HIV/AIDS

Predicting HIV drug resistance using weighted machine learning method at target protein sequence-level.

Acquired immune deficiency syndrome (AIDS) is a fatal disease caused by human immunodeficiency virus...

State-of-the-art machine learning algorithms for the prediction of outcomes after contemporary heart transplantation: Results from the UNOS database.

PURPOSE: We sought to develop and validate machine learning (ML) models to increase the predictive a...

Immune-Based Prediction of COVID-19 Severity and Chronicity Decoded Using Machine Learning.

Expression of CCR5 and its cognate ligands have been implicated in COVID-19 pathogenesis, consequent...

BARD: A Structured Technique for Group Elicitation of Bayesian Networks to Support Analytic Reasoning.

In many complex, real-world situations, problem solving and decision making require effective reason...

Speech signal enhancement in cocktail party scenarios by deep learning based virtual sensing of head-mounted microphones.

The cocktail party effect refers to the human sense of hearing's ability to pay attention to a singl...

Deep learning of HIV field-based rapid tests.

Although deep learning algorithms show increasing promise for disease diagnosis, their use with rapi...

A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections.

PURPOSE: Accurate segmentation of brain resection cavities (RCs) aids in postoperative analysis and ...

Multilevel Deep-Aggregated Boosted Network to Recognize COVID-19 Infection from Large-Scale Heterogeneous Radiographic Data.

In the present epidemic of the coronavirus disease 2019 (COVID-19), radiological imaging modalities,...

State of the art robotic distal pancreatectomy: a review of the literature.

Minimally invasive distal pancreatectomy has become increasingly used in practice. While laparoscopi...

State of the art and challenges for the classification of studies on electromechanical and robotic devices in neurorehabilitation: a scoping review.

INTRODUCTION: The rapid development of electromechanical and robotic devices has profoundly influenc...

Machine Learning in Cardiac Imaging: Exploring the Art of Cluster Analysis.

Aesthetic preference for art can be predicted from a mixture of low- and high-level visual features.

It is an open question whether preferences for visual art can be lawfully predicted from the basic c...

Segmenting lung lesions of COVID-19 from CT images via pyramid pooling improved Unet.

Segmenting lesion regions of Coronavirus Disease 2019 (COVID-19) from computed tomography (CT) image...

Artificial Intelligence in magnetic Resonance guided Radiotherapy: Medical and physical considerations on state of art and future perspectives.

Over the last years, technological innovation in Radiotherapy (RT) led to the introduction of Magnet...

State-of-the-art reviews predictive modeling in adult spinal deformity: applications of advanced analytics.

Adult spinal deformity (ASD) is a complex and heterogeneous disease that can severely impact patient...

State-of-the-art machine learning improves predictive accuracy of 1-year survival after heart transplantation.

ESUR/ESUI position paper: developing artificial intelligence for precision diagnosis of prostate cancer using magnetic resonance imaging.

Artificial intelligence developments are essential to the successful deployment of community-wide, M...

Effects of gait training with a voluntary-driven wearable cyborg, Hybrid Assistive Limb (HAL), on quality of life in patients with neuromuscular disease, able to walk independently with aids.

Robot-assisted gait training using a voluntary-driven wearable cyborg, Hybrid Assistive Limb (HAL), ...

Predicting mean ribosome load for 5'UTR of any length using deep learning.

The 5' untranslated region plays a key role in regulating mRNA translation and consequently protein ...

Convolutional Sparse Support Estimator-Based COVID-19 Recognition From X-Ray Images.

Coronavirus disease (COVID-19) has been the main agenda of the whole world ever since it came into s...

Quantitating the art and science of esthetic clinical success.

BACKGROUND: Beginning with the biobehavioral bases of esthetic experiences, this article presents a ...