AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning

Autor: Imrie, Fergus, Cebere, Bogdan, McKinney, Eoin F., van der Schaar, Mihaela

Publikováno v: PLOS Digital Health, 2023, 2(6): e0000276

Diagnostic and prognostic models are increasingly important in medicine and inform many clinical decisions. Recently, machine learning approaches have shown improvement over conventional modeling techniques by better capturing complex interactions be

Externí odkaz: http://arxiv.org/abs/2210.12090

A biomarker-stratified comparison of top-down versus accelerated step-up treatment strategies for patients with newly diagnosed Crohn's disease (PROFILE): a multicentre, open-label randomised controlled trial

Autor: Noor, Nurulamin, Lee, James, Bond, Simon, Dowling, Francis, Brezina, Biljana, Patel, Kamal, Ahmad, Tariq, Banim, Paul, Berrill, James, Cooney, Rachel, De La Revilla Negro, Juan, de Silva, Shanika, Din, Shahida, Durai, Dharmaraj, Gordon, John, Irving, Peter, Johnson, Matthew, Kent, Alexandra, Kok, Klaartje Bel, Moran, Gordon, Mowat, Craig, Patel, Pritash, Probert, Chris, Raine, Tim, Saich, Rebecca, Seward, Abigail, Sharpstone, Dan, Smith, Melissa, Subramanian, Sreedhar, Upponi, Sara, Wiles, Alan, Williams, Horace, van Den Brink, Gijs, Vermeire, Severine, Jairath, Vipul, D'Haens, Geert, McKinney, Eoin, Lyons, Paul, Lindsay, James, Kennedy, Nicholas, Smith, Kenneth, Parkes, Miles, Allcock, Clare, Bhatti, Suhaylah, Blackwell, Jonathan, Boulton-Jones, Robert, Brookes, Matthew, Butcher, Rhys, Butterworth, Jeffrey, Champion, Karlena, Chaudhary, Rakesh, Cole, Andy, Derikx, Lauranne, Dhar, Anjan, Flowerdew, Mary, Goel, Rishi, Hart, Ailsa, Hughes, Rory, Javaid, Babur, Knight, Paul, Lee, Jacinta, Lees, Charlie, Levell, Emma, Li, Andy, Murray, Charles, O'Brien, Leisha, Parkes, Gareth, Pollok, Richard, Powles, Sam, Ramdas, Arvind, Smith, Philip, Speight, Richard Ally, Travis, Simon, Weaver, Sean, Wesley, Emma, Noor, Nurulamin M ^*, Lee, James C ^*, Patel, Kamal V, Banim, Paul J, Berrill, James W, Gordon, John N, Irving, Peter M, Kent, Alexandra J, Kok, Klaartje B, Moran, Gordon W, Probert, Chris S, Smith, Melissa A, Upponi, Sara S, Williams, Horace R T, van den Brink, Gijs R, Vermeire, Séverine, D'Haens, Geert R, McKinney, Eoin F, Lyons, Paul A, Lindsay, James O, Kennedy, Nicholas A, Smith, Kenneth G C

Publikováno v: In The Lancet Gastroenterology & Hepatology May 2024 9(5):415-427

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Transcriptional networks in at-risk individuals identify signatures of type 1 diabetes progression

Autor: Xhonneux, Louis-Pascal, Knight, Oliver, Lernmark, Åke, Bonifacio, Ezio, Hagopian, William A, Rewers, Marian J, She, Jin-Xiong, Toppari, Jorma, Parikh, Hemang, Smith, Kenneth GC, Ziegler, Anette-G, Akolkar, Beena, Krischer, Jeffrey P, McKinney, Eoin F

Type 1 diabetes (T1D) is a disease of insulin deficiency that results from autoimmune destruction of pancreatic islet β cells. The exact cause of T1D remains unknown, although asymptomatic islet autoimmunity lasting from weeks to years before diagno

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6effb9d56cba09c0e1b34e686f6dce17
https://www.repository.cam.ac.uk/handle/1810/319532