Rheumatology

Latest AI and machine learning research in rheumatology for healthcare professionals.

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Mapping Extracellular Space Features of Viral Encephalitis to Evaluate the Proficiency of Anti-Viral Drugs.

The extracellular space (ECS) is an important barrier against viral attack on brain cells, and dynam...

iCub3 avatar system: Enabling remote fully immersive embodiment of humanoid robots.

We present an avatar system designed to facilitate the embodiment of humanoid robots by human operat...

Using Deep Learning to Segment Retinal Vascular Leakage and Occlusion in Retinal Vasculitis.

PURPOSE: Retinal vasculitis (RV) is characterised by retinal vascular leakage, occlusion or both on ...

Therapy-induced modulation of tumor vasculature and oxygenation in a murine glioblastoma model quantified by deep learning-based feature extraction.

Glioblastoma presents characteristically with an exuberant, poorly functional vasculature that cause...

Machine Learning in Modeling Disease Trajectory and Treatment Outcomes: An Emerging Enabler for Model-Informed Precision Medicine.

The increasing breadth and depth of resolution in biological and clinical data, including -omics and...

Anti-ultraviolet, antibacterial, and biofilm eradication activities against of melanins and melanin derivatives from and .

and produced significant amounts of water-insoluble melanins, and our previous study successfully ...

Preparation and Characterisation of Zinc Diethyldithiocarbamate-Cyclodextrin Inclusion Complexes for Potential Lung Cancer Treatment.

Zinc diethyldithiocarbamate (Zn (DDC)), a disulfiram metabolite (anti-alcoholism drug), has shown a ...

Serological and Molecular Characterization of Occult HBV Infection in Blood Donors from South Italy.

Despite good vaccine coverage and careful blood donor selection policies, hepatitis B virus (HBV) is...

Ct-based subregional radiomics using hand-crafted and deep learning features for prediction of therapeutic response to anti-PD1 therapy in NSCLC.

PURPOSE: To develop and externally validate subregional radiomics for predicting therapeutic respons...

Prospective Antiviral Effect of Aqueous Extract against COVID-19 Infection.

Marine algal extracts exhibit a potent inhibitory effect against several enveloped and non-enveloped...

A deep learning framework for predicting molecular property based on multi-type features fusion.

Extracting expressive molecular features is essential for molecular property prediction. Sequence-ba...

Anti-Dengue: A Machine Learning-Assisted Prediction of Small Molecule Antivirals against Dengue Virus and Implications in Drug Repurposing.

Dengue outbreaks persist in global tropical regions, lacking approved antivirals, necessitating crit...

Thyrotoxic Cardiomyopathy Unveiled: Insights From a Compelling Case Report.

Thyrotoxicosis is a clinical condition characterized by inappropriately elevated thyroid hormone lev...

Postbiotic Activities of : Impacts on Viability, Structural Integrity, and Cell Death Markers in Human Intestinal C2BBe1 Cells.

Acute diarrheal disease (ADD) caused by rotavirus (RV) contributes significantly to morbidity and mo...

Non-invasive prediction of the chronic degree of lupus nephropathy based on ultrasound radiomics.

OBJECTIVE: Through machine learning (ML) analysis of the radiomics features of ultrasound extracted ...

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