AIMC Topic: Machine Learning

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Fairness of machine learning readmission predictions following open ventral hernia repair.

Surgical endoscopy
INTRODUCTION: Few models have predicted readmission following open ventral hernia repair (VHR), and none have assessed fairness. Fairness evaluation assesses whether predictive performance is similar across demographic groups, ensuring that biases ar...

Machine Learning and DIA Proteomics Reveal New Insights into Carbapenem Resistance Mechanisms in .

Journal of proteome research
The emergence of Carbapenem-resistant (CRKP) represents a major public health concern, primarily driven by its ability to evade a wide range of antibiotics. Despite extensive genomic studies, proteomic insights into antibiotic resistance mechanisms ...

Enhancing Machine Learning Potentials through Transfer Learning across Chemical Elements.

Journal of chemical information and modeling
Machine learning potentials (MLPs) can enable simulations of ab initio accuracy at orders of magnitude lower computational cost. However, their effectiveness hinges on the availability of considerable data sets to ensure robust generalization across ...

Discrimination of Dengue Diseases in Children Using Surface-Enhanced Raman Spectroscopy Coupled with Machine Learning Approaches.

Analytical chemistry
This study introduces a novel approach to dengue diagnostics by leveraging surface-enhanced Raman spectroscopy (SERS) coupled to machine learning. This method addresses the critical need for rapid and accurate identification of dengue virus (DENV) in...

Dual-Mode SERS Lateral Flow Aptamer Assay with Machine Learning-Driven Highly Sensitive Interferon-γ Detection.

ACS synthetic biology
Interferon-γ (IFN-γ), a key pro-inflammatory cytokine, is widely recognized as a critical biomarker for diagnosing and monitoring various immune-related conditions. However, its typically low concentrations in biological fluids─at the picogram-per-mi...

Autonomous screening of infants at high risk for neurodevelopmental impairments using a radar sensor and machine learning.

Scientific reports
Neurodevelopmental impairments (NDIs) are significant long-term complications in preterm infants. While early recognition of infants at high risk for NDIs is essential for enabling timely intervention, it remains a challenging endeavor. Autonomous sc...

Machine learning identifies KRT8 dysregulation and endothelial remodeling in Moyamoya disease.

Scientific reports
Moyamoya disease (MMD) is a rare occlusive cerebrovascular disease, and its pathological mechanism remains unclear at present. The abnormal vascular remodeling may be involved in vascular endothelial cells. In this study, RNA seq was performed on the...

Identification and validation of glucocorticoid receptor and programmed cell death-related genes in spinal cord injury using machine learning.

Scientific reports
Spinal cord injury (SCI) is a severe neurological disorder, with glucocorticoids like methylprednisolone commonly used for treatment. However, their efficacy and risks remain controversial. Programmed cell death (PCD) mechanisms have been increasingl...

Fused federated learning framework for secure and decentralized patient monitoring in healthcare 5.0 using IoMT.

Scientific reports
Federated Learning (FL) enables artificial intelligence frameworks to train on private information without compromising privacy, which is especially useful in the medical and healthcare industries where the knowledge or data at hand is never enough. ...