Search tips
ECCMID 2023
Courses & Events
Guidelines
From the archive: ECCMID and more before 2010
Search Results
Sort by:
Filter 0
Sort by
Filter
Sort by
Relevance
Date descending
Date ascending
06 October 2023
Can machine learning help us?
Nathan Pfeiffer-Smadja
18 April 2023 - P3491
Machine learning for individualised antimicrobial intravenous to oral switch
William Bolton, Richard Wilson, Pantelis Georgiou, Alison Holmes, Timothy Rawson
18 April 2023 - E1329
A photo finish of machine learning models for predicting beta-lactam target non-attainment in critically ill patients
Ravish Gangapersad, Andre Wieringa, Tim Ewoldt, Matthias Gijsen, Birgit Koch, Alan Abdulla
18 April 2023 - O1214
Using machine learning for probabilistic assignment of the source of clinical Campylobacteriosis cases in the United States
Ben Pascoe
18 April 2023 - P3189
Hypothermic oxygenated machine-perfusion fluid-related infection in a liver transplant recipient: first case report in the literature
Giulia Viero, Andrea Lombardi, Daniele Dondossola, Luca Del Prete, Carolina Perali, Angelo Maccaro, Lucio Caccamo, Andrea Gori, Barbara Antonelli, Alessandra Bandera
18 April 2023 - P3490
Rapid geographical source attribution of Salmonella enterica serovar Enteritidis genomes using hierarchical machine learning
Sion Bayliss, Rebecca Locke, Claire Jenkins, Marie Chattaway, Timothy Dallman, Lauren Cowley
18 April 2023 - E1174
Prediction of Pseudomonas aeruginosa antibiotic resistance levels using machine learning and protein quantification from blood cultures
Gabriel Carvalho, Romain Carrière, Roxane Prat, Chloé Desbiolles, Pierre L'Aour-Dufour, Tiphaine Cecchini, Jérôme Lemoine, François Vandenesch, Jean-Philippe Rasigade
18 April 2023 - O1285
A machine learning approach to identify latent tuberculosis infection with higher risk to develop active infection from whole blood transcriptomics
Maryam Omrani, Ettore Zapparoli, Arash Ghodousi, Daniela Maria Cirillo
18 April 2023 - E1324
Quantification of antibiotic-induced changes in bacterial counts and morphology using time-lapse microscopy, image analysis, machine learning and pharmacokinetic-pharmacodynamic modelling
Eva Wehrhahn, Chenyan Zhao, Pikkei Wistrand-Yuen, Thomas Tängdén, Pernilla Lagerbäck, Elisabet Nielsen
17 April 2023 - P2760
Developing a COVID-19 mortality prediction model for hospitalised patients using machine learning methods
Seyed Mohammad Jazayeri, Mahnaz Arian, Masood Ziaee, Behrooz Banivaheb, Ahmadreza Sadeghi, Mohammad Mahdi Khosravi Nia, Samaneh Mirzaee, Azam Ghaziasadi, Hossein Alavi, Arash Ziaee, Ali Jafarpour, Sogol Nastarvand, Sara Eftekhari, Parsa Ghafari, Shima Sadeghipour, Asma Delavari, Shirin Famil-Rashtian, Parsa Nobaveh, Motahareh Shafiei, Mohammad Hossein Ataeefar, Mohammad Ali Maleki, Amir Aboofazeli, Yousef Yahyapour, Masoumeh Bayani, Farhang Babamahmoodi, Mohammad Reza Haghsehnas, Farid Yousefi, Azarakhsh Azaran, Shokouh Ghafari, Davod Javanmard, Angila Ataei-Pirkooh, Ahmad Piroozmand, Mohammad Khazeni, Zohreh Akhoundi Meybodi, Mojtaba Didehdar, Azar Hadadi, Mahboubeh Hajiabdolbaghi, Maedeh Najafizadeh, Akram Astani, Siavash Vaziri
17 April 2023 - P2413
Combining semi-targeted metabolomics and machine learning to identify metabolic alterations in serum and urine of hospitalised patients with COVID-19
Simona Iftimie, Gerard Baiges-Gaya, Helena Castañé, Elisabet Rodríguez-Tomàs, Andrea Jiménez-Franco, Ana F. López-Azcona, Jordi Camps, Antoni Castro
17 April 2023 - P2702
Using machine learning to predict antibody response to SARS-CoV-2 vaccination in solid organ transplant recipients: the multicenter ORCHESTRA cohort
Maddalena Giannella, Manuel Huth, Elda Righi, Jan Hasenauer, Angelina Konnova, Akshita Gupta, Zeno Pasquini, Cecilia Bonazzetti, Beatrice Tazza, Natascia Caroccia, Chiara Gamberini, Zaira R. Palacios Baena, Giulia Caponcello, Maria Cristina Morelli, Mariarosa Tamè, Marco Busutti, Giorgia Comai, Luciano Potena, Elena Salvaterra, Giuseppe Feltrin, Gino Gerosa, Lucrezia Furian, Patrizia Burra, Salvatore Piano, Umberto Cillo, Mara Cananzi, Monica Loy, Gianluigi Zaza, Francesco Onorati, Amedeo Carraro, Fiorella Gastaldon, Maurizio Nordio, Samir Kumar-Singh, Jesús Rodríguez Baño, Tiziana Lazzarotto, Pierluigi Viale, Evelina Tacconelli
17 April 2023 - P2471
A machine learning-based model including chronic medication for hospitalisation, intensive care unit admission and in-hospital mortality in patients who test positive for SARS-CoV-2 infection
Adrian Sanchez-Montalva, Miro Berta, Natalia Diaz-Gonzalez, Alex Sanchez-Pla, Marta Miarons
16 April 2023 - O0626
A new machine learning-based approach to classifying patients with invasive fungal disease (IFD)
