AIMC Topic: Humans

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Automated Multimodal Image Registration for Prostate Cancer Using Squeeze-and-Excitation ResNet with Thin Plate Spline Transformation: A Deep Learning Approach.

Medical science monitor : international medical journal of experimental and clinical research
BACKGROUND Accurate spatial correlation between preoperative prostate MRI and post-prostatectomy histopathology is critical for improving prostate cancer diagnosis, treatment planning, and MRI interpretation. Current manual registration methods are t...

Unveiling manganese metabolism-related biomarkers in Alzheimer's disease: Insights into diagnosis and therapeutic targets.

Clinica chimica acta; international journal of clinical chemistry
BACKGROUND: Alzheimer's disease (AD), a neurodegenerative disorder with multifactorial etiologies, has been closely associated with disturbances in manganese metabolism. However, its specific biomarkers remain insufficiently characterized. This study...

An Explainable 3D-Deep Learning Model for EEG Decoding in Brain-Computer Interface Applications.

International journal of neural systems
Decoding electroencephalographic (EEG) signals is of key importance in the development of brain-computer interface (BCI) systems. However, high inter-subject variability in EEG signals requires user-specific calibration, which can be time-consuming a...

Vibration-Assisted Magnetic (VibroMag) Cell Separation for Robotic Liquid Handling Platforms.

Analytical chemistry
Cell separation is a critical step in many assays in biomedical research, diagnostics, and drug development. Here, we developed VibroMag, a vibration-assisted magnetic cell separation technology specifically designed for automated processing of stand...

A machine learning framework for classifying lipids in untargeted metabolomics using mass-to-charge ratios and retention times.

Metabolomics : Official journal of the Metabolomic Society
INTRODUCTION: The identification of unknown metabolites remains a major challenge in untargeted metabolomics using liquid chromatography-mass spectrometry (LC-MS). This process typically depends on comparing mass spectral or chromatographic data to r...

Exploring the role of cytochrome P450 family 1 subfamily B member 1 and quercetin in modulating neuropathic pain after spinal cord injury.

Molecular medicine reports
Spinal cord injury (SCI) represents a notable global health challenge, with neuropathic pain (NP) being a common complication that intensifies patient suffering. Existing research tends to overlook the temporal aspects of NP and fails to offer target...

Single-Atom Nanozymes in Analytical Chemistry: Opportunities and Challenges.

Analytical chemistry
Single-atom nanozymes (SANs) represent a groundbreaking innovation in analytical chemistry, offering a new paradigm for molecular detection and environmental sensing. Due to their unique atomic-level dispersion, SANs exhibit superior catalytic activi...

Germline-aware deep learning models and benchmarks for predicting antibody VH-VL pairing.

mAbs
Variable heavy (VH) and variable light (VL) chain pairing is a critical determinant of antibody diversity, stability, and antigen-binding specificity. Identifying productive VH - VL combinations experimentally is labor-intensive and costly, motivatin...

Applying spectral analysis to the arterial pulse to discriminate cardiovascular side effects following administration of Moderna's mRNA-1273 vaccine.

European journal of pharmacology
Vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have demonstrated strong efficacy in preventing symptomatic disease, but adverse cardiovascular side effects have been reported. This study investigated whether noninvasive...

Artificial Intelligence-Assisted Low-Dose High Atomic Number Contrast Agent for Ultrahigh-Resolution Computed Tomography Angiography.

ACS nano
Achieving high resolution while minimizing contrast agent dosage remains a key goal, yet a major challenge in contrast-enhanced computed tomography (CT) imaging. Herein, we propose an artificial intelligence-assisted low-dose high atomic number contr...