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 (38)

« Back to Publications

CleanCTG: A deep learning model for multi-artefact detection and reconstruction in Cardiotocography

Wong S. et al, (2026), Biomedical Signal Processing and Control, 123, 110654 - 110654

Managing maternity: Moving care, not patients, using artificial intelligence (AI), internet-of-things (IOT) and point-of-care testing (POCT) devices.

Foo L. et al, (2026), Int J Gynaecol Obstet, 173, 602 - 613

A call for ethical, equitable, and effective artificial intelligence to improve care for all people with epilepsy: A roadmap. A report by the ILAE Global Advocacy Council and Big Data Commission.

Josephson CB. et al, (2026), Epilepsia, 67, 1555 - 1572

Cohort Profile for the Heat in Pregnancy- India (HiP-India) Study

Thiruvengadam R. et al, (2025), Wellcome Open Research, 10, 472 - 472

Reply.

Davis Jones G. et al, (2025), Ultrasound Obstet Gynecol, 66, 674 - 676

Predicting Preeclampsia in Gestational Diabetes Mellitus Using the sFlt-1/PlGF Ratio.

Noonan SB. et al, (2025), J Clin Endocrinol Metab, 110, e3343 - e3352

In Which Areas of Technical AI Safety Could Geopolitical Rivals Cooperate?

Bucknall B. et al, (2025), Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 3148 - 3161

A method to isolate syncytiotrophoblast-derived medium-large extracellular vesicle small RNA from maternal plasma.

Cooke WR. et al, (2025), Placenta, 166, 91 - 95

Evaluating the generalisability of region-naïve machine learning algorithms for the identification of epilepsy in low-resource settings.

Duta I. et al, (2025), PLOS Digit Health, 4

Performance evaluation of computerized antepartum fetal heart rate monitoring: Dawes-Redman algorithm at term.

Davis Jones G. et al, (2025), Ultrasound Obstet Gynecol, 65, 191 - 197

AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion

Li C. et al, (2025), THIRTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, AAAI-25, VOL 39 NO 13, 14274 - 14282

Safety, tolerability, and efficacy outcomes of the Investigation of Levetiracetam in Alzheimer's disease (ILiAD) study: a pilot, double-blind placebo-controlled crossover trial.

Sen A. et al, (2024), Epilepsia Open, 9, 2353 - 2364

The Relationship of Antepartum Fetal Heart Rate Patterns to Adverse Pregnancy Outcomes

Cooke W. et al, (2024)

Small RNAs in the pathogenesis of preeclampsia.

Cooke WR. et al, (2024), Placenta, 157, 21 - 27

hsa-miR-9-5p highly expressed in syncytiotrophoblast-derived extracellular vesicles from early-onset preeclampsia impairs cerebral microvascular endothelial cell pro-angiogenic capacity

Logenthiran P. et al, (2024)

Load More