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Researchers from the University of Oxford are using artificial intelligence to improve diagnostic accuracy for heart disease. The team hope to roll out the system across the NHS later this year, helping to improve patient outcomes and saving millions is misdiagnoses. The research, led by Prof Paul Leeson and RDM DPhil student Ross Upton (Cardiovascular Clinical Research Facility), took place in the Oxford University Hospitals Foundation Trust and is the basis of spin-out company Ultromics.
Manhattan++
GWAS, Manhattan plot, meta-analysis, R, software
IDRM Microscopy Oxford-ZEISS Centre of Excellence in Biomedical Imaging
Fluorescent microscopy, slide scanner, high resolution, confocal, light sheet
Flow Cytometry Facility at CHG
Multi-channel FACS, Immune phenotyping, Cardiac cell Sorting, Flowjo analysis, FACS panel design
Biobank Accelerometer Analysis Tool
Physical activity, sleep, step counts, fitness trackers, machine learning
CalTrack
Calcium signalling Calcium quantification Live/fluorescent microscopy MatLab
QuantStudio™ 7 Flex Real-Time PCR System
Genotyping & Genomic Profiling, Real Time PCR, Real Time PCR-Based Gene Expression Profiling
Organ bath
Organ bath Vasomotor Powerlab
UK Biobank (UKB) Research Analysis Platform (RAP)
UK Biobank Research Analysis Platform Multi-omics Cloud computing Big Data
High Resolution Episcopic Microscope
High resolution episcopic microscopy 3D imaging
Fast Protein Liquid Chromatography
Protein purification Size exclusion, ion exchange HisTag chromatography Automatic 12mm tube fractionation 3 buffer channels Direct sample loading
Oroboros O2k FluoRespirometer
Mitochondria Respiration Oxygen consumption Electron transport chain Oxygen electrode