The optimization and biological significance of a 29-host-immune-mRNA panel for the diagnosis of acute infections and sepsis
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The optimization and biological significance of a 29-host-immune-mRNA panel for the diagnosis of acute infections and sepsis

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The optimization and biological significance of a 29-host-immune-mRNA panel for the diagnosis of acute infections and sepsis

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2021-07-28T14:02:28-07:00

Yudong, D. et al. J. Pers. Med. June 2021.

A novel method for classification of tabular data using convolutional neural networks
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A novel method for classification of tabular data using convolutional neural networks

A novel method for classification of tabular data using convolutional neural networks

2021-03-11T18:42:33-07:00

Buturovic, L. and Miljkovic, D. BioRxiv. Jan 2021.

Evaluation of Bayesian optimization to select predictive models of acute infection and in-hospital mortality
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Evaluation of Bayesian optimization to select predictive models of acute infection and in-hospital mortality

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Evaluation of Bayesian optimization to select predictive models of acute infection and in-hospital mortality

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2021-07-09T11:00:49-07:00

Mayhew, M. et al. Pac Symp Biocomput. Jan 2021.

A 6-mRNA host response using patients with non-COVID-19 infections accurately predicts severity of COVID-19
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A 6-mRNA host response using patients with non-COVID-19 infections accurately predicts severity of COVID-19

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A 6-mRNA host response using patients with non-COVID-19 infections accurately predicts severity of COVID-19

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Buturovic, L. et. al. medRxiv, Dec. 2020.

A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections
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A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections

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A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections

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2021-07-09T11:11:28-07:00

Mayhew M, et al. Nature Communications. Mar 2020.

A machine learning method for subgroup analysis of randomized controlled trials
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A machine learning method for subgroup analysis of randomized controlled trials

A machine learning method for subgroup analysis of randomized controlled trials

2021-07-09T11:13:56-07:00

Buturovic, L. BioRxiv. Jun 2018.

A comprehensive time-course-based meta-analysis of sepsis and sterile inflammation reveals a robust discriminatory gene set
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A comprehensive time-course-based meta-analysis of sepsis and sterile inflammation reveals a robust discriminatory gene set

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A comprehensive time-course-based meta-analysis of sepsis and sterile inflammation reveals a robust discriminatory gene set

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Inflammatix is reimagining diagnostics by developing rapid tests that read the immune system to resolve major clinical and public health challenges. Our initial focus is on acute bacterial and viral infections, and sepsis. All products are in development and are not FDA cleared.

We’re seeking teammates with expertise, curiosity and passion for solving clinical challenges with a focus on patient outcomes. If that sounds like you, check out our Careers Page.

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