brophy, Nhan V. Do, Peter Kraft, Brian M. Wolpin, Michael H. Rosenthal, Nathanael R. Fillmore, Søren Brunak, Chris Sander

Publikováno v: Placido, D, Yuan, B, Hjaltelin, J X, Zheng, C, Haue, A D, Chmura, P J, Yuan, C, Kim, J, Umeton, R, Antell, G, Chowdhury, A, Franz, A, Brais, L, Andrews, E, Marks, D S, Regev, A, Ayandeh, S, Brophy, M T, Do, N V, Kraft, P, Wolpin, B M, Rosenthal, M H, Fillmore, N R, Brunak, S & Sander, C 2023, ' A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories ', Nature Medicine, vol. 29, pp. 1113-1122 . https://doi.org/10.1038/s41591-023-02332-5

Pancreatic cancer is an aggressive disease that typically presents late with poor outcomes, indicating a pronounced need for early detection. In this study, we applied artificial intelligence methods to clinical data from 6 million patients (24,000 p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2eee684e47fb6a2b97f37854cff113fd
https://doi.org/10.1038/s41591-023-02332-5

Utility of Normalized Body Composition Areas, Derived From Outpatient Abdominal CT Using a Fully Automated Deep Learning Method, for Predicting Subsequent Cardiovascular Events

Autor: Kirti, Magudia, Christopher P, Bridge, Camden P, Bay, Subrina, Farah, Ana, Babic, Florian J, Fintelmann, Lauren K, Brais, Katherine P, Andriole, Brian M, Wolpin, Michael H, Rosenthal

Publikováno v: American Journal of Roentgenology. 220:236-244

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29b2630dba0dffdf7a6b51819207b437
https://doi.org/10.2214/ajr.22.27977

High Level Production of Monoclonal Antibodies Using an Optimized Plant Expression System

Autor: Andrew G. Diamos, Joseph G. L. Hunter, Mary D. Pardhe, Sun H. Rosenthal, Haiyan Sun, Bonnie C. Foster, Michelle P. DiPalma, Qiang Chen, Hugh S. Mason

Publikováno v: Frontiers in Bioengineering and Biotechnology, Vol 7 (2020)

Biopharmaceuticals are a large and fast-growing sector of the total pharmaceutical market with antibody-based therapeutics accounting for over 100 billion USD in sales yearly. Mammalian cells are traditionally used for monoclonal antibody production,

Externí odkaz: https://doaj.org/article/7dbedbc40996457faf93f23e818853cf