AI Medical Compendium

Uncertainty quantification-based DMEFNet for reliable modelling of heart sound signals.

Scientific reports May 26, 2026

Phonocardiogram (PCG) analysis is an inexpensive and non-invasive technique for the automatic diagnosis of heart valve diseases. In the clinical domain, PCG recordings are typically corrupted by noise, inter-subject variability, and overlapping signa... read more

Decoding variants of uncertain significance in systemic autoinflammatory diseases.

Nature reviews. Rheumatology May 26, 2026

The development and implementation of genetic testing has revolutionized the diagnostic landscape of autoinflammatory diseases, leading to an exponential increase in the identification of disease-associated genetic variants. Yet a substantial proport... read more

Metaheuristic machine learning based factor of safety prediction of MSE walls.

Scientific reports May 26, 2026

Mechanically stabilized earth (MSE) walls are widely used earth-retaining structures, and their stability depends on soil-structure interaction, wall height, and the number of reinforcement layers. A 6 m high MSE wall with concrete facing panels was ... read more

High-risk pregnancy prediction using Taguchi-optimized machine learning methods and TOPSIS-based model selection.

Scientific reports May 26, 2026

High-risk pregnancies pose a major challenge in maternal and neonatal healthcare, defined as conditions where medical, social, or obstetric factors threaten the health of the mother or fetus. Traditional clinical tools often overlook individual compl... read more

A novel intrusion detection system for IIoT in 5G networks using attention-augmented federated learning and lightweight transformer architectures.

Scientific reports May 26, 2026

The swift proliferation of Industrial Internet of Things (IIoT) devices within 5G networks has intensified cybersecurity vulnerabilities owing to their limited processing capabilities and fluctuating network conditions. This work presents an innovati... read more

Research on a long-haul transmission-line distributed vibration signal denoising method based on dual-fiber sensing and weakly supervised learning.

Scientific reports May 26, 2026

Long-haul distributed fiber-optic vibration monitoring for overhead transmission lines enables continuous sensing along the entire corridor. However, as the sensing distance increases, signal attenuation and the accumulation of environmental/system n... read more

Enhancing healthcare information security through VAE-driven anomaly detection in EHR access patterns.

Scientific reports May 26, 2026

HIPAA breaches and unauthorized access to Electronic Health Records (EHRs) have been growing more likely due to the sudden digitalization of the healthcare sector. High endurance, privacy-based security practices have never been more in demand as hos... read more

Membrane bridges and nanodomain partitioning govern membrane protein targeting to lipid droplets.

Nature cell biology May 26, 2026

Numerous metabolic enzymes translocate from the endoplasmic reticulum (ER) membrane bilayer to the lipid droplet (LD) monolayer, where they perform essential functions. Mislocalization of certain LD-targeted membrane proteins, including HSD17B13 and ... read more

Prediction of antimicrobial minimum inhibitory concentration from bacterial genomes using a scalable and interpretable machine learning approach.

npj antimicrobials and resistance May 26, 2026

Although machine learning models can predict antimicrobial susceptibility from bacterial whole genome sequencing (WGS), state-of-the-art approaches are computationally demanding or dependent on knowledge of genetic resistance determinants. Here, we d... read more

Robots run this laboratory in Japan - and are changing how scientists work.

Nature May 26, 2026

Artificial Intelligence Medical Compendium

Uncertainty quantification-based DMEFNet for reliable modelling of heart sound signals.

Decoding variants of uncertain significance in systemic autoinflammatory diseases.

Metaheuristic machine learning based factor of safety prediction of MSE walls.

High-risk pregnancy prediction using Taguchi-optimized machine learning methods and TOPSIS-based model selection.

A novel intrusion detection system for IIoT in 5G networks using attention-augmented federated learning and lightweight transformer architectures.

Research on a long-haul transmission-line distributed vibration signal denoising method based on dual-fiber sensing and weakly supervised learning.

Enhancing healthcare information security through VAE-driven anomaly detection in EHR access patterns.

Membrane bridges and nanodomain partitioning govern membrane protein targeting to lipid droplets.

Prediction of antimicrobial minimum inhibitory concentration from bacterial genomes using a scalable and interpretable machine learning approach.

Robots run this laboratory in Japan - and are changing how scientists work.

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