Theoretical relationship between time since symptom onset and titers in one infected (red) and three uninfected (blue) individuals.

Theoretical relationship between time since symptom onset and titers in one infected (red) and three uninfected (blue) individuals.

<p>These titers are mapped onto a two-dimensional representation of acute and convalescent titers. Ellipsoids represent the expected distribution of acute and convalescent titers for infected and uninfected individuals while the underlying marginal distribution of these acute titers is present...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Marco Hamins-Puértolas (15238661) (author)
مؤلفون آخرون:	Darunee Buddhari (625855) (author), Henrik Salje (589157) (author), Angkana T. Huang (12262139) (author), Taweewun Hunsawong (798675) (author), Derek A.T. Cummings (14971341) (author), Stefan Fernandez (146590) (author), Aaron Farmer (4288318) (author), Surachai Kaewhiran (22683535) (author), Direk Khampaen (22683538) (author), Anon Srikiatkhachorn (110184) (author), Sopon Iamsirithaworn (260152) (author), Adam Waickman (118668) (author), Stephen J. Thomas (7105673) (author), Timothy Endy (150971) (author), Alan L. Rothman (6835178) (author), Kathryn B. Anderson (6835166) (author), Isabel Rodriguez-Barraquer (233670) (author)
منشور في:	2025
الموضوعات:	Medicine Biotechnology Ecology Immunology Cancer Science Policy Infectious Diseases Virology Computational Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified since many cases linked immunosorbent assay independently utilize information hemagglutination inhibition assay globe &# 8217 currently implemented cut convalescent serum collected 87 &# 8211 82 &# 8211 real world data multiple serological assays infer infection events generate finalized interpretations bayesian mixture model prior standard interpretations pcr confirmed infections jointly model data gold standard ). f1 scores ). hai data consistently direct detection methods gold standard f1 scores infection detection eia ). including data individual assays new model igm data whether individuals transmission potential results provide recently experienced provide insight probabilistic framework population living point approaches pathogen systems kamphaeng phet interpreting results incorporating igg important role higher accuracy first test diagnostic process creating uncertainty combined metric already half 677 pairs
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مواد مشابهة

(A) Estimated intercept for titer boost when acute titers are initially low for each assay.
حسب: Marco Hamins-Puértolas (15238661)
منشور في: (2025)

Comparison between simulation based estimates for boosts in GM HAI, IgG, and IgM that is experienced after an infection event as a function of acute GM HAI, IgG, and IgM titers individuals under the varying levels of observational noise.
حسب: Marco Hamins-Puértolas (15238661)
منشور في: (2025)

Acute and convalescent data for serological assays, colored by probability of infection found during model testing for Model 9. a) Geometric mean titers of a haemagglutination inhibition assay (GM HAI) for all four serotypes of dengue virus. b) Immunoglobulin G (IgG) c) Immunoglobulin M (IgM) d) Ratio of IgM to IgG at both acute and convalescent sera samples.
حسب: Marco Hamins-Puértolas (15238661)
منشور في: (2025)

Acute and convalescent samples from cohort study data for serological assays, colored by the number of serological assays (RT-PCR, HAI, and EIA) that interpret the individual as having an infection. a) Geometric mean titers of a haemagglutination inhibition assay (GM HAI) for all four serotypes of dengue virus. b) Immunoglobulin G (IgG) c) Immunoglobulin M (IgM) d) Ratio of IgM to IgG at both acute and convalescent serum samples.
حسب: Marco Hamins-Puértolas (15238661)
منشور في: (2025)

Comparison of each accuracy metric (sensitivity, specificity, F1, and area under the curve for reporter operator curve (AUC ROC)) on each model. Models are defined by which assays were incorporated (i.e., HAI, IgG, and/or IgM). Bolded values represent the best performing model for the infection definition and metric of interest.
حسب: Marco Hamins-Puértolas (15238661)
منشور في: (2025)

Characteristics for Kamphaeng Phet cohort studies split by source (KPS1 and KFCS) as well as across the entire dataset. Information on age, hospitalization as well as serological assay results for RT-PCR, haemagglutination inhibition assay (HAI), and enzyme immunoassay (EIA) are presented.
حسب: Marco Hamins-Puértolas (15238661)
منشور في: (2025)

Acute and convalescent serological data from Thai cohorts used in this analyses, colored by true infections status and prediction of infection during model testing.
حسب: Marco Hamins-Puértolas (15238661)
منشور في: (2025)

Simulated serological data using serosim and subsequent results using the full mixture model on (a) HAI, (b) IgG and (c) IgM data with additional observational noise.
حسب: Marco Hamins-Puértolas (15238661)
منشور في: (2025)

Comparison of accuracy metrics (sensitivity, specificity, and AUC ROC) of each model defined by what subset of data was used for training and testing.
حسب: Marco Hamins-Puértolas (15238661)
منشور في: (2025)

Acute and convalescent samples from cohort study data for serological assays, colored by whether they are predicted as infections using Model 9.
حسب: Marco Hamins-Puértolas (15238661)
منشور في: (2025)

