AIMC Topic: Humans

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Exploring preparatory reading in bidirectional sight and written translation through clustering analysis of eye-tracking data.

PloS one
Preparatory reading-the phase between a translator's initial reading of the source text and the production of the first word of the target text-remains underexplored despite its crucial role in both sight (SiT) and written translation (WT). This stud...

Immunophenotyping identifies key immune biomarkers for coronary artery disease through machine learning.

PloS one
INTRODUCTION: The differences among immune subtypes in coronary artery disease (CAD), their interrelationships, and the associated immune biomarkers remain incompletely understood.

Artificial intelligence for biopsies and imaging modalities in systemic autoimmune rheumatic diseases: An instructive narrative review.

Autoimmunity reviews
PURPOSE: To organize the existing literature regarding applications of artificial intelligence (AI) in biopsies and imaging modalities of patients with systemic autoimmune rheumatic diseases (SARDs) and to familiarize readers with the most commonly o...

Factors affecting drug delivery system translation: A focus on advanced technologies, biological barriers, and regulatory challenges.

Journal of controlled release : official journal of the Controlled Release Society
The clinical translation of DDS is still one of the most challenging issues for the further development of therapeutic breakthroughs, especially for cancer and complex diseases. This review provides a critical overview of the factors that influence t...

Nanobodies targeting cytokines for the amelioration of autoimmune diseases.

International immunopharmacology
Autoimmune diseases are driven by dysregulated cytokine networks, where excessive cytokines such as TNF-α, IL-6, IL-17, and IL-23 promote chronic inflammation and tissue damage. While monoclonal antibodies effectively neutralise these cytokines, they...

ASM incorporates Imagetwin to address image duplication and preserve scientific accuracy.

mBio
Image duplication in scientific articles-accidental or intentional-undermines trust in research, authors, institutions, and publishers. Duplications not only cast doubt on researchers' scientific rigor, but they also raise concerns about potential mi...

Investigating genetic, antigenic, and structural diversity in the outer membrane protein, PorB: implications for vaccine design.

mBio
UNLABELLED: Vaccines targeting are needed to reduce disease burden and help address the problem of antimicrobial resistance, with an understanding of relationships between gonococcal genetics and molecules influencing diversity, infection, and the i...

Gradient Porous Flexible Pressure Sensors with the Relay Effect for High-Accuracy Braille-to-Speech Recognition.

ACS sensors
The development of highly sensitive, wide linear-range flexible pressure sensors is crucial for practical applications in human-computer interaction, physiological signal detection, and motion monitoring. However, traditional flexible pressure sensor...

Increasing the Scale of the Mass Spectrometry Query Language Compendium with Explainable AI.

Analytical chemistry
A significant bottleneck in metabolomics data interpretation is the effective use of domain knowledge to assign structural information based on fragmentation patterns. The mass spectrometry query language (MassQL) aims to make this process accessible...

Causal effect of conventional anti-dementia drugs on economic burden: an orthogonal double/debiased machine learning approach.

BMC geriatrics
BACKGROUND: The Inflation Reduction Act (IRA) did not introduce a cap on out-of-pocket (OOP) for newly approved Alzheimer's Disease (AD) drugs, such as lecanemab which is covered under Medicare Part B. Therefore, expanding the use of conventional ant...