AIMC Topic: Humans

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Advancements in the investigation of the mechanisms underlying cognitive aging.

Biogerontology
Cognitive aging, a pivotal domain at the intersection of neuroscience and psychology, exhibits a strong association with neurodegenerative disorders; however, its comprehensive underlying mechanisms remain incompletely elucidated. This review aims to...

StarVasc: hyper-dimensional and spectral feature expansion for lightweight vascular enhancement.

Journal of robotic surgery
Vascular contrast enhancement is crucial for early disease diagnosis and surgical precision in robotic surgery imaging. Traditional white-light imaging often fails to distinguish blood vessels due to the spectral similarity between vessels and surrou...

Multi-omics insights of immune cells in the risk and prognosis of idiopathic membranous nephropathy.

Communications biology
Idiopathic membranous nephropathy (IMN) is the major cause of autoimmune-related nephrotic syndrome. The role immune cells play in the risk and prognosis of IMN remains elusive. We employ multi-omics data and a variety of approaches to evaluate the c...

Machine learning pipeline with custom grid search for colorectal Raman spectroscopy data.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Colorectal cancer remains a major health burden, and its early detection is crucial for effective treatment. This study investigates the use of a handheld Raman spectrometer in combination with machine learning to classify colorectal tissue samples c...

Deep Learning-aided H-MR Spectroscopy for Differentiating between Patients with and without Hepatocellular Carcinoma.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
PURPOSE: Among patients with hepatitis B virus-associated liver cirrhosis (HBV-LC), there may be differences in the hepatic parenchyma between those with and without hepatocellular carcinoma (HCC). Proton MR spectroscopy (H-MRS) is a well-established...

Omics-driven strategy develops a tumor biomarker-derived signature to forecast the occurrence and progression of heart failure.

International journal of cardiology
BACKGROUND: Tumor biomarkers have been implicated in heart failure (HF). This study aimed to explore the role of tumor biomarkers in the occurrence and progression of HF.

Emerging trends in NanoTheranostics: Integrating imaging and therapy for precision health care.

International journal of pharmaceutics
Nanotheranostics has garnered significant interest for its capacity to improve customized healthcare via targeted and efficient treatment alternatives. Nanotheranostics promises an innovative approach to precision medicine by integrating therapeutic ...

FGDN: A Federated Graph Convolutional Network framework for multi-site major depression disorder diagnosis.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
The vast amount of healthcare data is characterized by its diversity, dynamic nature, and large scale. It is a challenge that directly training a Graph Convolutional Neural Network (GCN) in a multi-site dataset poses to protecting the privacy of Majo...

Evaluating the effectiveness of intelligent interaction technology in autism interventions: A meta-analysis based on trial assessment.

Research in developmental disabilities
PURPOSE: This research aims to conduct a systematic review of the literature on the utilization of intelligent interaction technologies, including Extended Reality (XR) and robotic systems, within the context of autism interventions.

Evaluation of antiarrhythmia drug through QSPR modeling and multi criteria decision analysis.

Scientific reports
This study explores how topological indices (TIs), which are mathematical descriptors of a drug's molecular structure, can support to predict vital properties and biological activities. This understanding is a key for more effective drug design. We f...