Relationship between estimated probability of a dengue virus infection (DENV) found during model testing for Model 9 (incorporating paired IgG, IgM, GM HAI, and acute GM HAI serological data) and the number of serological assays (RT-PCR, HAI, and EIA) that interpret the individual as having an infection.
حسب: Marco Hamins-Puértolas (15238661)
منشور في: (2025)

Distribution of paired serological data that fall into probability buckets when using Model 9 (incorporating paired IgG, IgM, GM HAI, and acute GM HAI serological data) and the number of serological assays (RT-PCR, HAI, and EIA) that interpret the individual as having an infection.
حسب: Marco Hamins-Puértolas (15238661)
منشور في: (2025)

Model comparisons for simulated data with differing amounts of observational noise.
حسب: Marco Hamins-Puértolas (15238661)
منشور في: (2025)

Parameters found in Bayesian estimation framework, definition, and prior distribution.
حسب: Marco Hamins-Puértolas (15238661)
منشور في: (2025)

Relative observational noise by assay and dataset.
حسب: Marco Hamins-Puértolas (15238661)
منشور في: (2025)

Parameters for forward simulation using serosim [38].
حسب: Marco Hamins-Puértolas (15238661)
منشور في: (2025)

Acute and convalescent data for serological assays, colored by probability of.
حسب: Marco Hamins-Puértolas (15238661)
منشور في: (2025)

A Four-Gene Signature from Blood to Exclude Bacterial Etiology of Lower Respiratory Tract Infection in Adults
حسب: Edward E. Walsh (20760337)
منشور في: (2025)

الترتيبات القانونية الخاصة بالنظام النقدي الدولي ومدى استجابتها لمصالح المجتمع الدولي
حسب: Mahafzah , Emran
منشور في: (2021)

Data Sheet 1_Whole genome sequencing as a reliable alternative for Salmonella serotyping: a comparative study with the gold-standard method.pdf
حسب: Irene Mileto (20877575)
منشور في: (2025)

Top-performing model configuration and performance by algorithm type.
حسب: Uğur Ejder (22683228)
منشور في: (2025)

Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%).
حسب: Uğur Ejder (22683228)
منشور في: (2025)

The list of parameters of the modified data set for machine learning (<i>n</i> = 162).
حسب: Uğur Ejder (22683228)
منشور في: (2025)

The statistical description of the original data set of the patients (<i>n</i> = 162).
حسب: Uğur Ejder (22683228)
منشور في: (2025)

Confusion matrix of the ABC–LR–RF hybrid model for IVF outcome prediction.
حسب: Uğur Ejder (22683228)
منشور في: (2025)

ROC and PR–AUC curves of the ABC–LR–RF hybrid model for IVF outcome prediction.
حسب: Uğur Ejder (22683228)
منشور في: (2025)

The most effective active substances for subfertility treatment.
حسب: Uğur Ejder (22683228)
منشور في: (2025)

The comparison of the accuracy score of the benchmark and the proposed models.
حسب: Uğur Ejder (22683228)
منشور في: (2025)

The prediction accuracy of simple versus hybrid models.
حسب: Uğur Ejder (22683228)
منشور في: (2025)

The accuracy score change matrix following model development.
حسب: Uğur Ejder (22683228)
منشور في: (2025)

Calibration curve of the ABC–LR–RF hybrid model for IVF outcome prediction.
حسب: Uğur Ejder (22683228)
منشور في: (2025)

Flow diagram of the proposed model.
حسب: Uğur Ejder (22683228)
منشور في: (2025)

Flow diagram of the conversion of drugs into active substances.
حسب: Uğur Ejder (22683228)
منشور في: (2025)

Proportion of genomes by year from the five critical-level priority pathogens carrying one or more AMR mechanisms for relevant antimicrobial classes, as displayed in the “AMR mechanism proportion over time” panel within amr.watch.
حسب: Sophia David (4172902)
منشور في: (2025)

<i>K. pneumoniae</i> genomes represented in amr.watch as of 31 March 2025, filtered by the presence of the carbapenem resistance gene, <i>bla</i><sub>NDM-5</sub>.
حسب: Sophia David (4172902)
منشور في: (2025)

<i>K. pneumoniae</i> genomes represented in amr.watch as of 31 March 2025 from the USA (A) and China (B) filtered by the most frequent ST from each country (ST258 and ST11, respectively).
حسب: Sophia David (4172902)
منشور في: (2025)

Distribution of pathogen genomes represented in amr.watch as of 31 March 2025.
حسب: Sophia David (4172902)
منشور في: (2025)

The interactive amr.watch application here shows an overview from 179,518 <i>E. coli</i> genomes available as of 31 March 2025.
حسب: Sophia David (4172902)
منشور في: (2025)

Overview of the Illumina paired-end entries available in the International Nucleotide Sequence Database Collaboration (INSDC) databases as of 31 March 2025.
حسب: Sophia David (4172902)
منشور في: (2025)

Curated list of AMR mechanisms by pathogen from AMRFinderPlus that are reported in amr.watch.
حسب: Sophia David (4172902)
منشور في: (2025)

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