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Peripersonal and extrapersonal space encoding in virtual reality: Insights from an fMRI study.

NeuroImage
The brain processes objects in reachable peripersonal space and non-reachable extrapersonal space in different neural networks. In contrast to extrapersonal space, spatial processing in peripersonal space is linked to the activation of affordances in...

Creatine kinase in prostate cancer: A biosensor-driven diagnostic paradigm.

Clinica chimica acta; international journal of clinical chemistry
BACKGROUND: Prostate cancer (PC) remains a leading cause of cancer-related morbidity in men worldwide. Emerging evidence suggests that the brain-type creatine kinase isoenzyme (CK-BB) is overexpressed in PC tissue and correlates with tumor progressio...

Machine learning driven prediction of drug efficacy in lung cancer: based on protein biomarkers and clinical features.

Life sciences
Currently, chemotherapy drugs are the first-line treatment for lung cancer patients, and evaluating their efficacy is of utmost significance. However, assessing the clinical efficacy of chemotherapy drugs remains a challenging task. In recent years, ...

Machine learning methods for sex estimation of sub-adults using cranial computed tomography images.

Anthropologischer Anzeiger; Bericht uber die biologisch-anthropologische Literatur
This research aimed to compare the classification accuracy of three machine learning (ML) methods (random forest (RF), support vector machines (SVM), linear discriminant analysis (LDA)) for sex estimation of sub-adults using cranial computed tomograp...

ML-STIM: Machine Learning for SubThalamic nucleus Intraoperative Mapping.

Journal of neural engineering
Deep Brain Stimulation (DBS) of the SubThalamic Nucleus (STN) is effective in alleviating motor symptoms in medication-refractory patients with Parkinson's Disease (PD). Intraoperative identification of the STN relies on MicroElectrode Recordings (ME...

The oral microbiome and its effect on exhaled breath volatile analysis-the elephant in the room.

Journal of breath research
The rapid transfer of volatiles from alveolar blood into the lungs and then out of the body in exhaled breath leads to the common and natural conclusion that these volatiles provide information on health and metabolic processes, with considerable pot...

Machine learning in diagnosing coronary artery disease via optical pumped magnetometer magnetocardiography: a prospective cohort study.

Physiological measurement
The potential of optical pumped magnetometer magnetocardiography (OPM-MCG) for diagnosing coronary artery disease (CAD) has been initially shown, yet lacks large-scale prospective research.Using invasive coronary angiography (ICA) as a reference, we ...

Tumor-Intrinsic and Microenvironmental Determinants of Impaired Antitumor Immunity in Chromophobe Renal Cell Carcinoma.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology
PURPOSE: While immune checkpoint inhibition (ICI) has transformed the management of many advanced renal cell carcinomas (RCCs), the determinants of effective antitumor immunity for chromophobe RCC (ChRCC) and renal oncocytic tumors remain an unmet cl...

Fractal analysis for cognitive impairment classification in DAVF using machine learning.

Biomedical physics & engineering express
. Intracranial dural arteriovenous fistula (DAVF) is an acquired vascular condition involving abnormal connections between dural arteries and veins without intervening capillary beds. Cognitive impairment is a common symptom in DAVFs, often linked to...

Factors Shaping Healthcare Professionals' Perceptions of AI in Saudi Arabia: A Cross-Sectional Study.

Studies in health technology and informatics
The successful adoption of artificial intelligence (AI) in healthcare relies on healthcare professionals' perceptions of its usefulness and their preparedness to integrate it into their practice. This study explores factors influencing these percepti...