AIMC Topic: Humans

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Significant correlation between ferroptosis-associated genes and ulcerative colitis: implications for diagnosis and treatment.

European journal of medical research
BACKGROUND: Ulcerative colitis (UC) is a significant type of inflammatory bowel disease (IBD). Ferroptosis is a type of procedural death that is associated with different types of diseases to various degrees. This study aimed to explore the key ferro...

Integrative single-cell and bulk transcriptomic analysis reveals the landscape of T cell mitotic catastrophe associated genes in esophageal squamous cell carcinoma.

Human genomics
BACKGROUND: Mitotic catastrophe (MC) is a well-recognized endogenous mechanism of tumor cell death, characterized as a delayed cell death process associated with aberrant mitosis. However, its prognostic significance in the context of intratumoral he...

Clinical-transcriptomic classification of lumbar disc degeneration enhanced by machine learning.

Military Medical Research
BACKGROUND: Lumbar disc degeneration (LDD) displays considerable heterogeneity in terms of clinical features and pathological changes. However, researchers have not clearly determined whether the transcriptome variations in LDD could be used to ident...

Pulse wave-driven machine learning for the non-invasive assessment of coronary artery calcification in patients with end-stage renal disease undergoing hemodialysis.

Biomedical engineering online
BACKGROUND: Coronary artery calcification (CAC) represents a major cardiovascular risk in patients with end-stage renal disease (ESRD) undergoing hemodialysis. Given that radial artery pulse waveforms can reflect vascular status, this study aimed to ...

Integrating multiple feature assessment methods to identify key predictors of repeat suicide attempts in Taiwan.

BMC psychiatry
BACKGROUND: The high rate of repeat attempts among individuals who have previously attempted suicide presents a critical challenge in public health and suicide prevention. While early and targeted intervention is crucial for this high-risk group, eff...

Comparative evaluation of large language models performance in medical education using urinary system histology assessment.

Scientific reports
Large language models (LLMs) show potential for medical education, but their domain-specific capabilities need systematic evaluation. This study presents a comparative assessment of thirteen LLMs in urinary system histology education. Using a multi-d...

Assessment of university students' earthquake coping strategies using artificial intelligence methods.

Scientific reports
Earthquakes are one of the most destructive natural disasters that pose a serious threat to human life and infrastructure worldwide. The aim of this study is to evaluate the coping strategies of adult individuals in Turkey regarding earthquake stress...

IQUP identifies quantitatively unreliable spectra with machine learning for isobaric labeling-based proteomics.

Scientific reports
Mass spectrometry‑based proteomics using isobaric labeling technology has become popular for proteomic quantitation. Existing approaches rely on the mechanism of target-decoy search and false discovery rate control to examine whether a peptide-spectr...

Multimodal feature distinguishing and deep learning approach to detect lung disease from MRI images.

Scientific reports
Precise and early detection and diagnosis of lung diseases reduce the severity of life risk and further spread of infections in patients. Computer-based image processing techniques utilize magnetic resonance imaging (MRI) as input for computing, dete...

Long chain fatty acid transport via SLC27A1 enhances DAG-3-P synthesis and accelerates colorectal cancer metastasis.

Scientific reports
Colorectal cancer (CRC) is a major global health issue. Despite advancements in treatment, CRC patients still face challenges of metastasis and variable prognosis. Circulating tumor cells (CTCs) shed from the primary tumor into the peripheral blood c...