Infectious Disease

HIV/AIDS

Latest AI and machine learning research in hiv/aids for healthcare professionals.

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Single T Cell Sequencing Demonstrates the Functional Role of TCR Pairing in Cell Lineage and Antigen Specificity.

Although structural studies of individual T cell receptors (TCRs) have revealed important roles for ...

Validation of a simple equation for glomerular filtration rate measurement based on plasma iohexol disappearance.

BACKGROUND: A simple equation for glomerular filtration rate (GFR) measurement based on only plasma ...

Targeting HIV/HCV Coinfection Using a Machine Learning-Based Multiple Quantitative Structure-Activity Relationships (Multiple QSAR) Method.

Human immunodeficiency virus type-1 and hepatitis C virus (HIV/HCV) coinfection occurs when a patien...

Recurrent transform learning.

Recurrent neural networks (RNN) model time series by feeding back the representation from the previo...

BioWolf: A Sub-10-mW 8-Channel Advanced Brain-Computer Interface Platform With a Nine-Core Processor and BLE Connectivity.

Advancements in digital signal processing (DSP) and machine learning techniques have boosted the pop...

A Ligand-Based Virtual Screening Method Using Direct Quantification of Generalization Ability.

Machine learning plays an important role in ligand-based virtual screening. However, conventional ma...

Discrimination of EMG Signals Using a Neuromorphic Implementation of a Spiking Neural Network.

An accurate description of muscular activity plays an important role in the clinical diagnosis and r...

Stereo Vision Based Sensory Substitution for the Visually Impaired.

The development of computer vision based systems dedicated to help visually impaired people to perce...

SIMON, an Automated Machine Learning System, Reveals Immune Signatures of Influenza Vaccine Responses.

Machine learning holds considerable promise for understanding complex biological processes such as v...

Error Tolerance of Machine Learning Algorithms across Contemporary Biological Targets.

Machine learning continues to make strident advances in the prediction of desired properties concern...

JointRCNN: A Region-Based Convolutional Neural Network for Optic Disc and Cup Segmentation.

OBJECTIVE: The purpose of this paper is to propose a novel algorithm for joint optic disc and cup se...

LeukocyteMask: An automated localization and segmentation method for leukocyte in blood smear images using deep neural networks.

Digital pathology and microscope image analysis is widely used in comprehensive studies of cell morp...

Incorporating causal factors into reinforcement learning for dynamic treatment regimes in HIV.

BACKGROUND: Reinforcement learning (RL) provides a promising technique to solve complex sequential d...

Parsing clinical text using the state-of-the-art deep learning based parsers: a systematic comparison.

BACKGROUND: A shareable repository of clinical notes is critical for advancing natural language proc...

Concurrent, Performance-Based Methodology for Increasing the Accuracy and Certainty of Short-Term Neural Prediction Systems.

Accurate prediction of the short time series with highly irregular behavior is a challenging task fo...

Portable brain-computer interface based on novel convolutional neural network.

Electroencephalography (EEG) is a powerful, noninvasive tool that provides a high temporal resolutio...

Multiple Machine Learning Comparisons of HIV Cell-based and Reverse Transcriptase Data Sets.

The human immunodeficiency virus (HIV) causes over a million deaths every year and has a huge econom...

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