AIMC Topic: Laboratories

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Establishment of low-cost laboratory automation processes using AutoIt and 4-axis robots.

SLAS technology
In most small laboratories, many processes are not yet automated because existing laboratory automation solutions are usually expensive and inflexible to use. Examples of this are autosamplers that are only compatible with one specific laboratory ins...

[Automation and application of robotics in the pathology laboratory].

Der Pathologe
Over the last 20 years, numerous technical innovations have been introduced to the histopathology laboratory, providing tools for improved standardization and occupational safety. Digital tracking serves as a backbone accompanying the workflow from l...

Reflex and reflective laboratory interventions for adding value to test results; an integral part of laboratory stewardship.

Clinical biochemistry
Post-analytical reflexive (automated) and/or reflective (patient tailored and thought driven) interventions (PARRI), have played a subsidiary role in many diagnostic laboratories, despite mounting evidence of their clinical value. The ever-pervasive ...

Applications of machine learning in routine laboratory medicine: Current state and future directions.

Clinical biochemistry
Machine learning is able to leverage large amounts of data to infer complex patterns that are otherwise beyond the capabilities of rule-based systems and human experts. Its application to laboratory medicine is particularly exciting, as laboratory te...

Automated Mapping of Real-world Oncology Laboratory Data to LOINC.

AMIA ... Annual Symposium proceedings. AMIA Symposium
In this study we seek to determine the efficacy of using automated mapping methods to reduce the manual mapping burden of laboratory data to LOINC(r) on a nationwide electronic health record derived oncology specific dataset. We developed novel encod...

Footprint Reduction of Sensor Control Modules for Remote Portable Laboratories.

Sensors (Basel, Switzerland)
Following the automation of monitoring systems for pollution levels in cities or protected nature reserves, there comes a need to increase the autonomy of robotic vectors deployed in the field. Thus, it is important to consider the weight that these ...

Towards robotic laboratory automation Plug & Play: The "LAPP" framework.

SLAS technology
Increasing the level of automation in pharmaceutical laboratories and production facilities plays a crucial role in delivering medicine to patients. However, the particular requirements of this field make it challenging to adapt cutting-edge technolo...

Shotgun Proteomics Sample Processing Automated by an Open-Source Lab Robot.

Journal of visualized experiments : JoVE
Mass spectrometry-based shotgun proteomics experiments require multiple sample preparation steps, including enzymatic protein digestion and clean-up, which can take up significant person-hours of bench labor and present a source of batch-to-batch var...

Using a multi-head, convolutional neural network with data augmentation to improve electropherogram classification performance.

Forensic science international. Genetics
DNA profiles are generated in forensic biology laboratories around the world. It is possible that these profiles are assessed by two independent people in order for the profiles to be 'read'. Recent work has been carried out to develop a neural netwo...

Disruptive innovations in the clinical laboratory: catching the wave of precision diagnostics.

Critical reviews in clinical laboratory sciences
Disruptive innovation is an invention that disrupts an existing market and creates a new one by providing a different set of values, which ultimately overtakes the existing market. Typically, when disruptive innovations are introduced, their performa...