Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Alexander Chowdhury"'
Publikováno v:
Informatics, Vol 8, Iss 3, p 59 (2021)
Machine learning has become an increasingly ubiquitous technology, as big data continues to inform and influence everyday life and decision-making. Currently, in medicine and healthcare, as well as in most other industries, the two most prevalent mac
Externí odkaz:
https://doaj.org/article/92f2df9d103749ddbc425298e68f03e1
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
https://doi.org/10.1038/s41591-023-02332-5
Publikováno v:
Clinical Anatomy. 34:387-396
Introduction The lungs have three main fissures: the right oblique fissure (ROF), right horizontal fissure (RHF), and left oblique fissure (LOF). These can be complete, incomplete or absent; quantifying the degree of completeness of these fissures is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8888c416bd5fea27986388b66599116
https://doi.org/10.1002/ca.23661
https://doi.org/10.1002/ca.23661
Autor:
Andrew Bircher, Alexander Chowdhury
Publikováno v:
Orthopaedics and Trauma. 34:161-167
Venous thromboembolism (VTE), which includes deep vein thrombosis (DVT) and pulmonary embolism (PE) is a serious, preventable disease occurring frequently in the UK and globally. The costs to NHS related to VTE are likely to be underestimated but the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4df93bb3541e99aaed2361ad09c3135
https://doi.org/10.1016/j.mporth.2020.03.010
https://doi.org/10.1016/j.mporth.2020.03.010
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783031089985
Machine learning has revolutionized every facet of human life, while also becoming more accessible and ubiquitous. Its prevalence has had a powerful impact in healthcare, with numerous applications and intelligent systems achieving clinical level exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a69f92a367d08a9ccfd1b48fbf98b6de
https://doi.org/10.1007/978-3-031-08999-2_1
https://doi.org/10.1007/978-3-031-08999-2_1
Autor:
Surya Narayanan Hari, Jackson Nyman, Nicita Mehta, Haitham Elmarakeby, Bowen Jiang, Felix Dietlein, Jacob Rosenthal, Eshna Sengupta, Alexander Chowdhury, Renato Umeton, Eliezer M. Van Allen
Computer vision (CV) approaches applied to digital pathology have informed biological discovery and development of tools to help inform clinical decision-making. However, batch effects in the images have the potential to introduce spurious confounder
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::880db38697ffa6b9195dafe8257213e7
https://doi.org/10.1101/2021.09.14.460365
https://doi.org/10.1101/2021.09.14.460365
Machine learning has become an increasingly ubiquitous technology, as big data continues to inform and influence everyday life and decision-making. Currently in healthcare, as well as in most other industries, the two most prevalent machine learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a374246b2384abaf291d9dd6a67b3b2d
Autor:
Davide Placido, Bo Yuan, Jessica X. Hjaltelin, 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, Peter Kraft, Brian M. Wolpin, Michael Rosenthal, Søren Brunak, Chris Sander
Publikováno v:
Cancer Research. 82:LB550-LB550
Pancreatic cancer is a leading cause of cancer-related deaths worldwide with increasing incidence. Early diagnosis of pancreatic cancer is a key challenge, as the disease is typically detected at a late stage. However, patients who present with early
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31ede468bd48cdfeba5193a2af6e60bf
https://doi.org/10.1158/1538-7445.am2022-lb550
https://doi.org/10.1158/1538-7445.am2022-lb550
Publikováno v:
Informatics, Vol 8, Iss 59, p 59 (2021)
Machine learning has become an increasingly ubiquitous technology, as big data continues to inform and influence everyday life and decision-making. Currently, in medicine and healthcare, as well as in most other industries, the two most prevalent mac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b6c60cc50b5f7c7eafad1ed404d0f46
https://doi.org/10.3390/informatics8030059
https://doi.org/10.3390/informatics8030059