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Seasonality in risk of pandemic influenza emergence

October 19, 2017

Seasonality in risk of pandemic influenza emergence

Image credit: Spencer J. Fox

10/19/2017

research article

A deep convolutional neural network for classification of red blood cells in sickle cell anemia

Red blood cells of sickle cell disease patients have diverse shapes that reveal important biomechanical and bio-rheological characteristics. Having an effective way of classifying red blood cell shapes will lead to better prognosis of the disease. Xu et al. develop a new computational framework based on deep convolutional networks in order to efficiently classify the heterogeneous shapes encountered in the sickle blood.

Image credit: Xu et al.

A deep convolutional neural network for classification of red blood cells in sickle cell anemia

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Current Issue

Current Issue September 2017

10/19/2017

education paper

Learning infectious disease epidemiology in a modern framework

Modern infectious disease epidemiology makes heavy use of computational model-based approaches. Andreas Handel describes a new software package for the widely used R language that allows individuals to explore and study concepts of infectious disease epidemiology by using a modern, dynamical systems model framework, without the need to read or write computer code. 

Image credit: PLOS

Learning infectious disease epidemiology in a modern framework

10/19/2017

research article

Distinct prediction errors in mesostriatal circuits of the human brain mediate learning about the values of both states and actions: evidence from high-resolution fMRI

Prediction-error signals consistent with formal models of “reinforcement learning” (RL) have repeatedly been found within dopaminergic nuclei of the midbrain. However, the precise form of the algorithms implemented in the human brain is not well determined. Colas et al. design a novel task specifically to address this issue.

Image credit: Colas et al.

Distinct prediction errors in mesostriatal circuits of the human brain mediate learning about the values of both states and actions: evidence from high-resolution fMRI

10/18/2017

plos science wednesday

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PLOS NTDs author Natasha Agramonte discusses her research into how different insecticides impact blood-feeding behavior of Ae. Aegypti mosquitoes in Puerto Rico.

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Image credit: PLOS

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