AIMC Topic: Humans
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Machine learning integration of bulk and single-cell RNA-seq data reveals glycolytic heterogeneity in colorectal cancer.
Medical oncology (Northwood, London, England)
Aug 30, 2025
As one of the most prevalent malignancies worldwide, colorectal cancer (CRC) exhibits a strong metabolic dependency on glycolysis, which fuels tumor expansion and shapes an immunosuppressive microenvironment. Despite its clinical significance, the re...
Exploring potential associations and biomarkers linked polycystic ovarian syndrome with atherosclerosis via comprehensive bioinformatics analysis, machine learning, and animal experiments.
Functional & integrative genomics
Aug 30, 2025
Polycystic ovary syndrome (PCOS), a common endocrine condition affecting multiple systems, is tied to atherosclerosis (AS) progression among reproductive-aged women. The present study aimed to explore the underlying associations and uncover potential...
Integrated Microbiome Data Analysis Reveals Potential Pneumonia Microbial Biomarkers in ICU Patients: A Machine Learning Approach.
Current microbiology
Aug 30, 2025
The human microbiome is pivotal in maintaining health and managing diseases. By examining the core microbiome in intensive care units (ICU) patients with pneumonia, we can gain valuable insights into the microbial communities associated with disease ...
External validation of deep learning-derived 18F-FDG PET/CT delta biomarkers for loco-regional control in head and neck cancer.
Acta oncologica (Stockholm, Sweden)
Aug 30, 2025
BACKGROUND AND PURPOSE: Delta biomarkers that reflect changes in tumour burden over time can support personalised follow-up in head and neck cancer. However, their clinical use can be limited by the need for manual image segmentation. This study exte...
Development of the generative artificial intelligence awareness scale for secondary school students in Türkiye.
European journal of pediatrics
Aug 30, 2025
The widespread adoption of generative artificial intelligence (AI) in education and daily life necessitates a deeper understanding of students' awareness and attitudes. However, there is a lack of appropriate and psychometrically validated tools to a...
Sociohydrodynamics: Data-driven modeling of social behavior.
Proceedings of the National Academy of Sciences of the United States of America
Aug 29, 2025
Living systems display complex behaviors driven by physical forces as well as decision-making. Hydrodynamic theories hold promise for simplified universal descriptions of socially generated collective behaviors. However, the construction of such theo...
Disorganization of retinal inner layers as an optical coherence tomography biomarker in diabetic retinopathy: A review.
Indian journal of ophthalmology
Aug 29, 2025
Diabetic retinopathy is a leading cause of vision impairment globally. Disorganization of the retinal inner layers (DRIL), detected via optical coherence tomography, has emerged as a potential biomarker of disease severity and visual prognosis. This ...
Effects of attractions and social attributes on peoples' usage intention and media dependence towards chatbot: The mediating role of parasocial interaction and emotional support.
BMC psychology
Aug 29, 2025
PURPOSE: It is important to explore the relationship between humans and chatbots to improve human-robot interaction in the era of artificial intelligence. This study aims to explore the effects of attractions and social attributes of chatbots on user...
Predicting current habitat suitability for intermediate snail hosts of urogenital and intestinal schistosomiasis in the Lower Shire Valley floodplain of southern Malawi.
Parasites & vectors
Aug 29, 2025
BACKGROUND: Relating the geographical distribution of intermediate freshwater snail hosts (viz. vectors of schistosomes) to local environmental attributes offers value for understanding the epidemiological landscape of schistosomiasis transmission in...
Fusion model integrating multi-sequence MRI radiomics and habitat imaging for predicting pathological complete response in breast cancer treated with neoadjuvant therapy.
Cancer imaging : the official publication of the International Cancer Imaging Society
Aug 29, 2025
BACKGROUND: This study aimed to develop a predictive model integrating multi-sequence MRI radiomics, deep learning features, and habitat imaging to forecast pathological complete response (pCR) in breast cancer patients undergoing neoadjuvant therapy...
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