AI Medical Compendium

Site-specific post-translational modification detection by polar charged engineered MspA nanopores.

Chemical science May 13, 2026

Deciphering the complex chemical code of post-translational modifications (PTMs) is fundamental to proteomics but remains challenging due to the low abundance of modified proteins and the difficulty in resolving isobaric positional isomers. Conventio... read more

Identification of drug candidates against glioblastoma with machine learning and high-throughput screening of heterogeneous cellular models.

Digital discovery May 13, 2026

Glioblastoma multiforme (GBM) is an aggressive primary brain tumour that presents significant treatment challenges due to its complex pathology and heterogeneity. The lack of validated molecular targets is a major obstacle for discovering new therape... read more

Blood biomarker trajectories in ICU-directed prediction models - A scoping review.

The EPMA journal May 13, 2026

BACKGROUND: Despite advanced analytical methods and increasing data availability, most intensive care unit (ICU) prediction models rely on static measurements. However, longitudinal monitoring of biomarkers may better capture disease progression and ... read more

Magnetically-driven deployable structure inspired by worms.

Bioinspiration & biomimetics May 13, 2026

This study investigates the protrusion mechanism of the unsegmented marine wormPhascolosoma stephensonito inspire new actuation strategies for soft robotics. A magnetically driven, soft fluidic transmission mechanism is developed to deploy a probosci... read more

Dynamic brain states and molecular signatures in primary angle-closure glaucoma.

Neuroreport May 13, 2026

BACKGROUND: Primary angle-closure glaucoma (PACG) has traditionally been regarded as an ocular disorder, but accumulating evidence suggests broader central nervous system involvement. Although previous neuroimaging studies have identified static func... read more

TF-MCL: Time-frequency fusion and multi-domain cross-loss for self-supervised depression detection.

Biomedical physics & engineering express May 13, 2026

In recent years, there has been a notable increase in the use of supervised detection methods of major depressive disorder (MDD) based on electroencephalogram (EEG) signals. However, the process of labeling MDD remains challenging. As a self-supervis... read more

Prediction of transient hypocalcemia following total thyroidectomy using machine learning methods.

Current problems in surgery May 13, 2026

Comparing the Use of Measured and Smoothed Data in Forecasting Visual Field Tests Using Deep Learning.

Ophthalmology science May 12, 2026

OBJECTIVE: To evaluate the impact of training and testing deep learning (DL) models for visual field (VF) forecasting using input-target pairs in which the target is either the measured VF test result, or its smoothed counterpart constructed via line... read more

When artificial intelligence learns to abstain: towards clinically responsible diagnostic support in liver pathology.

Annals of oncology : official journal of the European Society for Medical Oncology May 12, 2026

Causal Fairness for Survival Analysis

arXiv May 12, 2026

In the data-driven era, large-scale datasets are routinely collected and analyzed using machine learning (ML) and artificial intelligence (AI) to inform decisions in high-stakes domains such as healthcare, employment, and criminal justice, raising co... read more

Machine Learning cs.AI stat.AP stat.ML

Artificial Intelligence Medical Compendium