AIMC Topic: Humans

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FSF-ViT: Image augmentation and adaptive global-local feature fusion for Few-Shot Food classification.

Food chemistry
We proposed FSF-ViT, a Vision Transformer (ViT)-based model integrating image augmentation and adaptive global-local feature fusion, for Few-Shot Food (FSF) classification. The proposed method focused on training with limited food images to reduce da...

Engineered nanomaterials and macrophages: Toxicity mechanisms and protective strategies.

International immunopharmacology
Engineered nanomaterials (ENMs) have gained extensive applications across diverse fields, yet their potential cytotoxicity, particularly toward the immune system, raises significant safety concerns. As critical sentinels of innate immunity, macrophag...

Artificial Intelligence in Perioperative Medication-Related Clinical Decision Support.

Anesthesiology clinics
Medication errors in the operating room (OR) are common and have considerable potential for harm. While not yet widely used in the OR, clinical decision support (CDS) has been shown to prevent medication errors outside of the OR and has the potential...

Repositioning Radiation Oncology at the centre of integrated oncology care: A manifesto of the European Society for Radiotherapy and Oncology (ESTRO).

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Modern oncology increasingly relies on integrated, multimodality care, yet radiation oncology remains undervalued in strategic frameworks despite its central therapeutic role. This ESTRO manifesto calls for a repositioning of radiation oncology as a ...

AZGP1: A proteomic biomarker in cancer.

Clinica chimica acta; international journal of clinical chemistry
Alpha-2-glycoprotein 1, zinc-binding (AZGP1), functions as a serum AZGP1 biomarker with applications in cancer detection, prognosis, and therapeutic monitoring. This review evaluates AZGP1's analytical performance and clinical utility in multiple mal...

MTA-Net: Multi-scale triplet attention-aware network for multiclass skin lesion classification.

Computers in biology and medicine
Multiclass classification of skin lesions plays a crucial role in computer-aided skin cancer diagnosis and still remains challenging due to the high similarity between different classes and large variations within the same classes. Additionally, the ...

Comparative machine learning analysis for predicting organ tropism in breast cancer and identifying key gene signatures.

Computers in biology and medicine
BACKGROUND: Breast cancer metastasis (BCM) metastasizes preferentially to certain organs. Important genetic markers can be used for early detection and treatment. Machine learning (ML) can efficiently handle gene expression data to enhance metastasis...

A preprocessing method based on 3D U-Net for abdomen segmentation.

Computers in biology and medicine
Deep learning methods have made significant progress in the field of biomedical automatic segmentation but still open to developments, especially due to the insufficient use of preprocessing methods. In this study, a pre-processing step is proposed b...

Distribution mapping and risk assessment of lead in topsoil across the Tibetan Plateau.

Ecotoxicology and environmental safety
Lead exposure poses substantial long-term health risks, accounting for over 900,000 annual deaths worldwide and impairing cognitive development in more than 800 million children. Recent studies have indicated elevated soil lead contamination levels o...