Publications by authors named "Sam Gross"
Objectives: The UK MitraClip registry was commissioned by National Health Service (NHS) England to assess real-world outcomes from percutaneous mitral valve repair for mitral regurgitation using a new technology, MitraClip. This study aimed to determine longitudinal patient outcomes by linking to routine datasets: Hospital Episode Statistics (HES) Admitted Patient Care (APC) and Office of National Statistics.
Methods: Two methods of linkage were compared, using identifiable (NHS number, date of birth, postcode, gender) and non-identifiable data (hospital trust, age in years, admission, discharge and operation dates, operation and diagnosis codes).
Objectives: To assess the safety of paediatric tonsillectomy procedures conducted in NHS hospitals in England between 2008 and 2019.
Design: Retrospective observational cohort study using Hospital Episode Statistics (HES) data.
Setting: Acute NHS trusts in England conducting paediatric tonsillectomy procedures.
Article Synopsis
- A deep convolutional neural network, named DeepVariant, has been developed to accurately identify genetic variants from complex sequencing data.
- The model learns to recognize patterns in read pileups, significantly outperforming existing tools in variant calling.
- DeepVariant is versatile, effectively working across different genome builds and species, and is applicable to various sequencing technologies, simplifying the variant identification process.