AI Medical Compendium

Unveiling key descriptors via machine learning: toward rational molecular design of chromophores with excited-state intramolecular proton transfer.

Chemical science Feb 9, 2026

Precise design of excited-state intramolecular proton transfer (ESIPT) molecules targeting advanced optoelectronic or biological sensing applications presents a fundamental challenge. Controlling the energy difference (ΔE*) between normal (N*) and ta... read more

Artificial intelligence virtual extracellular vesicles (AIVEVs).

Bioactive materials Feb 9, 2026

Recent progress in artificial intelligence (AI) has given rise to AI virtual cells (AIVCs), which are digital twins of predictable or dynamic biological cells. This model can simulate, predict and replicate the behavior of real cells in digital softw... read more

Trichosanthes kirilowii extract alleviated liver fibrosis and acute myocardial infarction by inhibiting VCAN to restrain monocyte senescence: Insights from bioinformatic analyses and experimental validation.

Phytomedicine : international journal of phytotherapy and phytopharmacology Feb 9, 2026

BACKGROUND: Liver fibrosis and acute myocardial infarction (AMI) tended to co-occur. Cellular senescence and an imbalanced immune microenvironment were reported to serve as shared pathological hallmarks. However, the key driver genes remained uneluci... read more

Quantitative Assessment of the Extent of Retinal Vascularization in Retinopathy of Prematurity.

Ophthalmology science Feb 9, 2026

OBJECTIVE: To evaluate pixel-based measurements of the minimum nasal and temporal extent of retinal vascularization (NERV and TERV) from RetCam images in retinopathy of prematurity (ROP). DESIGN: Retrospective, multicenter diagnostic accuracy study. ... read more

Artificial intelligence-powered automatic coronary computed tomography angiography plaque quantification: comparison against optical coherence tomography.

European heart journal. Digital health Feb 9, 2026

AIMS: Coronary computed tomography angiography (CCTA) enables a non-invasive, comprehensive assessment of coronary artery disease, and artificial intelligence (AI) offers the potential to improve CCTA image interpretation. This study aimed to evaluat... read more

Magnetic resonance imaging (MRI) of the myometrium - benign and malignant disease.

Clinical radiology Feb 9, 2026

Myometrial lesions are a common indication for pelvic imaging, with accurate characterisation crucial for guiding management. While ultrasonography remains the first-line modality, magnetic resonance imaging (MRI) offers superior tissue contrast, mul... read more

Smartphone-integrated molecularly imprinted sensor with convolutional neural networks for on-site detection of Norfloxacin.

Analytica chimica acta Feb 9, 2026

We developed a portable sensing platform that integrates a dual-emission molecularly imprinted fluorescent sensor (Ir-NOR@MIP-CdSe@ZnS) with deep learning for the rapid, on-site detection of Norfloxacin (NOR). The Ir-NOR-probe was incorporated with C... read more

Machine-learning-derived phenotypes of hypertensive patients using multidimensional clinical and echocardiographic data including strain imaging.

European heart journal. Digital health Feb 9, 2026

AIMS: We applied unsupervised machine learning clustering to a large cohort of hypertensive patients undergoing echocardiography with strain imaging to identify phenotypes with distinct clinical profiles, comorbidities, remodelling trajectories, and ... read more

Introducing OpenTextile-NIR: Near-infrared hyperspectral imaging and photography dataset for optical identification of textiles.

Data in brief Feb 9, 2026

This dataset presents the first open-access collection of near-infrared hyperspectral imaging (NIR-HSI) data for the optical identification of textiles, with a focus on supporting research in sensor-based textile sorting and recycling. The dataset co... read more

Data-driven multiscale design of composite biomaterials: Integrating experiments, imaging, and computational modeling for biomedical engineering.

Materials today. Bio Feb 9, 2026

Composite biomaterials are central to biomedical engineering, where implants and scaffolds must simultaneously meet mechanical, biological, and functional demands across length scales. This review outlines a data-driven multiscale design paradigm tha... read more

Artificial Intelligence Medical Compendium