AI Medical Compendium

Inferring preoperative cognitive function from intraoperative electroencephalography in elderly patients using machine learning.

IEEE transactions on bio-medical engineering Mar 6, 2026

To develop and evaluate machine learning (ML) models that infer preoperative cognitive function from intraoperative electroencephalography (EEG). This was a retrospective ML study that used a training dataset derived from the MINDDS study (306 patien... read more

The DNA-Based Disease Diagnosis Model with Strand Displacement Reaction.

IEEE transactions on computational biology and bioinformatics Mar 6, 2026

MicroRNAs (miRNAs) serve as crucial biomarkers in disease diagnosis. Although silicon-based electronic machine learning models provide efficient means for analyzing the massive data associated with miRNAs and for disease diagnosis, they remain constr... read more

Deep Robust Reversible Watermarking.

IEEE transactions on pattern analysis and machine intelligence Mar 6, 2026

Robust Reversible Watermarking (RRW) enables perfect recovery of cover images and watermarks in lossless channels while ensuring robust watermark extraction under lossy channels. However, existing RRW methods, mostly non-deep learning-based, suffer f... read more

Unbiased quantification of persistent postural and motor deficits following spinal cord injury in mice.

PloS one Mar 6, 2026

Spinal cord injury (SCI) causes multifaceted postural and motor impairments that are challenging to quantify. Conventional behavioral tests, such as the Basso mouse scale (BMS), rely on qualitative observations, which do not detect subtle yet signifi... read more

Machine learning prediction of weight gain after antiretroviral therapy initiation in people with HIV: Insights from a large french real-world cohort.

PloS one Mar 6, 2026

Excessive weight gain after initiation of antiretroviral therapy (ART) has become a recognized concern among people living with HIV. Individual weight trajectories remain highly heterogeneous and challenging to predict using conventional methods. We ... read more

Agile legged locomotion in reconfigurable modular robots.

Proceedings of the National Academy of Sciences of the United States of America Mar 6, 2026

Legged machines are becoming increasingly agile and adaptive, but they have so far lacked the morphological diversity of legged animals, which have been rearranged and reshaped to fill millions of niches. Unlike their biological counterparts, legged ... read more

Unveiling hidden intermediate states in protein folding with AI-based conditional transition clustering.

Proceedings of the National Academy of Sciences of the United States of America Mar 6, 2026

Revealing the complex mechanisms of protein folding, including the transient intermediate states that govern the process, is a fundamental goal in computational biophysics. While molecular dynamics (MD) simulations generate vast amounts of data to th... read more

Improving Evidence-Based Practice Through the Development and Validation of Key Wo\rds to Identify Intervention Articles in Communication Disorders.

Language, speech, and hearing services in schools Mar 6, 2026

PURPOSE: Although evidence-based practice (EBP) promotes better clinical practice, implementing it in speech-language pathology is challenging. A limited number of intervention studies and inconsistent use of key words in abstracts complicates the im... read more

Trustworthy Compound-Protein Interaction Prediction with Interpretable and Conformalized Cross-Attention Transformers.

Journal of chemical information and modeling Mar 6, 2026

Deep learning has accelerated drug discovery by enabling large-scale virtual screening, but current models often act as "black boxes" and provide no formal guarantees about prediction reliability. This limitation is particularly critical for compound... read more

Charge Loss in Hybrid Metal Halide Perovskites from Hydrogen Defects: Machine Learning Aided Nonadiabatic Molecular Dynamics.

Journal of the American Chemical Society Mar 6, 2026

Synergy between ion motion and nonradiative recombination constitutes an instability pathway that undermines the optoelectronic performance of metal halide perovskites, with prior studies largely centered on rapidly diffusing halide ions. However, th... read more

Artificial Intelligence Medical Compendium