AIMC Topic: Electrophoresis, Capillary

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Predicting the effectiveness of chemotherapy treatment in lung cancer utilizing artificial intelligence-supported serum N-glycome analysis.

Computers in biology and medicine
An efficient novel approach is introduced to predict the effectiveness of chemotherapy treatment in lung cancer by monitoring the serum N-glycome of patients combined with artificial intelligence-based data analysis. The study involved thirty-three l...

Performance and efficiency of machine learning models in analyzing capillary serum protein electrophoresis.

Clinica chimica acta; international journal of clinical chemistry
BACKGROUND AND OBJECTIVE: Serum protein electrophoresis (SPEP) plays a critical role in diagnosing diseases associated with M-proteins. However, its clinical application is limited by a heavy reliance on experienced experts.

High-throughput Kinetics using capillary Electrophoresis and Robotics (HiKER) platform used to study T7, T3, and Sp6 RNA polymerase misincorporation.

PloS one
T7 RNA Polymerase (RNAP) is a widely used enzyme with recent applications in the production of RNA vaccines. For over 50 years denaturing sequencing gels have been used as key analysis tools for probing the nucleotide addition mechanisms of T7 RNAP a...

Determination of quetiapine and its metabolites in plasma by field-enhanced sample stacking.

Journal of food and drug analysis
Quetiapine is an atypical antipsychotic drug that can be used to treat mental disorders, including schizophrenia, bipolar disorder and Alzheimer's disease. Quetiapine is mainly converted into the active metabolites of norquetiapine and 7-hydroxyqueti...

Forensic STR allele extraction using a machine learning paradigm.

Forensic science international. Genetics
We present a machine learning approach to short tandem repeat (STR) sequence detection and extraction from massively parallel sequencing data called Fragsifier. Using this approach, STRs are detected on each read by first locating the longest repeat ...

Serum N-Glycosylation in Parkinson's Disease: A Novel Approach for Potential Alterations.

Molecules (Basel, Switzerland)
In this study, we present the application of a novel capillary electrophoresis (CE) method in combination with label-free quantitation and support vector machine-based feature selection (support vector machine-estimated recursive feature elimination ...

Trace, Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry: A Case Study from Single-Cell Metabolomics.

Analytical chemistry
Recent developments in high-resolution mass spectrometry (HRMS) technology enabled ultrasensitive detection of proteins, peptides, and metabolites in limited amounts of samples, even single cells. However, extraction of trace-abundance signals from c...

Capillary electrophoresis with preparative isoelectric focusing preconcentration for sensitive determination of amphotericin B in human blood serum.

Analytica chimica acta
Amphotericin B (AmB) is still, despite its severe nephrotoxicity, the first-line agent in the management of serious systemic fungal infections. A sensitive and reliable method is therefore required to control AmB concentration in body fluids of a pat...

A hybrid approach to increase the informedness of CE-based data using locus-specific thresholding and machine learning.

Forensic science international. Genetics
The interpretation of genetic profiles require a robust and reliable method to discriminate true allelic information from noise, regardless of the instrumentation or methods used. Traditionally, static peak detection thresholds (analytical thresholds...

Aptamer facilitated purification of functional proteins.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences
DNA aptamers are attractive capture probes for affinity chromatography since, in contrast to antibodies, they can be chemically synthesized and, in contrast to tag-specific capture probes (such as Nickel-NTA or Glutathione), they can be used for puri...