AI Medical Compendium

Machine learning - optimized molecularly imprinted electrochemical sensor based on Bi-rich BiOBr/BC@AuNPs for trace determination of sulfachlorpyrazine sodium in food.

Food chemistry May 5, 2026

A highly sensitive and selective molecularly imprinted electrochemical sensor was developed for the detection of sulfachloropyrazine sodium (SPZ), assisted by machine learening (ML) optimization. The sensing platform was fabricated using novel Bi-ric... read more

DeepPath: overcoming data scarcity for protein transition pathway prediction using physics-based deep learning.

Chemical science May 5, 2026

The structural dynamics of proteins play a crucial role in their function, yet many current deep learning methods chiefly yield high-resolution static snapshots of single conformations, with dynamics captured indirectly or at limited resolution unles... read more

VQ-DoseNet: A vector quantized model for stochastic radiotherapy dose prediction.

Medical image analysis May 5, 2026

Radiotherapy treatment planning is a time-consuming process, and dose prediction models are crucial for improving efficiency. Traditional deep learning-based models often produce deterministic outputs, which fail to capture the inherent variability i... read more

Autodidactic dense anatomical models.

Medical image analysis May 5, 2026

Humans effortlessly interpret images by parsing them into part-whole hierarchies. Yet, deep learning models, despite excelling at capturing multi-level features, often fail to explicitly encode these part-whole hierarchies-an essential aspect of medi... read more

Overcoming the source identification barrier: A critical tool for realistic risk assessment of CeO₂ nanoparticles in agroecosystems.

Journal of hazardous materials May 5, 2026

The environmental risk assessment of CeO₂ engineered nanoparticles (ENPs) is limited by the inability to distinguish their specific exposure from ubiquitous natural counterparts (NNPs) in agroecosystems. Here, we developed an analytical framework int... read more

AI literacy among healthcare professionals and students in the Americas.

Lancet regional health. Americas May 5, 2026

Artificial Intelligence (AI) applications in health care continue to grow exponentially, and AI-tools such as machine learning (ML), natural language processing (NLP), and generative pre-trained transformers (GPT) continue to transform medical educat... read more

Underestimation of industrial contributions to VOC fluctuation in the Hangzhou Bay: Insights from simultaneous measurements and ML-SHAP analysis.

Environmental pollution (Barking, Essex : 1987) May 5, 2026

As a major petrochemical hub, the Hangzhou Bay suffers from severe volatile organic compound (VOC) pollution. Here, we conducted parallel high-frequency VOC measurements at a coastal mainland site (Haiyan) and an offshore island site (Daishan) during... read more

Review of risk perception research by cognitive neuroscience technologies in high-risk industry.

Biological psychology May 5, 2026

Risk perception failure is one of the primary causes of unsafe behavior in high-risk industries. While traditional studies hold value, they often fail to capture the real-time, dynamic cognitive processes involved. The emergence of cognitive neurosci... read more

Executive summary of the 2026 consensus document. Planning the future of Internal Medicine: A position statement of the International Forum of Internal Medicine (FIMI).

Revista clinica espanola May 5, 2026

The International Forum of Internal Medicine (FIMI) presents a position paper that analyzes the current state and projects the future of Internal Medicine in a global context marked by population aging, multimorbidity, fragmentation of health systems... read more

Trajectories of pain and key predictors in two years of chronic low back pain: A prospective longitudinal cohort study.

The journal of pain May 5, 2026

Chronic low back pain (CLBP) is prevalent. Understanding its progression and identifying related predictors is essential to guide its management. This study aimed to characterize CLBP trajectories over two years and identify baseline predictors of th... read more

Artificial Intelligence Medical Compendium