AIMC Topic: Humans

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Prediction models for different types of leukemia: a systematic review and critical appraisal.

Journal of cancer research and clinical oncology
OBJECTIVES: To systematically review and evaluate the methodological quality and risk of bias (ROB) of leukemia prediction models essential for clinical decision-making.

Referential hallucination and clinical reliability in large language models: a comparative analysis using regenerative medicine guidelines for chronic pain.

Rheumatology international
This study compared language models' responses to open-ended questions on regenerative therapy guidelines for chronic pain, assessing their accuracy, reliability, usefulness, readability, semantic similarity, and hallucination rates. This cross-secti...

In silico purification improves DNA methylation-based classification rates of pediatric low-grade gliomas.

Acta neuropathologica
DNA methylation-based classification using the Heidelberg Classifier is a state-of-the-art data-driven method for molecular diagnosis of central nervous system (CNS) tumors. However, many pediatric low-grade glioma (pLGG) samples fail to yield a conf...

Fusion of habitat analysis and deep learning on contrast-enhanced T1-weighted imaging for predicting Ki-67 status in pediatric brain tumors.

Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery
PURPOSE: Tumors are heterogeneous and consist of subregions, also known as tumor habitats, each of which corresponds to a group of tissues with similar structural, metabolic or functional characteristics. This study aims to visualize and quantify int...

Beyond tractography in brain connectivity mapping with dMRI morphometry and functional networks.

Brain structure & function
Traditional brain connectivity studies have focused mainly on structural connectivity, often relying on tractography with diffusion MRI (dMRI) to reconstruct white matter pathways. In parallel, studies of functional connectivity have examined correla...

Utilizing cues from developmental neurogenesis and gliogenesis for better brain models.

Artificial cells, nanomedicine, and biotechnology
With a globally ageing population, neurodegenerative disease poses an increasingly greater risk to health span, yet there are still no curative treatments. Efficient biomimetic modelling is the underlying target for improving preclinical-to-clinical ...

Accelerating antibody development: sequence and structure-based models for predicting developability properties via size exclusion chromatography.

mAbs
Experimental screening for biopharmaceutical developability properties typically relies on resource-intensive, and time-consuming assays such as size exclusion chromatography (SEC). This study highlights the potential of in silico models to accelerat...

Small dense LDL: An underestimated driver of atherosclerosis (Review).

Molecular medicine reports
Cardiovascular disease remains the leading cause of death globally, despite advances in lipid‑lowering strategies. A distinct subfraction of low‑density lipoprotein (LDL) particles, known as small LDL (sdLDL; particle size, 15‑20 nm), has been found ...

Green nanofiber biocomposites for drug delivery: A sustainable approach to advanced pharmaceutical systems.

International journal of pharmaceutics
The advancement of sustainable and biocompatible materials has opened new avenues in drug delivery systems, especially through the integration of plant-based nanofiber biocomposites. These materials, derived from renewable sources such as cellulose, ...

The potential to improve Lyme disease diagnostics through quantification of immunoglobulin class switching patterns.

Journal of clinical microbiology
N. Nair, A. Marques , E. J. Horn, G. Brown et al., J Clin Microbiol 63:e0034725, 2025, https://doi.org/10.1128/jcm.00347-25 present data to demonstrate that infection by , the primary causative agent of Lyme disease in the USA, leads to immunoglobuli...