AI Medical Compendium Journal:
Artificial cells, nanomedicine, and biotechnology

Showing 1 to 9 of 9 articles

Identification of macrophage-associated diagnostic biomarkers and molecular subtypes in gestational diabetes mellitus based on machine learning.

Artificial cells, nanomedicine, and biotechnology
Gestational diabetes mellitus (GDM) is a common metabolic disorder during pregnancy, involving multiple immune and inflammatory factors. Macrophages play a crucial role in its development. This study integrated scRNA-seq and RNA-seq data to explore m...

Multimodal attention fusion deep self-reconstruction presentation model for Alzheimer's disease diagnosis and biomarker identification.

Artificial cells, nanomedicine, and biotechnology
The unknown pathogenic mechanisms of Alzheimer's disease (AD) make treatment challenging. Neuroimaging genetics offers a method for identifying disease biomarkers for early diagnosis, but traditional approaches struggle with complex non-linear, multi...

Unveiling the ageing-related genes in diagnosing osteoarthritis with metabolic syndrome by integrated bioinformatics analysis and machine learning.

Artificial cells, nanomedicine, and biotechnology
Ageing significantly contributes to osteoarthritis (OA) and metabolic syndrome (MetS) pathogenesis, yet the underlying mechanisms remain unknown. This study aimed to identify ageing-related biomarkers in OA patients with MetS. OA and MetS datasets an...

Machine learning-based integration develops a disulfidptosis-related lncRNA signature for improving outcomes in gastric cancer.

Artificial cells, nanomedicine, and biotechnology
Gastric cancer remains one of the deadliest cancers globally due to delayed detection and limited treatment options, underscoring the critical need for innovative prognostic methods. Disulfidptosis, a recently discovered programmed cell death trigger...

Synthesis of chitosan nanoparticles, chitosan-bulk, chitosan nanoparticles conjugated with glutaraldehyde with strong anti-cancer proliferative capabilities.

Artificial cells, nanomedicine, and biotechnology
In recent years, natural and synthetic polymers have attracted much attention due to their great potentials in medical science. In the present study, we have investigated the effect of chitosan-bulk (Ch-bulk), chitosan nanoparticles (ChNP), chitosan ...

Synthesis, characterization, antimicrobial and antimetastatic activity of silver nanoparticles synthesized from Ficus ingens leaf.

Artificial cells, nanomedicine, and biotechnology
Cancer incidence is still increasing due to inadequate responsive treatments. Inertness and biocompatibility of nanoparticles synthesized using plant extracts have shown therapeutic applications and make it to be a good anti-cancer candidates. This s...

Preparation of albendazole-loaded liposomes by supercritical carbon dioxide processing.

Artificial cells, nanomedicine, and biotechnology
Supercritical fluid (SCF) technology offers a potential green alternative to organic solvent-based methods for drug formulation. Albendazole (ABZ) has promising anticancer activity when formulated to increase its cellular uptake. Herein, a static vol...

Image segmentation and classification of white blood cells with the extreme learning machine and the fast relevance vector machine.

Artificial cells, nanomedicine, and biotechnology
White blood cells (WBCs) or leukocytes are an important part of the body's defense against infectious organisms and foreign substances. WBC segmentation is a challenging issue because of the morphological diversity of WBCs and the complex and uncerta...

Classification of white blood cells using weighted optimized deformable convolutional neural networks.

Artificial cells, nanomedicine, and biotechnology
BACKGROUND: Machine learning (ML) algorithms have been widely used in the classification of white blood cells (WBCs). However, the performance of ML algorithms still needs to be addressed for being short of gold standard data sets, and even the imple...