AIMC Journal:
Scientific reports

Showing 2201 to 2210 of 6055 articles

Pattern recognition using spiking antiferromagnetic neurons.

Scientific reports Sep 27, 2024
Spintronic devices offer a promising avenue for the development of nanoscale, energy-efficient artificial neurons for neuromorphic computing. It has previously been shown that with antiferromagnetic (AFM) oscillators, ultra-fast spiking artificial ne...
Algorithms Models, Neurological Action Potentials Neurons Humans Neural Networks, Computer Pattern Recognition, Automated Machine Learning
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Predictive modeling of arginine vasopressin deficiency after transsphenoidal pituitary adenoma resection by using multiple machine learning algorithms.

Scientific reports Sep 27, 2024
This study aimed to predict arginine vasopressin deficiency (AVP-D) following transsphenoidal pituitary adenoma surgery using machine learning algorithms. We reviewed 452 cases from December 2013 to December 2023, analyzing clinical and imaging data....
Middle Aged Humans Postoperative Complications Retrospective Studies Adenoma Decision Trees Aged Machine Learning Female Pituitary Neoplasms Algorithms Arginine Vasopressin Adult Male
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Developing machine learning models for personalized treatment strategies in early breast cancer patients undergoing neoadjuvant systemic therapy based on SEER database.

Scientific reports Sep 27, 2024
This study aimed to compare the long-term outcomes of breast-conserving surgery plus radiotherapy (BCS + RT) and mastectomy in early breast cancer (EBC) patients who received neoadjuvant systemic therapy (NST), and sought to construct and authenticat...
SEER Program Mastectomy, Segmental Middle Aged Neoadjuvant Therapy Aged Humans Mastectomy Prognosis Adult Female Breast Neoplasms Machine Learning Precision Medicine
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Machine learning predicts cuproptosis-related lncRNAs and survival in glioma patients.

Scientific reports Sep 27, 2024
Gliomas are the most common tumor in the central nervous system in adults, with glioblastoma (GBM) representing the most malignant form, while low-grade glioma (LGG) is a less severe. The prognosis for glioma remains poor even after various treatment...
Humans RNA, Long Noncoding Brain Neoplasms Prognosis Machine Learning Glioblastoma Gene Expression Regulation, Neoplastic Algorithms Biomarkers, Tumor Glioma
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Machine learning- a new paradigm in nanoparticle-mediated drug delivery to cancerous tissues through the human cardiovascular system enhanced by magnetic field.

Scientific reports Sep 27, 2024
Nanoparticle-mediated drug delivery offers a promising approach to targeted cancer therapy, leveraging the ability of nanoparticles to deliver therapeutic agents directly to cancerous tissues with minimal impact on surrounding healthy cells. The pres...
Nanoparticle Drug Delivery System Drug Delivery Systems Neoplasms Antineoplastic Agents Magnetic Fields Humans Cardiovascular System Machine Learning Hydrogen Peroxide Nanoparticles
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Deep-learning model accurately classifies multi-label lung ultrasound findings, enhancing diagnostic accuracy and inter-reader agreement.

Scientific reports Sep 27, 2024
Despite the increasing use of lung ultrasound (LUS) in the evaluation of respiratory disease, operators' competence constrains its effectiveness. We developed a deep-learning (DL) model for multi-label classification using LUS and validated its perfo...
Male Middle Aged Lung Lung Diseases Observer Variation Deep Learning Female Ultrasonography Aged Adult Humans Retrospective Studies
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Detection of cardiovascular disease cases using advanced tree-based machine learning algorithms.

Scientific reports Sep 27, 2024
Cardiovascular disease (CVD) can often lead to serious consequences such as death or disability. This study aims to identify a tree-based machine learning method with the best performance criteria for the detection of CVD. This study analyzed data co...
Female Aged Adult Male Humans Machine Learning Algorithms Decision Trees Cardiovascular Diseases Middle Aged ROC Curve
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A Data-Centric Approach to improve performance of deep learning models.

Scientific reports Sep 27, 2024
The Artificial Intelligence has evolved and is now associated with Deep Learning, driven by availability of vast amount of data and computing power. Traditionally, researchers have adopted a Model-Centric Approach, focusing on developing new algorith...
Humans Artificial Intelligence Algorithms Deep Learning
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Identification of immune patterns in idiopathic pulmonary fibrosis patients driven by PLA2G7-positive macrophages using an integrated machine learning survival framework.

Scientific reports Sep 27, 2024
Patients with advanced idiopathic pulmonary fibrosis (IPF), a complex and incurable lung disease with an elusive pathology, are nearly exclusive candidates for lung transplantation. Improved identification of patient subtypes can enhance early diagno...
Celecoxib Female Aged Male Middle Aged Humans Macrophages Single-Cell Analysis Molecular Docking Simulation Machine Learning Biomarkers Idiopathic Pulmonary Fibrosis Prognosis
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Impact of a deep learning-based brain CT interpretation algorithm on clinical decision-making for intracranial hemorrhage in the emergency department.

Scientific reports Sep 27, 2024
Intracranial hemorrhage is a critical emergency that requires prompt and accurate diagnosis in the emergency department (ED). Deep learning technology can assist in interpreting non-enhanced brain CT scans, but its real-world impact on clinical decis...
Brain Tomography, X-Ray Computed Clinical Decision-Making Female Deep Learning Emergency Service, Hospital Adult Humans ROC Curve Sensitivity and Specificity Algorithms Intracranial Hemorrhages Male
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