AIMC Journal:
Scientific reports

Showing 1621 to 1630 of 5371 articles

Development of a prognostic model for NSCLC based on differential genes in tumour stem cells.

Scientific reports Sep 9, 2024
Non-small cell lung cancer (NSCLC) constitutes a significant portion of lung cancers and cytotoxic drugs (e.g. cisplatin) are currently the first-line treatment. However, NSCLC has developed resistance to this drug, which limits the therapeutic effec...
Lung Neoplasms Gene Expression Regulation, Neoplastic Prognosis Humans Neoplastic Stem Cells Machine Learning Biomarkers, Tumor Carcinoma, Non-Small-Cell Lung Gene Expression Profiling
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Training robust T1-weighted magnetic resonance imaging liver segmentation models using ensembles of datasets with different contrast protocols and liver disease etiologies.

Scientific reports Sep 9, 2024
Image segmentation of the liver is an important step in treatment planning for liver cancer. However, manual segmentation at a large scale is not practical, leading to increasing reliance on deep learning models to automatically segment the liver. Th...
Contrast Media Magnetic Resonance Imaging Liver Humans Liver Neoplasms Image Processing, Computer-Assisted Deep Learning Liver Diseases
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Bridging auditory perception and natural language processing with semantically informed deep neural networks.

Scientific reports Sep 9, 2024
Sound recognition is effortless for humans but poses a significant challenge for artificial hearing systems. Deep neural networks (DNNs), especially convolutional neural networks (CNNs), have recently surpassed traditional machine learning in sound c...
Semantics Auditory Perception Deep Learning Natural Language Processing Sound Humans Neural Networks, Computer
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Enhancing early Parkinson's disease detection through multimodal deep learning and explainable AI: insights from the PPMI database.

Scientific reports Sep 9, 2024
Parkinson's is the second most common neurodegenerative disease, affecting nearly 8.5M people and steadily increasing. In this research, Multimodal Deep Learning is investigated for the Prodromal stage detection of Parkinson's Disease (PD), combining...
Databases, Factual Brain Female Aged Male Middle Aged Humans Neural Networks, Computer Artificial Intelligence Early Diagnosis Deep Learning Magnetic Resonance Imaging Parkinson Disease
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Detection and quantification of groundnut oil adulteration with machine learning using a comparative approach with NIRS and UV-VIS.

Scientific reports Sep 9, 2024
Groundnut oil is known as a good source of essential fatty acids which are significant in the physiological development of the human body. It has a distinctive fragrant making it ideal for cooking which contribute to its demand on the market. However...
Food Contamination Machine Learning Principal Component Analysis Spectrophotometry, Ultraviolet Discriminant Analysis Spectroscopy, Near-Infrared Palm Oil Peanut Oil
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Accelerating segmentation of fossil CT scans through Deep Learning.

Scientific reports Sep 9, 2024
Recent developments in Deep Learning have opened the possibility for automated segmentation of large and highly detailed CT scan datasets of fossil material. However, previous methodologies have required large amounts of training data to reliably ext...
Fossils Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Tomography, X-Ray Computed Animals
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Leveraging deep learning and computer vision technologies to enhance management of coastal fisheries in the Pacific region.

Scientific reports Sep 8, 2024
This paper presents the design and development of a coastal fisheries monitoring system that harnesses artificial intelligence technologies. Application of the system across the Pacific region promises to revolutionize coastal fisheries management. T...
Conservation of Natural Resources Pacific Ocean Fisheries Artificial Intelligence Animals Ecosystem Deep Learning Fishes
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Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adults.

Scientific reports Sep 6, 2024
Progressive gait impairment is common among aging adults. Remote phenotyping of gait during daily living has the potential to quantify gait alterations and evaluate the effects of interventions that may prevent disability in the aging population. Her...
Humans Algorithms Female Middle Aged Wearable Electronic Devices Wrist Aged Aged, 80 and over Male Gait Activities of Daily Living Supervised Machine Learning Accelerometry
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Machine learning-based risk prediction model construction of difficult weaning in ICU patients with mechanical ventilation.

Scientific reports Sep 6, 2024
In intensive care unit (ICU) patients undergoing mechanical ventilation (MV), the occurrence of difficult weaning contributes to increased ventilator-related complications, prolonged hospitalization duration, and a significant rise in healthcare cost...
ROC Curve Ventilator Weaning Machine Learning Middle Aged Risk Factors Risk Assessment Intensive Care Units Aged Humans Respiration, Artificial Female Male
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A coordinated adaptive multiscale enhanced spatio-temporal fusion network for multi-lead electrocardiogram arrhythmia detection.

Scientific reports Sep 6, 2024
The multi-lead electrocardiogram (ECG) is widely utilized in clinical diagnosis and monitoring of cardiac conditions. The advancement of deep learning has led to the emergence of automated multi-lead ECG diagnostic networks, which have become essenti...
Humans Electrocardiography Signal Processing, Computer-Assisted Arrhythmias, Cardiac Neural Networks, Computer Algorithms Deep Learning
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