Publications

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), Communications biology, 6

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

Hallowell N. et al, (2023), SSM. Qualitative research in health, 3

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

The genetic architecture of changes in adiposity during adulthood

Venkatesh S. et al, (2023)

Genetic architecture of longitudinal obesity trajectories in primary care electronic health records

Venkatesh S. et al, (2023), EUROPEAN JOURNAL OF HUMAN GENETICS, 31, 39 - 39

"I don't think people are ready to trust these algorithms at face value": trust and the use of machine learning algorithms in the diagnosis of rare disease.

Hallowell N. et al, (2022), BMC medical ethics, 23

Transcriptome and fatty-acid signatures of adipocyte hypertrophy and its non-invasive MR-based characterization in human adipose tissue.

Honecker J. et al, (2022), EBioMedicine, 79

CHEDDA syndrome is an underrecognized neurodevelopmental disorder with a highly restricted ATN1 mutation spectrum.

Palmer EE. et al, (2021), Clinical genetics, 100, 468 - 477

A DNA repair disorder caused by de novo monoallelic DDB1 variants is associated with a neurodevelopmental syndrome.

White SM. et al, (2021), American journal of human genetics, 108, 749 - 756

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