[Stochastic models and the optimization of the basic characteristics of biodiagnostic systems]

Streaking camera in the high intensity regime.

Optics letters·2024

[Microbial degradation of glyphosate herbicides (review)].

Prikladnaia biokhimiia i mikrobiologiia·2015

New approaches to identification and activity estimation of glyphosate degradation enzymes.

Biochemistry. Biokhimiia·2011

[Pathogenesis of gallbladder cholesterolemia].

Klinicheskaia meditsina·2002

[Immunomorphologic detection of apoprotein B antigenic determinants in the gallbladder wall in cholesterosis and cholelithiasis].

Khirurgiia·2002

[High-density lipoproteins in cholesterosis of the gall bladder].

Klinicheskaia meditsina·2000

[Parasitic mites and ticks and allergy].

Nauchnye doklady vysshei shkoly. Biologicheskie nauki·1993

[The systems modelling of the processes of body adaptation to environmental changes under normal conditions and in pathology].

Nauchnye doklady vysshei shkoly. Biologicheskie nauki·1993

[The autodeoxygenation of hemoglobin].

Nauchnye doklady vysshei shkoly. Biologicheskie nauki·1993

[4-Androstene-3,17-dione metabolism in vitro in the liver microsomes of species of bullhead endemic to Lake Baikal under normal conditions and in mono-oxygenase induction by 3-methylcholanthrene and aroclor 1254].

Nauchnye doklady vysshei shkoly. Biologicheskie nauki·1993

[The effects of a cardioactive hypothalamic neurohormone on the isolated rat heart].

Nauchnye doklady vysshei shkoly. Biologicheskie nauki·1993

[Methods of early detection of diabetes mellitus in children].

Nauchnye doklady vysshei shkoly. Biologicheskie nauki·1993

Integrated Virtual Screening and Molecular Electrostatic Surface Potential Descriptors for Predicting BACE1 Inhibitor Interactions in Alzheimer's Disease.

ACS omega·2026

A comparative performance analysis of ensemble learning and regularized neural networks in cardiovascular risk prediction.

Frontiers in medical technology·2026

Automated Tissue Classification and Candidate Biomarker Feature Extraction in Mass Spectrometry Imaging Based on Interpretable Deep Learning Algorithm.

Rapid communications in mass spectrometry : RCM·2026

Interpretable distillation reveals that deep learning splicing models suffer from pervasive confounders and blind spots.

Genome biology·2026

A deep learning approach for predicting antimicrobial resistance in urinary tract infections.

BMC urology·2026

Web-based multi-variable computational models predicting early spontaneous resolution in children with vesicoureteral reflux.

Journal of pediatric urology·2026

Related Experiment Videos

[Stochastic models and the optimization of the basic characteristics of biodiagnostic systems]

Related Concept Videos

Streaking camera in the high intensity regime.

[Microbial degradation of glyphosate herbicides (review)].

New approaches to identification and activity estimation of glyphosate degradation enzymes.

[Pathogenesis of gallbladder cholesterolemia].

[Immunomorphologic detection of apoprotein B antigenic determinants in the gallbladder wall in cholesterosis and cholelithiasis].

[High-density lipoproteins in cholesterosis of the gall bladder].

[Parasitic mites and ticks and allergy].

[The systems modelling of the processes of body adaptation to environmental changes under normal conditions and in pathology].

[The autodeoxygenation of hemoglobin].

[4-Androstene-3,17-dione metabolism in vitro in the liver microsomes of species of bullhead endemic to Lake Baikal under normal conditions and in mono-oxygenase induction by 3-methylcholanthrene and aroclor 1254].

[The effects of a cardioactive hypothalamic neurohormone on the isolated rat heart].

[Methods of early detection of diabetes mellitus in children].

Integrated Virtual Screening and Molecular Electrostatic Surface Potential Descriptors for Predicting BACE1 Inhibitor Interactions in Alzheimer's Disease.

A comparative performance analysis of ensemble learning and regularized neural networks in cardiovascular risk prediction.

Automated Tissue Classification and Candidate Biomarker Feature Extraction in Mass Spectrometry Imaging Based on Interpretable Deep Learning Algorithm.

Interpretable distillation reveals that deep learning splicing models suffer from pervasive confounders and blind spots.

A deep learning approach for predicting antimicrobial resistance in urinary tract infections.

Web-based multi-variable computational models predicting early spontaneous resolution in children with vesicoureteral reflux.

Related Experiment Videos

[Stochastic models and the optimization of the basic characteristics of biodiagnostic systems]

Related Concept Videos

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