Mehmet Ergün, Roger J M Brüggemann, Alexandre Alanio, Robbert Bentvelsen, Karin Van Dijk, Katrien Lagrou, Jeroen Schouten, Frank Van De Veerdonk, Joost Wauters, P Lewis White, Paul Verweij
16 April 2023 - P1866
Clostridioides difficile ribotyping by Fourier transform infrared spectroscopy and machine learning
Mario Blázquez-Sánchez, David Rodriguez-Temporal, Ana Candela, María Sánchez-Cueto, Manuel J Arroyo, Mercedes Marín, Adoración Martín, Laura Jiménez-Navarro, Luis Alcalá, Gema Méndez, Patricia Muñoz, Luis Mancera, Belén Rodríguez-Sánchez
16 April 2023 - P1965
Characterising Candida growth phases and drug susceptibilities using ATR-FTIR spectroscopy and machine learning techniques
Savithri Pebotuwa, Xenia Kostoulias, Kamila Kochan, Bayden R. Wood, Anton Y. Peleg
16 April 2023 - P1252
Operationalisation of ‘suspected infection' as part of the Sepsis-3 criteria: an interpretable machine learning model using electronic health records data
Renée Tuinte, Luuk Smolenaers, Bram Knoop, Konstantin Föhse, Mihai Netea, Katrijn Van Deun, Jaap Ten Oever, Jacobien Hoogerwerf
15 April 2023 - O0141
Trustworthy machine learning system prototype for blood culture outcome prediction
Benjamin Ryan Mcfadden, Timothy John Jay Inglis, Mark Reynolds
15 April 2023 - O0140
Machine learning based white blood count estimation for individualised antimicrobial cessation
William Bolton, Bernard Hernandez, Richard Wilson, David Antcliffe, Pantelis Georgiou, Alison Holmes, Timothy Rawson
15 April 2023 - O0210
Bacterial nanomotions, combined with supervised machine learning, accurately classify antibiotic susceptibility
Alexander Sturm, Grzegorz Jozwiak, Marta Pla Verge, Laura Munch, Gino Cathomen, Amanda Luraschi, Eric Delarze, Gilbert Greub, Danuta Cichocka
Loading ...
+ load more
FAQ
To access content in the eLibrary you need to log in with your ESCMID member or user credentials. If you haven’t registered as an ESCMID member yet, then click here to do so – or use this link to register as a user.
The most recent event-related content is usually restricted to ESCMID members, while registered users get access one year after the event. However, there are events such as ECCMID where attendees get priority access, no matter if they are members or registered users. In these cases, we may offer non-attendees access after paying a fee.
You may search by event name, session title or number, topic title or number or author – or by any keyword. To get the most relevant results, enter the title or name in quotation marks, e.g. "Pre-ECCMID Day on Diagnostics" or "John Doe". If no quotation marks are used, then the exact result is shown first, followed by less exact results.
You may further narrow the number of search results for most terms by applying one or several filters, using the filter window on the start page. The Category and Media Type filters work for any content. In contrast, the Date from / to filter may not apply for Publications and Guidelines. In addition, the information text below a webcast or document offers the option of filtering search results by session title, author, event or category.
We defined four "hot topic" terms that you may search for by clicking the four tiles on the start page.
Linking two or more search terms by AND will show all results containing these search terms. For example, if you are looking for results that contain both the terms viral and hospital, then enter viral AND hospital.
Link two or more search terms by OR to get all results that contain at least one of these terms. For example, if you want to get results that contain either viral or infections or COVID, then enter viral OR infections OR COVID.
Place + in front of the term that you want to be included in your search result and place - in front of the term that you do not want to be included – without blanks in between in either case. For example, if you are aiming for search results that contain viral and infection but do not contain COVID, then enter +viral +infections -COVID.
A search term preceded by an exclamation point (no blanks in between) will lead to all content that does not contain the term, e.g. !COVID.
Deselect the ticked boxes in the filter dropdowns, click "Clear" on the calendars in the Date from / to filter – or refresh the website to remove all filters at once. Additionally, you may clear all applied filters by using the relevant buttons right above the search results.
No, as copyright protection limits the viewing of video presentations to web browsers, they cannot be downloaded.
No, due to our privacy policy we cannot disclose any contact details of persons involved.