AIMC Topic: Blood Chemical Analysis
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Bridging Spectral Gaps: Cross-Device Model Generalization in Blood-Based Infrared Spectroscopy.
Analytical chemistry
May 7, 2025
This paper presents a solution to the challenge of cross-device model generalization in blood-based infrared spectroscopy. As infrared spectroscopy becomes increasingly popular for analyzing human blood, ensuring that machine learning models trained ...
Machine learning assisted rapid approach for quantitative prediction of biochemical parameters of blood serum with FTIR spectroscopy.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Oct 12, 2024
This study develops regression models for predicting blood biochemical data using Fourier-transform infrared spectroscopy (FTIR) analysis. Absorption at specific wavelengths of blood serum is revealed to have strong correlations with biochemical para...
Developing an interpretation model for body fluid identification.
Forensic science international
Apr 22, 2024
Criminal investigations, particularly sexual assaults, frequently require the identification of body fluid type in addition to body fluid donor to provide context. In most cases this can be achieved by conventional methods, however, in certain scenar...
Classification method based on Siamese-like neural network for inter-species blood Raman spectra similarity measure.
Journal of biophotonics
Mar 21, 2023
Analysis of blood species is an extremely important part in customs inspection, forensic investigation, wildlife protection and other fields. In this study, a classification method based on Siamese-like neural network (SNN) for interspecies blood (22...
A machine-learning parsimonious multivariable predictive model of mortality risk in patients with Covid-19.
Scientific reports
Oct 27, 2021
The COVID-19 pandemic is impressively challenging the healthcare system. Several prognostic models have been validated but few of them are implemented in daily practice. The objective of the study was to validate a machine-learning risk prediction mo...
Using different machine learning models to classify patients into mild and severe cases of COVID-19 based on multivariate blood testing.
Journal of medical virology
Sep 25, 2021
COVID-19 is a serious respiratory disease. The ever-increasing number of cases is causing heavier loads on the health service system. Using 38 blood test indicators on the first day of admission for the 422 patients diagnosed with COVID-19 (from Janu...
Staged reflexive artificial intelligence driven testing algorithms for early diagnosis of pituitary disorders.
Clinical biochemistry
Aug 23, 2021
BACKGROUND: Sellar masses (SM) frequently present with insidious hormonal dysfunction. We previously showed that, by utilizing a combined reflex/reflecting approach involving a laboratory clinician (LC) on common endocrine test results requested by n...
Machine learning based models for prediction of subtype diagnosis of primary aldosteronism using blood test.
Scientific reports
May 4, 2021
Primary aldosteronism (PA) is associated with an increased risk of cardiometabolic diseases, especially in unilateral subtype. Despite its high prevalence, the case detection rate of PA is limited, partly because of no clinical models available in ge...
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests.
Clinical chemistry and laboratory medicine
Oct 21, 2020
OBJECTIVES: The rRT-PCR test, the current gold standard for the detection of coronavirus disease (COVID-19), presents with known shortcomings, such as long turnaround time, potential shortage of reagents, false-negative rates around 15-20%, and expen...
Development of a prognostic model for mortality in COVID-19 infection using machine learning.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Oct 16, 2020
Coronavirus disease 2019 (COVID-19) is a novel disease resulting from infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which has quickly risen since the beginning of 2020 to become a global pandemic. As a result of the rap...
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