AI Medical Compendium

Development of an AI Image Recognition-Based Lateral Flow Immunochromatographic Test Strip for Higenamine Detection.

Analytical biochemistry Feb 6, 2026

Higenamine (HM) is a naturally occurring benzylisoquinoline alkaloid found in plants and is classified as an S3 prohibited substance in the 2020 World Anti-Doping Agency report. To prevent doping violations in competitive sports, it is essential to d... read more

A Word2Vec-ResNet Transfer Learning model for promoter prediction with dimensionality reduction and cross-domain knowledge integration.

Analytical biochemistry Feb 6, 2026

Promoter prediction is critical for deciphering transcriptional regulatory mechanisms. However, traditional one-hot encoding strategies suffer from dimensionality explosion with vocabulary expansion, while single-domain knowledge constraints limit pr... read more

Multiple neural networks from cognition to motivation of prosocial behaviour in rodents: Potential mechanism between empathy and autism spectrum disorder.

Progress in neurobiology Feb 6, 2026

Prosocial behaviour, as a facet of social behaviour across species, entails voluntary actions that benefit others, including helping and comforting behaviours. To explain how external sensory information is integrated to generate motivation and ultim... read more

Optimizing deep CNN architecture via hybrid Harris Hawks arithmetic algorithm for EEG meditation classification.

Neuroscience Feb 6, 2026

Meditation is a widely recognized practice that enhances mental well-being and cognitive function. Despite advances in EEG meditation neuroscience, challenges persist in extracting robust and interpretable features from complex, non-stationary EEG si... read more

Unlocking component-level chemical structural information for AI-driven targeted nanoparticle design.

Journal of controlled release : official journal of the Controlled Release Society Feb 6, 2026

The structural complexity and unpredictable in vivo fate of nanoparticles pose major barriers to rational design of targeted nanoparticles. The rapidly developing artificial intelligence (AI) technology brings new opportunities to establish structure... read more

Development and validation of a computed tomography myocardial perfusion imaging radiomic model for major adverse cardiovascular events prediction: a multicenter study.

European heart journal. Cardiovascular Imaging Feb 6, 2026

AIMS: Accurate prediction of major adverse cardiovascular events (MACE) is crucial for risk stratification in patients with suspected coronary artery disease. CT myocardial perfusion imaging (CT-MPI) provides various parameters, which may help compre... read more

Learner-Centered Microbiology Teaching via the Flipped Classroom Model: Insights from a Mixed-Methods Educational Study.

Annals of African medicine Feb 6, 2026

CONTEXT: Medical education has evolved to emphasize active learning and technology for competency development. The flipped classroom (FCR) model shifts from teacher-centered to learner-centered instruction, promoting deep learning through self-study ... read more

Machine learning unveils three layers of food complexity.

NPJ science of food Feb 6, 2026

Food is a more complex system than commonly perceived, comprising tens of thousands of molecules whose compositions and interactions ultimately shape human perception. To conceptualize this multifaceted nature, we frame food complexity across three i... read more

A hybrid learning framework for automated multiclass electrocardiogram classification with SimCardioNet.

Scientific reports Feb 6, 2026

Electrocardiography is a cornerstone in the diagnosis of cardiovascular diseases; however, accurate interpretation demands expert knowledge and is often impeded by data scarcity and annotation costs. To address these challenges, we propose SimCardioN... read more

A temperature- and impedance-aware LSTM-PINN framework for physically consistent battery SOH prediction.