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Search results (69)

« Back to Publications

Biologically Inspired Digital Histology for Deep Phenotyping of Placental Composition Changes Across Major Lesion Types.

Walker EC. et al, (2025)

BCL11B-related disease: a single phenotypic entity?

Vedovato-Dos-Santos JH. et al, (2025), Eur J Hum Genet, 33, 451 - 460

Ribosome phenotypes for rapid classification of antibiotic-susceptible and resistant strains of Escherichia coli.

Farrar A. et al, (2025), Commun Biol, 8

Rapid identification of bacterial isolates using microfluidic adaptive channels and multiplexed fluorescence microscopy.

Chatzimichail S. et al, (2024), Lab Chip, 24, 4843 - 4858

GestaltMatcher Database - A global reference for facial phenotypic variability in rare human diseases.

Lesmann H. et al, (2024), medRxiv

Infection Inspection: using the power of citizen science for image-based prediction of antibiotic resistance in Escherichia coli treated with ciprofloxacin.

Farrar A. et al, (2024), Sci Rep, 14

Genome-wide analysis identifies 66 variants underlying anatomical variation in human neuroendocrine structures and reveals links to testosterone

Currant H. et al, (2024)

Enhancing Cross-Institute Generalisation of GNNs in Histopathology Through Multiple Embedding Graph Augmentation (MEGA)

Campbell J. et al, (2024)

GestaltMatcher Database - A global reference for facial phenotypic variability in rare human diseases.

Lesmann H. et al, (2024)

Mapping cell-to-tissue graphs across human placenta histology whole slide images using deep learning with HAPPY.

Vanea C. et al, (2024), Nat Commun, 15

Deep Facial Phenotyping with Mixup Augmentation

Campbell J. et al, (2024), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14122 LNCS, 133 - 144

Deep learning and single-cell phenotyping for rapid antimicrobial susceptibility detection in Escherichia coli.

Zagajewski A. et al, (2023), Commun Biol, 6

Democratising or disrupting diagnosis? Ethical issues raised by the use of AI tools for rare disease diagnosis.

Hallowell N. et al, (2023), SSM Qual Res Health, 3

Endogenous Retroviruses and Human Neuropsychiatric Disorders

Yolken RH. et al, (2023), 65 - 85

Democratising or disrupting diagnosis? Ethical issues raised by the use of AI tools for rare disease diagnosis

HALLOWELL N. et al, (2023), Social Science & Medicine Qualitative Research in Health

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