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Research by Professor Jeremy Fairbank and colleagues, and published in the European Spine Journal, has found automation can improve how we diagnose back problems.

A novel feature of the model is to identify ‘Evidence Hotspots’ that are the array of elements that most contribute to the degradation scores. © Jeremy Fairbanks

Investigating the tissue response to a novel knee ligament implant

Clinical and cost effectiveness of AI-enabled vertebral fracture identification Fracture Liaison Services (FLS)

Resident memory B cell responses in the lung; immunity against pulmonary pathogens

Vaccine LEGACY – Applying a systems based approach to accelerate vaccine development

Relationship between Tumour microenvironment and atherosclerotic cardiovascular disease during immunotherapy

Harnessing human genomic, transcriptomic and proteomic data to identify novel therapeutic targets

How do secreted phospho-proteins dictate fibroblast-neutrophil crosstalk in treatment resistant inflammatory bowel disease?

New pattern-recognition receptor signalling modalities in inflammation

Microbiome metabolites as immune checkpoints

Granulopoiesis: chromatin topology and associated functions

How does ageing influence intrinsic cartilage repair in osteoarthritis?

Resident memory B cell responses in the lung; immunity against pulmonary pathogens

How inflammatory macrophages instruct innate effector responses in the tumour microenvironment?

Engineering Resolution – mRNA targeting of chronic inflammatory disease

Investigating cross-tissue and cross-disease immune mechanisms using single-cell/spatial multiomics & machine learning/AI-powered language learning tools

Mechanical force matters in T-cell activation

Relationship between Tumour microenvironment and atherosclerotic cardiovascular disease during immunotherapy

Harnessing human genomic, transcriptomic and proteomic data to identify novel therapeutic targets

How do secreted phospho-proteins dictate fibroblast-neutrophil crosstalk in treatment resistant inflammatory bowel disease?

Unraveling the intersection of immune responses in gut and cardiovascular and health

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Full paper

Automation of reading of radiological features from magnetic resonance images (MRIs) of the lumbar spine without human intervention is comparable with an expert radiologist.

Eur Spine J. 2017 Feb 6

 

Funder

The European Union Health Project on Genes and Disc Degeneration
Project: 'Genodisc' - FP7 Health2007A Grant Agreement No. 201626

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