AIMC Topic: Humans

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Deep learning-based sex estimation of 3D hyoid bone models in a Croatian population using adapted PointNet++ network.

Scientific reports Jul 2, 2025
This study investigates a deep learning approach for sex estimation using 3D hyoid bone models derived from computed tomography (CT) scans of a Croatian population. We analyzed 202 hyoid samples (101 male, 101 female), converting CT-derived meshes in...
Hyoid Bone Sex Characteristics Sex Determination by Skeleton Male Middle Aged Female Humans Adult Tomography, X-Ray Computed Deep Learning Imaging, Three-Dimensional Croatia
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RareNet: a deep learning model for rare cancer diagnosis.

Scientific reports Jul 2, 2025
Although significant advances have been made in the early detection of many cancers, challenges remain in the early diagnosis of rare cancers, including Wilms tumor, Clear Cell Sarcoma of the Kidney, Neuroblastoma, Osteosarcoma, and Acute Myeloid Leu...
Rare Diseases Humans Deep Learning Neoplasms DNA Methylation
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Development of an electrical current stimulator for controlling biohybrid machines.

Scientific reports Jul 2, 2025
Soft and flexible robotics is an emerging field that attracts a huge interest due to its ability to produce bioinspired devices that are easily adaptable to the environment. Biohybrid Machines (BHM) represent a category of soft robots that integrate ...
Muscle Contraction Electric Stimulation Electricity Robotics Equipment Design Humans Animals
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Comprehensive machine learning analysis of PANoptosis signatures in multiple myeloma identifies prognostic and immunotherapy biomarkers.

Scientific reports Jul 2, 2025
PANoptosis is closely associated with tumorigenesis and therapeutic response, yet its role in multiple myeloma (MM) remains unclear. This study analyzed bulk transcriptomic and clinical data from the TCGA and GEO databases to identify seven PANoptosi...
Humans Machine Learning Female Biomarkers, Tumor Prognosis Multiple Myeloma Poly (ADP-Ribose) Polymerase-1 Transcriptome Male Immunotherapy Gene Expression Profiling Gene Expression Regulation, Neoplastic
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Multi channel fusion diffusion models for brain tumor MRI data augmentation.

Scientific reports Jul 2, 2025
The early diagnosis of brain tumors is crucial for patient prognosis, and medical imaging techniques such as MRI and CT scans are essential tools for diagnosing brain tumors. However, high-quality medical image data for brain tumors is often scarce a...
Diffusion Magnetic Resonance Imaging Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Algorithms Brain Neoplasms Humans
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Classifying and diagnosing Alzheimer's disease with deep learning using 6735 brain MRI images.

Scientific reports Jul 2, 2025
Traditional diagnostic methods for Alzheimer's disease often suffer from low accuracy and lengthy processing times, delaying crucial interventions and patient care. Deep convolutional neural networks trained on MRI data can enhance diagnostic precisi...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Aged Male Alzheimer Disease Humans Brain Female Neural Networks, Computer
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A big data driven multilevel deep learning framework for predicting terrorist attacks.

Scientific reports Jul 2, 2025
In recent years, terrorism has increasingly threatened human security, causing violence, fear, and damage to both the general public and specific targets. These attacks create unrest among individuals and within society. Leveraging the recent advance...
Forecasting Deep Learning Big Data Humans Terrorism
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Channel attention pyramid network for remote physiological measurement.

Scientific reports Jul 2, 2025
Remote photoplethysmography (rPPG) is an emerging contactless physiological parameter detection method utilizing cameras, showing great promise as a forefront technology for remote health assessment. While traditional rPPG methods have substantially ...
Video Recording Deep Learning Photoplethysmography Monitoring, Physiologic Humans
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Multi-scale fusion semantic enhancement network for medical image segmentation.

Scientific reports Jul 2, 2025
The application of sophisticated computer vision techniques for medical image segmentation (MIS) plays a vital role in clinical diagnosis and treatment. Although Transformer-based models are effective at capturing global context, they are often ineff...
Semantics Humans Algorithms Neural Networks, Computer Image Processing, Computer-Assisted
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Cervical cancer prediction using machine learning models based on routine blood analysis.

Scientific reports Jul 2, 2025
Cervical cancer (CC) is the fourth most common cancer among women globally. The key to preventing and treating CC is early detection, diagnosis, and treatment. This study aimed to develop an interpretable model for predicting CC risk using routine bl...
Machine Learning Algorithms Retrospective Studies Humans Adult Uterine Cervical Neoplasms Middle Aged Female Aged
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