Infectious Disease

The role of a socially assistive robot in enabling older adults with mild cognitive impairment to cope with the measures of the COVID-19 lockdown: A qualitative study.

BACKGROUND: During the COVID-19 pandemic, mandatory containment measures led to lockdowns and severely diminished social interaction, with older adults being one vulnerable group. Socially assistive robots (SARs) could prove to be an effective intervention.

Transvesical Approach in Robot-Assisted Bladder Diverticulectomy: Surgical Technique and Outcome.

Treatment for bladder diverticula may become necessary in case of incomplete bladder emptying or recurrent urinary tract infections (UTIs). When bladder outlet obstruction is present, a simultaneous desobstructive procedure can be performed. In this video, we present our technique for a transvesical approach in robot-assisted bladder diverticulectomy (RABD) and discuss its outcomes. We retrospec...

A comprehensive review of federated learning for COVID-19 detection.

The coronavirus of 2019 (COVID-19) was declared a global pandemic by World Health Organization in March 2020. Effective testing is crucial to slow the...

An ensemble learning method based on ordinal regression for COVID-19 diagnosis from chest CT.

Coronavirus disease 2019 (COVID-19) has brought huge losses to the world, and it remains a great threat to public health. X-ray computed tomography (C...

Choquet Integral and Coalition Game-Based Ensemble of Deep Learning Models for COVID-19 Screening From Chest X-Ray Images.

Under the present circumstances, when we are still under the threat of different strains of coronavirus, and since the most widely used method for COV...

A Deep Learning Framework Integrating the Spectral and Spatial Features for Image-Assisted Medical Diagnostics.

The development of a computer-aided disease detection system to ease the long and arduous manual diagnostic process is an emerging research interest. ...

LectinOracle: A Generalizable Deep Learning Model for Lectin-Glycan Binding Prediction.

Ranging from bacterial cell adhesion over viral cell entry to human innate immunity, glycan-binding proteins or lectins are abound in nature. Widely u...

and antimalarial activities of P. Beauv. (Avicenniaceae) ethanolic leaf extract.

BACKGROUND: The emergence of widespread drug-resistant strains of the malaria parasites militates against strives for more potent antimalarial drugs.

Biofilm inhibition in Candida albicans with biogenic hierarchical zinc-oxide nanoparticles.

The present study demonstrates lignin (L), fragments of lignin (FL), and oxidized fragmented lignin (OFL) as templates for the synthesis of zinc oxide...

Knowledge graph analysis and visualization of AI technology applied in COVID-19.

With the global outbreak of coronavirus disease (COVID-19) all over the world, artificial intelligence (AI) technology is widely used in COVID-19 and ...

Antimicrobial and antioxidant activity of proteins isolated from honey.

Proteins from honey were purified by concanavalin A (conA) affinity chromatography and eluted with a stepwise glucose gradient into fractions named F...

Genome-Wide Mutation Scoring for Machine-Learning-Based Antimicrobial Resistance Prediction.

The prediction of antimicrobial resistance (AMR) based on genomic information can improve patient outcomes. Genetic mechanisms have been shown to expl...

IFPTML Mapping of Drug Graphs with Protein and Chromosome Structural Networks vs. Pre-Clinical Assay Information for Discovery of Antimalarial Compounds.

The parasite species of genus causes Malaria, which remains a major global health problem due to parasite resistance to available Antimalarial drugs ...

Deep Learning-Based Sentiment Analysis of COVID-19 Vaccination Responses from Twitter Data.

The COVID-19 pandemic has had a devastating effect on many people, creating severe anxiety, fear, and complicated feelings or emotions. After the init...

Machine Learning-Based HIV Risk Estimation Using Incidence Rate Ratios.

HIV/AIDS is an ongoing global pandemic, with an estimated 39 million infected worldwide. Early detection is anticipated to help improve outcomes and p...

Validation of expert system enhanced deep learning algorithm for automated screening for COVID-Pneumonia on chest X-rays.

SARS-CoV2 pandemic exposed the limitations of artificial intelligence based medical imaging systems. Earlier in the pandemic, the absence of sufficien...

Performance of Machine Learning Algorithms for Predicting Progression to Dementia in Memory Clinic Patients.

IMPORTANCE: Machine learning algorithms could be used as the basis for clinical decision-making aids to enhance clinical practice.

COVID surveillance robot: Monitoring social distancing constraints in indoor scenarios.

Observing social/physical distancing norms between humans has become an indispensable precaution to slow down the transmission of COVID-19. We present...

Understanding Medical Distrust Among African American/Black and Latino Persons Living With HIV With Sub-Optimal Engagement Along the HIV Care Continuum: A Machine Learning Approach.

Medical distrust is a potent barrier to participation in HIV care and medication use among African American/Black and Latino (AABL) persons living wit...

Chitosan-gum arabic embedded alizarin nanocarriers inhibit biofilm formation of multispecies microorganisms.

Biofilm formation by microorganisms is a serious clinical problem that leads to drug failure. Nanocarriers (NCs) have shown good potential for control...