AIMC Topic: Adult

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Connectomics in brain tumor surgery: large-scale clinical feasibility and hypothesis-generating tractometry findings.

Journal of neuro-oncology
BACKGROUND: Maximal tumor resection with neurological preservation is central to brain tumor surgery. This study evaluates the integration of an artificial intelligence-based connectomics platform for surgical planning, with exploratory tractometry a...

Functional dynamics between resident transcriptionally active microbes (TAMs) and host genes underlie Dengue severity.

PLoS neglected tropical diseases
Host-microbe interactions are increasingly recognized as an important module to understand disease progression and potential treatment strategies. Increasing evidence points to the microbiome's ability to modulate host gene expression, and thereby in...

Ethical compliance and institutional policy support for artificial intelligence integration in African TVET Education: A structural equation modeling approach.

PloS one
As artificial intelligence (AI) reshapes educational landscapes, ensuring ethical alignment and institutional responsiveness is essential particularly in skill-intensive sectors such as Technical and Vocational Education and Training (TVET). In this ...

Association of Brain Age With Physical Disability and Cognitive Impairment in People With Multiple Sclerosis of the Same Age.

Neurology
BACKGROUND AND OBJECTIVES: The brain-predicted age difference (brain-PAD) is a novel marker of neurodegeneration in multiple sclerosis (MS). Brain-PAD has been associated with clinical disability in heterogeneous MS patient cohorts of varying ages an...

Comparison of machine learning classification and regression models for prediction of academic performance among postgraduate public health students.

Scientific reports
Machine learning (ML) is an artificial intelligence tool that focuses on learning by generating models using established algorithms that represent a given dataset. It can be used as a predictive tool for students' academic performance (AP) at both un...

Dual-channel TRCA-net based on cross-subject positive transfer for SSVEP-BCI.

Biomedical physics & engineering express
. To enhance the decoding accuracy and information transfer rate of steady-state visual evoked potential-based brain-computer interface (SSVEP-BCI) systems and to reduce inter-subject variability for broader SSVEP-BCI applications, a dual-channel TRC...

Incorporating multi-modal prompt learning into foundation models enhances predictability of visual fMRI responses to dynamic natural stimuli.

Journal of neural engineering
. Modeling neural encoding of visual stimuli often uses deep neural networks (DNNs) to predict human brain response to external stimuli. However, each DNN depends on networks tailored for computer vision tasks, resulting in suboptimal brain correspon...

Thyroid Function Effects of Mixed Exposure to Urinary Trihalomethanes and Haloacetic Acids: Based on an Integrated Framework of Exposure Assessment, Qualitative Association, and Quantitative Attribution.

Environmental science & technology
Toxicological studies have demonstrated that disinfection byproducts (DBPs) can disrupt thyroid function; however, human epidemiological evidence remains limited. The existing studies focus on a limited number of compounds and lack detailed investiga...

Continuous tobacco smoking increases mortality in diffuse large B-cell lymphoma but not follicular lymphoma, a Finnish population-based study.

Acta oncologica (Stockholm, Sweden)
BACKGROUND AND PURPOSE: Tobacco smoking was prognostic in B-cell lymphomas in the pre-rituximab era, but the association with modern treatment, stage, subtypes, and survival outcomes remains unclear. Patient/material and methods: All patients with di...

TC check: a web app for thyroid cancer recurrence prediction using explainable machine learning.

Journal of cancer research and clinical oncology
BACKGROUND: Thyroid cancer (TC) is one of the most prevalent endocrine malignancies, and its recurrence presents a major clinical challenge that can adversely affect patient prognosis and treatment outcomes. Despite the progress in diagnostic methods...