Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Search results (20)

« Back to Publications

Interplay between C-reactive protein responses and antibiotic prescribing in people with suspected infection

Gu Q. et al, (2025), BMC Infectious Diseases

Community-acquired pneumonia identification from electronic health records in the absence of a gold standard: A Bayesian latent class analysis.

Wei J. et al, (2025), PLOS digital health, 4

Transformers and large language models are efficient feature extractors for electronic health record studies.

Yuan K. et al, (2025), Communications medicine, 5

Machine learning and clinician predictions of antibiotic resistance in Enterobacterales bloodstream infections.

Yuan K. et al, (2025), The Journal of infection, 90

Community-acquired pneumonia identification from electronic health records in the absence of a gold standard: a Bayesian latent class analysis

Wei J. et al, (2025)

Interplay between C-reactive protein responses and antibiotic prescribing in suspected bloodstream infections

Gu Q. et al, (2024)

Predicting individual patient and hospital-level discharge using machine learning.

Wei J. et al, (2024), Communications medicine, 4

Distinct patterns of vital sign and inflammatory marker responses in adults with suspected bloodstream infection.

Gu Q. et al, (2024), The Journal of infection, 88

Changes in the investigation and management of suspected myocardial infarction and injury during COVID-19: a multi-centre study using routinely collected healthcare data.

Chammas L. et al, (2024), Frontiers in cardiovascular medicine, 11

Leveraging transformers and large language models with antimicrobial prescribing data to predict sources of infection for electronic health record studies

Yuan K. et al, (2024)

Machine learning to predict antibiotic susceptibility in Enterobacterales bloodstream infections compared to clinician prescribing

Yuan K. et al, (2024)

Transformers and large language models are efficient feature extractors for electronic health record studies

Yuan K. et al, (2024)

Defining normal inflammatory marker and vital sign responses to suspected bloodstream infection in adults with positive and negative blood cultures

Gu Q. et al, (2023)

Improving patient flow through hospitals with machine learning based discharge prediction

Wei J. et al, (2023)

TF-Prioritizer: a Java pipeline to prioritize condition-specific transcription factors

Hoffmann M. et al, (2023), TF-Prioritizer: a Java pipeline to prioritize condition-specific transcription factors

TF-Prioritizer: a Java pipeline to prioritize condition-specific transcription factors.

Hoffmann M. et al, (2022), GigaScience, 12

TF-Prioritizer: a java pipeline to prioritize condition-specific transcription factors

Hoffmann M. et al, (2022)

BiCoN: network-constrained biclustering of patients and omics data.

Lazareva O. et al, (2021), Bioinformatics (Oxford, England), 37, 2398 - 2404

DIGGER: exploring the functional role of alternative splicing in protein interactions.

Louadi Z. et al, (2021), Nucleic acids research, 49, D309 - D318

Exploring the SARS-CoV-2 virus-host-drug interactome for drug repurposing.

Sadegh S. et al, (2020), Nature communications, 11