An automated workflow based on data independent acquisition for practical and high-throughput personalized assay development and minimal residual disease monitoring in multiple myeloma patients.

Charissa WijnandsGad ArmonySomayya NooriJolein GloerichVincent BonifayHélène CaillonTheo M LuiderSven BrehmerLennard PfennigTharan SrikumarDennis TredeGary KruppaThomas DejoieMartijn M vanDuijnAlain J van GoolJoannes F M JacobsHans J C T Wessels

Published in: Clinical chemistry and laboratory medicine (2024)

Dia-PASEF technology combined with automated data processing and multiplexed target selection facilitated the development of a faster MS-MRD workflow which benefits upscaling and is an important step towards the clinical implementation of MS-MRD.

Keyphrases

high throughput
electronic health record
mass spectrometry
multiple sclerosis
multiple myeloma
single cell
end stage renal disease
ms ms
newly diagnosed
healthcare
big data
primary care
machine learning
prognostic factors
deep learning
patient reported outcomes
artificial intelligence
patient reported