Proceedings of the Association for Pathology Informatics Bootcamp 2022.

The Pathology Informatics Bootcamp, held annually at the Pathology Informatics Summit, provides pathology trainees with essential knowledge in the rapidly evolving field of Pathology Informatics. With a focus on data analytics, data science, and data management in 2022, the bootcamp addressed the growing importance of data analysis in pathology and laboratory medicine practice. The expansion of data-related subjects in Pathology Informatics Essentials for Residents (PIER) and the Clinical Informatics fellowship examinations highlights the increasing significance of these skills in pathology practice in particular and medicine in general.

Machine Learning in Laboratory Medicine: Recommendations of the IFCC Working Group.

Background: Machine learning (ML) has been applied to an increasing number of predictive problems in laboratory medicine, and published work to date suggests that it has tremendous potential for clinical applications. However, a number of groups have noted the potential pitfalls associated with this work, particularly if certain details of the development and validation pipelines are not carefully controlled.

Methods: To address these pitfalls and other specific challenges when applying machine learning in a laboratory medicine setting, a working group of the International Federation for Clinical Chemistry and Laboratory Medicine was convened to provide a guidance document for this domain.

Quantification of Branched-Chain Amino Acids in Plasma by High-Performance Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS).

Branched-chain amino acids (BCAA), including valine, alloisoleucine, isoleucine, and leucine, play significant roles in a number of metabolic pathways in the body. Deficiency in branched-chain ketoacid dehydrogenase complex, an enzyme required for metabolism of those amino acids, will lead to elevation and accumulation of BCAA and ketoacids in bodily fluids. This results in maple syrup urine disease (MSUD), a condition estimated to affect 1 in 100,000-300,000 births.

System Performance Monitoring in Clinical Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS).

Quality assurance (QA) activities enable continuous improvement through ongoing post-implementation monitoring to identify, evaluate, and correct problems. QA for clinical liquid chromatography tandem mass spectrometry (LC-MS/MS) assays should include specific components that address the unique aspects of these methods. This chapter briefly describes approaches for clinical LC-MS/MS system performance monitoring using batch and peak review metrics, largely following CLSI-C62A guidance.