AIMC Topic: Algorithms

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Normal Pressure Hydrocephalus Classification using Weakly-Supervised Local Feature Extraction.

Computers in biology and medicine Jul 23, 2025
Normal Pressure Hydrocephalus (NPH) presents diagnostic challenges because its symptoms often overlap with other neurological conditions. A key radiological NPH indicator is ventricular cerebrospinal fluid (CSF) volume, assessed by neuroradiologists ...
Humans Algorithms Magnetic Resonance Imaging Brain Supervised Machine Learning Hydrocephalus, Normal Pressure Female Aged Male
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Volumetric imaging and computation to explore contractile function in zebrafish hearts.

Cell reports methods Jul 23, 2025
Novel insights into cardiac contractile dysfunction at the cellular level could deepen understanding of arrhythmia and heart injury, which are leading causes of morbidity and mortality worldwide. We present a comprehensive experimental and computatio...
Zebrafish Myocardial Contraction Algorithms Animals Heart
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An explainable transformer model for Alzheimer's disease detection using retinal imaging.

Scientific reports Jul 23, 2025
Alzheimer's disease (AD) is a neurodegenerative disorder that affects millions worldwide. In the absence of effective treatment options, early diagnosis is crucial for initiating management strategies to delay disease onset and slow down its progress...
Retina Alzheimer Disease Artificial Intelligence Aged Algorithms Humans Female Male Image Processing, Computer-Assisted
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Diabetes diagnosis using a hybrid CNN LSTM MLP ensemble.

Scientific reports Jul 23, 2025
Diabetes is a chronic condition brought on by either an inability to use insulin effectively or a lack of insulin produced by the body. If left untreated, this illness can be lethal to a person. Diabetes can be treated and a good life can be led with...
Deep Learning Diabetes Mellitus Humans Neural Networks, Computer Algorithms
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Machine learning driven diabetes care using predictive-prescriptive analytics for personalized medication prescription.

Scientific reports Jul 23, 2025
The increasing prevalence of type 2 diabetes (T2D) is a significant health concern worldwide. Effective and personalized treatment strategies are essential for improving patient outcomes and reducing healthcare costs. Machine learning (ML) has the po...
Humans Machine Learning Algorithms Middle Aged Decision Support Systems, Clinical Diabetes Mellitus, Type 2 United States Hypoglycemic Agents Bayes Theorem Female Aged Male Precision Medicine Electronic Health Records Drug Prescriptions
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Quantum Oncology: The Applications of Quantum Computing in Cancer Research.

Journal of medical systems Jul 23, 2025
A global technological race is underway to develop increasingly powerful and precise quantum computers. As a transformative computing paradigm, quantum computing offers the potential for exponentially accelerating specific algorithms, thereby providi...
Humans Algorithms Biomedical Research Neoplasms Quantum Theory Medical Oncology
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Tackling inter-subject variability in smartwatch data using factorization models.

Scientific reports Jul 23, 2025
Smartwatches enable longitudinal and continuous data acquisition. This has the potential to remotely monitor (changes) of the health of users. However, differences among subjects (inter-subject variability) limit a model to generalize to unseen subje...
Humans Algorithms Female Heart Rate Sleep Wearable Electronic Devices Monitoring, Physiologic Oxygen Saturation Adult Male
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Development and validation of an improved volumetric breast density estimation model using the ResNet technique.

Biomedical physics & engineering express Jul 23, 2025
. Temporal changes in volumetric breast density (VBD) may serve as prognostic biomarkers for predicting the risk of future breast cancer development. However, accurately measuring VBD from archived x-ray mammograms remains challenging. In a previous ...
Breast Aged Breast Density Adult Breast Neoplasms Humans Algorithms Image Processing, Computer-Assisted Machine Learning Middle Aged Female Mammography Deep Learning Reproducibility of Results
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Federated fault diagnosis method for collaborative self-diagnosis and cross-robot peer diagnosis.

PloS one Jul 23, 2025
In multi-robot collaboration, individual failures can propagate to other robots due to the topological coupling between them. Existing fault diagnosis models are designed for single robots and fail to meet the practical requirements of multi-robot sc...
Robotics Cooperative Behavior Machine Learning Algorithms Models, Theoretical Humans
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Physically-constrained evapotranspiration models with machine learning parameterization outperform pure machine learning: Critical role of domain knowledge.

PloS one Jul 23, 2025
Physics-informed machine learning techniques have emerged to tackle challenges inherent in pure machine learning (ML) approaches. One such technique, the hybrid approach, has been introduced to estimate terrestrial evapotranspiration (ET), a crucial ...
Models, Theoretical Plant Transpiration Machine Learning Algorithms Water
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