Infectious Disease

HIV/AIDS

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

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State-of-the-art retinal vessel segmentation with minimalistic models.

The segmentation of retinal vasculature from eye fundus images is a fundamental task in retinal imag...

Statistical and machine learning methods to study human CD4 T cell proteome profiles.

Mass spectrometry proteomics has become an important part of modern immunology, making major contrib...

State-of-the-Art Capability of Convolutional Neural Networks to Distinguish the Signal in the Ionosphere.

Recovering and distinguishing different ionospheric layers and signals usually requires slow and com...

Using robots to advance clinical translation in neurorehabilitation.

A preclinical robotic platform aids rehabilitation, therapy development, and assessment of recovery ...

Machine learning in medical applications: A review of state-of-the-art methods.

Applications of machine learning (ML) methods have been used extensively to solve various complex ch...

Development of a Prototype Overground Pelvic Obliquity Support Robot for Rehabilitation of Hemiplegia Gait.

In this work, we present the overground prototype gait-rehabilitation robot for using motion assista...

Artificial intelligence approaches to the biochemistry of oxidative stress: Current state of the art.

Artificial intelligence (AI) and machine learning models are today frequently used for classificatio...

Testing a global null hypothesis using ensemble machine learning methods.

Testing a global null hypothesis that there are no significant predictors for a binary outcome of in...

Design and Implementation of a UAV-Based Airborne Computing Platform for Computer Vision and Machine Learning Applications.

Visual sensing of the environment is crucial for flying an unmanned aerial vehicle (UAV) and is a ce...

Switching to a NRTI-free 2 drug regimen (2DR) -a sub-analysis of the 48 weeks DUALIS study on metabolic and renal changes.

Switching from a three-drug regimen (3DR: boosted darunavir [bDRV] and two nucleoside reverse trans...

State of the Art Causal Inference in the Presence of Extraneous Covariates: A Simulation Study.

The central task of causal inference is to remove (via statistical adjustment) confounding bias that...

Optimal Architecture of Floating-Point Arithmetic for Neural Network Training Processors.

The convergence of artificial intelligence (AI) is one of the critical technologies in the recent fo...

Machine learning-based modeling in food processing applications: State of the art.

Food processing is a complex, multifaceted problem that requires substantial human interaction to op...

From Perception to Navigation in Environments with Persons: An Indoor Evaluation of the State of the Art.

Research in the field of social robotics is allowing service robots to operate in environments with ...

Anomalous Gait Feature Classification From 3-D Motion Capture Data.

The gait kinematics of an individual is affected by various factors, including age, anthropometry, g...

Video-Based Automatic Baby Motion Analysis for Early Neurological Disorder Diagnosis: State of the Art and Future Directions.

Neurodevelopmental disorders (NDD) are impairments of the growth and development of the brain and/or...

Different features identified by machine learning associated with the HIV compartmentalization in semen.

Genetic compartmentalization in semen has been observed in previous studies. However, genetic signat...

Clinically applicable deep learning-based decision aids for treatment of neovascular AMD.

PURPOSE: Anti-vascular endothelial growth factor (Anti-VEGF) therapy is currently seen as the standa...

COVID-19 diagnosis using state-of-the-art CNN architecture features and Bayesian Optimization.

The coronavirus outbreak 2019, called COVID-19, which originated in Wuhan, negatively affected the l...

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