COVID-19

A novel system design for monocular laser assisted capsule endoscopy for 3D small bowel modeling.

The long, tortuous, and tissue-homogeneous structure of the small bowel makes image-based three-dimensional (3D) modeling studies technically complex. Since wireless capsule endoscopy (WCE) systems generally produce only two-dimensional images, obtaining precise 3D structures with this limited data is highly challenging with existing traditional methods. In this study, we propose a novel capsule e...

Development and validation of the Lebanese Social Media Dependency Scale (LSMDS): A cross-sectional study among university students.

BACKGROUND: Social media use has become pervasive among university students worldwide, with growing evidence linking excessive use to negative psychological and academic outcomes. While various scales exist to assess problematic social media use, most have been validated in Western populations, limiting their cultural applicability. This study aimed to develop and validate a culturally appropriate...

Beyond HLA-Ia: A multidimensional framework for Neoantigen immunotherapy.

Glioblastoma (GBM) and other malignant gliomas are associated with aggressive progression, high recurrence rates, and poor long-term outcomes, while c...

Unraveling spatial distribution and associated factors of bisphenol analogues in the Yangtze River Delta: A machine learning approach.

Bisphenol analogues (BPs) are widely detected in aquatic environments; however, comprehensive spatial characterization across large river systems rema...

AI-Powered Image-Based Assessment of Pressure Injuries Using You Only Look Once Version 8 (YOLOv8) Models.

OBJECTIVE: The primary objective of this study is to enhance the detection and staging of pressure injuries using machine learning capabilities for pr...

Multi-Omics and Machine Learning Analyses Reveal PIK3CG, PRKCD, and TRIM22 as Potential Markers of Poor Prognosis and Immune Activation in Glioblastoma.

BACKGROUND: Glioblastoma (GBM) is one of the most aggressive brain tumors with a poor prognosis despite current treatment modalities. This study aimed...

MethylSense: high accuracy machine learning-based diagnostics for Aspergillus fumigatus infection in chickens using host cell-free DNA methylation and Nanopore sequencing.

Avian aspergillosis, caused by Aspergillus fumigatus (Af), lacks sensitive antemortem diagnostics. Existing microbial cell-free DNA (cfDNA) tests are ...

Multimodal Depression Detection Through Conversational Interactions with an Emotion-Aware Social Robot: Pilot Study.

BACKGROUND: Depression affects more than 300 million people worldwide and is a leading contributor to the global disease burden. Traditional diagnosti...

Augmented prediction of multi-species protein-RNA interactions using evolutionary conservation of RNA-binding proteins.

RNA-binding proteins (RBPs) play critical roles in the regulation of gene expression. Recent studies have begun to detail the RNA recognition mechanis...

MetaXVP: an interpretable machine learning framework for deep insight into variant pathogenicity and VUS classification.

The interpretation and classification of nonsynonymous single nucleotide variants (nsSNVs) remains a significant challenge in clinical genomics partic...

AI-driven target definition using CE-T1w and black blood sequence imaging in stereotactic radiosurgery for brain metastases.

OBJECTIVES: Development and evaluation of a deep learning-based method for automatic detection and target delineation of brain metastases on contrast-...

Data-driven thresholds for standardized classification of severe Alzheimer's disease neuropathology using digital neuropathology.

Alzheimer's disease neuropathological changes (ADNC)-operationalized with semi-quantitative parameters-represent the consensus-based gold standard for...

Plasma multi-omics profiling unravels molecular alterations and biomarker panels during recovery from severe coronavirus disease 2019: a pilot study.

BACKGROUND: The potential multidimensional molecular alterations during recovery of severe patients with coronavirus infectious disease (COVID-19) rem...

Increasing value in the Veterans Affairs Healthcare System (VA) with precision health: a continuing landmark collaboration with the Department of Energy.

OBJECTIVE: Phase II of MVP-CHAMPION, a federal collaboration between the Veterans Affairs Healthcare System (VA) and the Department of Energy (DoE), l...

CD27 Neutralization Attenuates Rheumatoid Arthritis by Suppressing.

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by joint inflammation and destruction. Identifying novel therapeutic targets i...

Toward Precise Risk Stratification after the Functional Cure of Chronic Hepatitis B.

Chronic hepatitis B remains a major global health challenge despite the advances in antiviral therapy. Although hepatitis B surface antigen (HBsAg) se...

The ecological framework of population health - Adding public trust as a forcing factor for U.S. life expectancy and COVID-19 mortality.

OBJECTIVES: What are the factors that set the stage for health status and outcomes in the United States (U.S.)? This complex question is rarely consid...

First step towards predicting clinical immunogenicity of biologics using in vitro based readouts as animal trial alternatives.

Immunogenicity risk assessment is a critical step in the therapeutic development process of biologics. However, anti-drug antibodies continue to occur...

Machine learning-based prediction of Familial Hemiplegic Migraine risk from genetic variants.

BACKGROUND: Familial Hemiplegic migraine (FHM) is a rare migraine subtype characterised by transient unilateral motor weakness. Although familial form...

Predicting Agitation Stability of Monoclonal Antibodies during Developability Assessment.

Developability assessment facilitates the selection of antibody drug candidates with desirable pharmaceutical properties. However, it remains uncertai...