AI Medical Compendium

Neuro-Adaptive Integral Sliding-Mode Consensus Control for Multi-ASVs With Unknown Nonlinearity via Dissipative Disturbance Estimation.

IEEE transactions on cybernetics May 14, 2026

This article investigates a dissipative disturbance-estimator (DDE)-based neuro-adaptive integral sliding-mode control (ISMC) for multiple autonomous surface vehicles (ASVs) subject to unknown nonlinearities and mismatched external disturbances. A me... read more

Mobility Function and Aperiodic Electrocortical Activity in Younger and Older Adults.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 14, 2026

Mobility declines with age to the extent that walking speed is often considered a vital sign. Identifying electrocortical changes behind this decline would aid with early identification and intervention. Electroencephalography (EEG) metrics may provi... read more

Review of Current Advances in Ultrasound Computed Tomography for Medical Imaging.

IEEE reviews in biomedical engineering May 14, 2026

Ultrasound Computed Tomography (USCT) represents a paradigm shift in medical imaging, offering quantitative, high-resolution tissue characterization for diverse anatomical regions including breast, musculoskeletal system, brain, and lungs. By capturi... read more

Gaussian Adaptive Patching Powered Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data.

IEEE transactions on pattern analysis and machine intelligence May 14, 2026

Multivariate Time-Series (MTS) data is crucial across diverse domains. With its sequential and multi-source (e.g., sensors) properties, MTS data inherently exhibits Spatial-Temporal (ST) dependencies, involving temporal correlations over time and spa... read more

Robust CRISPR-Cas Protein Identification using Max-Margin Regularized Transformer Models.

IEEE transactions on computational biology and bioinformatics May 14, 2026

The discovery of CRISPR-Cas system has significantly advanced genome editing, offering vast applications in medical treatments and life sciences research. Despite their immense potential, the existing CRISPR-Cas systems still face challenges concerni... read more

Physics-Informed Neural Operators for Signal Modeling in Particle-based Communications.

IEEE transactions on nanobioscience May 14, 2026

Data-driven channel models often require extensive simulation data and capture only limited statistics of the underlying physical process. To address these limitations in diffusion-based particle signaling, we build upon physics-informed machine lear... read more

Engineered Biocatalytic Strategies for Pesticide Degradation in Food Systems: From Catalytic Performance to Practical Applications.

Journal of agricultural and food chemistry May 14, 2026

Pesticide residues remain a persistent challenge for food safety under realistic processing and storage conditions. Enzymatic degradation has emerged as a promising food-compatible strategy because of its high selectivity and mild operating condition... read more

How to Enhance the Learning of Veterinary Anatomy by Drawing?

Journal of veterinary medical education May 14, 2026

The disappearance of spontaneous student-generated drawings in examinations induced us to start developing anatomical drawing tasks that would be useful learning aids in veterinary medical education. Through a series of drawing workshops, we aimed to... read more

Tracking Byproducts Lithium Methoxide in Li-Ion Batteries via Interface-Stabilized Perovskite Quantum Dots-Based Sensors.

ACS sensors May 14, 2026

Monitoring internal electrolyte decomposition byproducts is pivotal for the early warning of thermal runaway in lithium-ion batteries yet remains a formidable challenge due to the harsh chemical environment. Herein, we engineer a robust electrochemic... read more

From Flow to Feature Using a Proof-of-Concept Spectral-Driven Machine Learning Approach Using Smart Urinary and Drainage Catheter Systems: Algorithm Development and Validation.

JMIR medical informatics May 14, 2026

BACKGROUND: Current urinary and drainage catheter systems collect fluids for visual inspection or manual sampling, offering limited diagnostic value while being labor-intensive and prone to error. Machine learning (ML) has the potential to automate t... read more

Artificial Intelligence Medical Compendium