AIMC Topic: Humans

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Cancer Research in the 21st Century: Recent Advances and Future Perspectives.

Zhongguo ying yong sheng li xue za zhi = Zhongguo yingyong shenglixue zazhi = Chinese journal of applied physiology
INTRODUCTION: Cancer remains a major global health concern, accounting for nearly 10 million deaths annually. Despite its complexity and heterogeneity, significant advancements in cancer research over the past two decades have transformed the landsca...

Limited-angle SPECT image reconstruction using deep image prior.

Physics in medicine and biology
. In single-photon emission computed tomography (SPECT) image reconstruction, limited-angle conditions lead to a loss of frequency components, which distort the reconstructed tomographic image along directions corresponding to the non-collected proje...

The Representational Organization of Static and Dynamic Visual Features in the Human Cortex.

The Journal of neuroscience : the official journal of the Society for Neuroscience
Visual information consists of static and dynamic properties. How is their representation organized in the visual system? Static information has been associated with ventral temporal regions while dynamic information with lateral and dorsal regions. ...

Exploring entropy measures with topological indices on colorectal cancer drugs using curvilinear regression analysis and machine learning approaches.

PloS one
A topological index is a numerical value derived from the structure of a molecule or graph that provides useful information about the molecule's physical, chemical, or biological properties. These indices are especially important in chemo-informatics...

Single-layer KAN for deepfake classification: Balancing efficiency and performance in resource constrained environments.

PloS one
Deepfakes, synthetic media created using artificial intelligence, threaten the authenticity of digital content. Traditional detection methods, such as Convolutional Neural Networks (CNNs), require substantial computational resources, rendering them i...

Clinical prediction of intravenous immunoglobulin-resistant Kawasaki disease based on interpretable Transformer model.

PloS one
Intravenous immunoglobulin (IVIG) has been established as the first-line therapy for Kawasaki disease (KD). However, approximately 10%-20% of pediatric patients exhibit IVIG resistance. Current machine learning (ML) models demonstrate suboptimal pred...

IKEA effect and empathy for robots: Can assembly strengthen human-agent relationships?

PloS one
Cooperative relationships between humans and agents are becoming more important for the social coexistence of anthropomorphic agents, including virtual agents and robots. One way to improve the relationship between humans and agents is for humans to ...

Unsupervised learning using EHR and census data to identify distinct subphenotypes of newly diagnosed hypertension patients.

PloS one
BACKGROUND: Hypertension (HTN) is a complex condition with significant heterogeneity in presentation and treatment response. Identifying distinct subphenotypes of HTN may improve our understanding of its underlying mechanisms and guide more precise t...

Multiparameter MRI-based automatic segmentation and diagnostic models for the differentiation of intracranial solitary fibrous tumors and meningiomas.

Annals of medicine
BACKGROUND: Intracranial solitary fibrous tumors (SFTs) and meningiomas are meningeal tumors with different malignancy levels and prognoses. Their similar imaging features make preoperative differentiation difficult, resulting in high misdiagnosis ra...

Adverse impact of paternal age on embryo euploidy: insights from retrospective analysis and interpretable Machine learning.

Human fertility (Cambridge, England)
The trend of delayed childbearing has increased the average age of parents, with the impact of paternal age on embryo euploidy remaining controversial. Therefore, this study aimed to investigate the impact of paternal age on embryo euploidy using ret...