AI Medical Compendium

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

AI-driven multi-omics drug repurposing nominates AZD7762 as a multitarget inhibitor of IL22RA1 and FAM221A in esophageal squamous cell carcinoma.

NPJ precision oncology May 26, 2026

Esophageal squamous cell carcinoma (ESCC) is an aggressive malignancy with limited targeted treatment options and poor clinical outcomes. We developed an AI-driven multi-omics pipeline that links prognostic modeling to multitarget drug repurposing fo... read more

MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning in the NISQ Era.

Scientific data May 26, 2026

We introduce MNISQ, the first large-scale dataset for both quantum and classical machine learning during the NISQ era, containing 4.95 million circuits of 10 qubits constructed with up to 100 two-qubit gates. MNISQ serves as a foundational resource f... read more

Improving multimodal wearable sensing for healthcare with artificial intelligence.

Nature biotechnology May 26, 2026

Artificial Intelligence Medical Compendium

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.

AI-driven multi-omics drug repurposing nominates AZD7762 as a multitarget inhibitor of IL22RA1 and FAM221A in esophageal squamous cell carcinoma.

MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning in the NISQ Era.

Improving multimodal wearable sensing for healthcare with artificial intelligence.

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