AIMC Topic: Humans

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Artificial intelligence-assisted longitudinal assessment of coronary artery calcification in the Korean lung cancer screening CT program.

Clinical imaging
PURPOSE: The clinical implications of coronary artery calcification (CAC) growth remain underexplored. This study aims to assess CAC growth and its association with adverse cardiovascular events (ACEs) in individuals undergoing lung cancer screening ...

An integrative analysis reveals mechanisms of Prunella vulgaris in thyroid cancer metastasis.

Phytomedicine : international journal of phytotherapy and phytopharmacology
BACKGROUND: Lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) is a major contributor to poor prognosis. Prunella vulgaris (P. vulgaris), a traditional medicinal herb, has shown potential in inhibiting PTC metastasis, but its molecular ...

Corona Dynamics of Nanoparticles and Their Functional Design Space in Molecular Sensing.

ACS nano
As nanomaterials increasingly interact with complex biological environments, understanding and designing their interfacial layers is critical for enabling functional and responsive behaviors. The protein corona, a spontaneously formed biomolecular la...

A computational study of cardiac glycosides from Vernonia amygdalina as PI3K inhibitors for targeting HER2 positive breast cancer.

Journal of computer-aided molecular design
The PI3K/Akt pathway plays a crucial role in regulating a broad network of proteins involved in the proliferation of HER2-positive breast cancer. The ethyl acetate fraction of Vernonia amygdalina, which contains cardiac glycosides, has been shown to ...

The application of improved AFCNN model for children's psychological emotion recognition.

Scientific reports
Children's mental health has become an increasingly prominent concern in modern education. However, insufficient attention from schools and families to children's psychological and emotional issues has exacerbated the problem. This study proposes a p...

Comparing traditional natural language processing and large language models for mental health status classification: a multi-model evaluation.

Scientific reports
The substantial increase in mental health disorders globally necessitates scalable, accurate tools for detecting and classifying these conditions in digital environments. This study addresses the critical challenge of automated mental health classifi...

Interpretable machine learning models for survival prediction in prostate cancer bone metastases.

Scientific reports
Prostate cancer bone metastasis (PCBM) is a highly lethal condition with limited survival. Accurate survival prediction is essential for managing these typically incurable patients. However, existing clinical models lack precision. This study seeks t...

GPS-based street-view greenspace exposure and wearable assessed physical activity in a prospective cohort of US women.

The international journal of behavioral nutrition and physical activity
BACKGROUND: Increasing evidence positively links greenspace and physical activity (PA). However, most studies use measures of greenspace, such as satellite-based vegetation indices around the residence, which fail to capture ground-level views and da...

Imaging and pulmonary function techniques in ARDS diagnosis and management: current insights and challenges.

Critical care (London, England)
Acute Respiratory Distress Syndrome (ARDS) is a life-threatening condition characterized by acute onset of respiratory failure, which presents significant challenges in diagnosis and management. Its heterogeneity, with diverse underlying aetiologies ...

MIDAS: a technology-enabled hub-and-spoke system for the collection and dissemination of high-quality medical datasets in India.

BMC medical informatics and decision making
BACKGROUND: The need for better AI models fuels the demand for larger and larger high-quality datasets with significant diversity. Over the years, many medical imaging datasets have been published globally, but existing datasets do not contain enough...