Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 2,941 to 2,950 of 202,937 articles

Understanding resistance in glioblastoma: insights into personalized and targeted therapeutic strategies.

Neuroscience
Glioblastoma multiforme (GBM) is the most common and aggressive primary malignant brain tumor. Despite combined treatments, including surgical removal followed by radiation and chemotherapy, the prognosis remains poor. Even with temozolomide, the cur... read more 

Multi-omics analysis identifies CD48 and ITIH5 as potential diagnostic biomarkers and therapeutic targets for metabolic disorders associated with obesity.

Gene
BACKGROUND: Obesity-driven metabolic disorders involve pathological remodeling of white adipose tissue (WAT), wherein fibroblasts coordinate fibrosis and inflammation. This study aimed to characterize fibroblast transcriptional heterogeneity, identif... read more 

Environmental conditions and animal hosts shape the spatial transmission risks of echinococcosis in China.

Acta tropica
Echinococcosis poses a major public-health challenge and substantial socioeconomic burdens in pastoral regions. Yet the spatial transmission risks in China and their drivers remain insufficiently understood. Using a national cross-sectional survey of... read more 

VAV3 is associated with atherosclerosis and ox-LDL-induced endothelial dysfunctional remodeling.

Microvascular research
BACKGROUND: Atherosclerosis is a major cause of ischemic stroke and is characterized by complex immune-metabolic dysregulation. VAV3, a Rho guanine nucleotide exchange factor, regulates multiple cellular processes, but its role in vascular pathology ... read more 

Response to Comment on "Machine learning model for predicting interfraction motion of the seminal vesicles in prostate cancer radiotherapy".

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
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A machine learning approach to identify active polysorbate 20 degrading hydrolases in biopharmaceutical formulations.

Journal of pharmaceutical sciences
Polysorbate degradation by host cell-derived hydrolases presents a critical challenge in biopharmaceutical formulations. It can lead to fatty acid release, particle formation and reduced product stability. Mass spectrometry-based host cell protein (H... read more 

Machine Learning-Driven Parallel XGBoost Modeling of Astaxanthin Production by Haematococcus pluvialis in Wastewater Contaminated with Antibiotics and Microplastics.

Environmental pollution (Barking, Essex : 1987)
Microalgae can produce high value-added products in wastewater (WW). Haematococcus pluvialis is a microalga and can synthesize high amounts of astaxanthin (AXT) under suitable conditions. In this study, high AXT was produced from H. pluvialis, cultiv... read more 

Evaluating the Quality of AI-Generated Rubrics and Grading Reliability in Student Written Reflection Assignments.

American journal of pharmaceutical education
OBJECTIVE: To investigate whether generative artificial intelligence (genAI) can improve pharmacy assessment practices, specifically rubric development and grading of student written reflection assignments. METHODS: Sample student written reflections... read more 

Conserved Residues in the Gα interface show subtype specificity in Gβγ coupling.

The Journal of biological chemistry
Although the structural basis of selective interaction of G-proteins and G protein coupled receptors (GPCRs) is well characterized, the mechanisms underlying selective interactions between distinct Gα subtypes (Gαs, Gαi, Gαq, Gα12, etc.) and Gβγ rema... read more