AIMC Topic: Laboratories
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Automated Mapping of Real-world Oncology Laboratory Data to LOINC.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 21, 2022
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)
Feb 14, 2022
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
Dec 7, 2021
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
Oct 28, 2021
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
Oct 13, 2021
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
Jul 23, 2021
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...
Applications of machine learning in the chemical pathology laboratory.
Journal of clinical pathology
Jun 11, 2021
Machine learning (ML) is an area of artificial intelligence that provides computer programmes with the capacity to autodidact and learn new skills from experience, without continued human programming. ML algorithms can analyse large data sets quickly...
Is Machine Learning-derived Low-Density Lipoprotein Cholesterol estimation more reliable than standard closed form equations? Insights from a laboratory database by comparison with a direct homogeneous assay.
Clinica chimica acta; international journal of clinical chemistry
May 13, 2021
BACKGROUND: There is no consensus on the best method to estimate Low Density Lipoprotein-Cholesterol (LDL-C) in routine laboratories.
Robotic integration enables autonomous operation of laboratory scale stirred tank bioreactors with model-driven process analysis.
Biotechnology and bioengineering
May 3, 2021
Given its geometric similarity to large-scale production plants and the excellent possibilities for precise process control and monitoring, the classic stirred tank bioreactor (STR) still represents the gold standard for bioprocess development at a l...
From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning.
Sensors (Basel, Switzerland)
Apr 28, 2021
The applicability of sensor-based human activity recognition in sports has been repeatedly shown for laboratory settings. However, the transferability to real-world scenarios cannot be granted due to limitations on data and evaluation methods. On the...
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