AIMC Topic: Algorithms

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Unlocking the soundscape of coral reefs with artificial intelligence: pretrained networks and unsupervised learning win out.

PLoS computational biology
Passive acoustic monitoring can offer insights into the state of coral reef ecosystems at low-costs and over extended temporal periods. Comparison of whole soundscape properties can rapidly deliver broad insights from acoustic data, in contrast to de...

Artificial intelligence-based assessment of imaging biomarkers in epiretinal membrane surgery.

European journal of ophthalmology
PurposeThis study investigated the applicability of a validated AI-algorithm for analyzing different retinal biomarkers in eyes affected by epiretinal membranes (ERMs) before and after surgery.MethodsA retrospective study included 40 patients surgica...

MWTP: A heterogeneous multiplex representation learning framework for link prediction of weak ties.

Neural networks : the official journal of the International Neural Network Society
Weak ties that bridge different communities are crucial for preserving global connectivity, enhancing resilience, and maintaining functionality and dynamics of complex networks, However, making accurate link predictions for weak ties remain challengi...

Spectral integrated neural networks with large time steps for 2D and 3D transient elastodynamic analysis.

Neural networks : the official journal of the International Neural Network Society
This paper provides a neural network architecture, called spectral integrated neural networks (SINNs), designed to tackle two- and three-dimensional elastodynamic problems. In the SINNs, the second-order time derivatives of displacements are approxim...

A novel diagnosis method utilizing MDBO-SVM and imaging genetics for Alzheimer's disease.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Alzheimer's disease (AD) is the most common neurodegenerative disorder, yet its underlying mechanisms remain elusive. Early and accurate diagnosis is crucial for timely intervention and disease management. In this paper, a multi-strategy improved dun...

CUAMT: A MRI semi-supervised medical image segmentation framework based on contextual information and mixed uncertainty.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Semi-supervised medical image segmentation is a class of machine learning paradigms for segmentation model training and inference using both labeled and unlabeled medical images, which can effectively reduce the data labelin...

ExpoPath: A method for identifying and annotating exposure pathways from chemical co-occurrence networks.

The Science of the total environment
Improving risk evaluation for environmental and human health is of paramount concern for the U.S. Environmental Protection Agency (EPA). This includes the identification and assessment of chemical transport from commercial and industrial sources to e...

Machine Learning-Enhanced Optimization for High-Throughput Precision in Cellular Droplet Bioprinting.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Organoids produce through traditional manual pipetting methods face challenges such as labor-intensive procedures and batch-to-batch variability in quality. To ensure consistent organoid production, 3D bioprinting platforms offer a more efficient alt...

Utilizing machine learning for predicting mortality in patients with heat-related illness who visited the emergency department.

International journal of medical informatics
BACKGROUND: In the context of climate change and global warming, heat-related illness (HRI) is anticipated to escalate and become a major concern. Patients with severe HRI primarily present to the emergency department (ED), but there are no predictio...

Integrating attention networks into a hybrid model for HER2 status prediction in breast cancer.

Biochemical and biophysical research communications
Breast cancer is one of the most prevalent cancers amongst women, caused by uncontrolled cell growth in breast tissue. Human Epidermal growth factor Receptor 2 (HER2) proteins play a vital role in regulating normal breast cell development and divisio...