AIMC Topic: Automation

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A CNN-LASSO ensemble classification model for incomplete antibody reactants screening in coombs test.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Precise classification of incomplete antibody reactants (IAR) in the Coombs test is the primary means to prevent incompatible blood transfusions. Currently, an automatic and contactless method is required for accurate IAR classification t...

Automation for Life Science Laboratories.

Advances in biochemical engineering/biotechnology
The automation of processes in all areas of the life sciences will continue to increase in the coming years due to an ever increasing number of samples to be processed, an increasing need to protect laboratory personnel from infectious material and i...

Trust in AI: why we should be designing for APPROPRIATE reliance.

Journal of the American Medical Informatics Association : JAMIA
Use of artificial intelligence in healthcare, such as machine learning-based predictive algorithms, holds promise for advancing outcomes, but few systems are used in routine clinical practice. Trust has been cited as an important challenge to meaning...

Assessment of Automating Safety Surveillance From Electronic Health Records: Analysis for the Quality and Safety Review System.

Journal of patient safety
BACKGROUND AND OBJECTIVES: In an effort to improve and standardize the collection of adverse event data, the Agency for Healthcare Research and Quality is developing and testing a patient safety surveillance system called the Quality and Safety Revie...

Thousands of induced germline mutations affecting immune cells identified by automated meiotic mapping coupled with machine learning.

Proceedings of the National Academy of Sciences of the United States of America
Forward genetic studies use meiotic mapping to adduce evidence that a particular mutation, normally induced by a germline mutagen, is causative of a particular phenotype. Particularly in small pedigrees, cosegregation of multiple mutations, occasiona...

Machine learning in health care and laboratory medicine: General overview of supervised learning and Auto-ML.

International journal of laboratory hematology
Artificial Intelligence (AI) and machine learning (ML) have now spawned a new field within health care and health science research. These new predictive analytics tools are starting to change various facets of our clinical care domains including the ...

An ultrafast and flexible liquid chromatography/tandem mass spectrometry system paves the way for machine learning driven in vivo sample processing in early drug discovery.

Rapid communications in mass spectrometry : RCM
RATIONALE: The low speed and low flexibility of most liquid chromatography/tandem mass spectrometry (LC/MS/MS) approaches in early drug discovery delay sample analysis from routine in vivo studies within the same day. A high-throughput platform for t...