Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 52,201 to 52,210 of 225,279 articles

A physics-informed neural network framework for quantitative analysis of transcytosis and physical diffusion in an in vitro BBB.

Journal of nanobiotechnology Feb 9, 2026
Nanoparticles traverse the blood-brain barrier (BBB) through passive diffusion and vesicular transcytosis, but the quantitative contributions of these routes remain difficult to determine. Here, we combine a controlled in-vitro human BBB model (hCMEC... read more 

Prediction of malignancy and metastasis of thyroid cancer by combined feature sets through advanced machine learning.

BMC medical informatics and decision making Feb 9, 2026
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Full-scale indexing and semantic annotation of CT imaging: boosting FAIRness.

BMC medical informatics and decision making Feb 9, 2026
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Enzyformer: a two-stage pretrained model for enzymatic retrosynthesis.

Journal of cheminformatics Feb 9, 2026
Although enzymatic retrosynthesis planning is widely used to accelerate drug synthesis and discovery, it still faces key challenges, including limited knowledge transfer from general chemical space and incomplete EC number prediction. Here, we introd... read more 

CMMSCL-DPI: cross-modal multi-structural contrastive learning for predicting drug-protein interactions.

BMC biology Feb 9, 2026
BACKGROUND: Predicting drug-protein interactions (DPI) is essential for effective and safe drug discovery. Although deep learning methods have been extensively applied to DPI prediction, effectively leveraging the multi-structural and multimodal data... read more 

Implementing generative artificial intelligence in precision oncology: safety, governance, and significance.

Journal of hematology & oncology Feb 9, 2026
The paramount challenge in precision oncology lies in further improving quality of life and response rates for individual patients. Efforts toward these goals are steadily expanding the scope of clinical implementation, despite ongoing challenges suc... read more 

Word embeddings as autonomous predictors in materials design-the effect of inherent variability on information transfer.

Journal of cheminformatics Feb 9, 2026
We propose that word embeddings of atoms derived from scientific literature are revisited as autonomous machine learning predictors in materials design. If static word embeddings encode comprehensive physicochemical information, joined embeddings of ... read more 

A machine learning model for accurate prediction of CMV end-organ disease.

BMC medical informatics and decision making Feb 9, 2026
BACKGROUND: Cytomegalovirus (CMV) End-Organ Disease (EOD) remains a significant complication in immunocompromised individuals, particularly transplant recipients and patients undergoing chemotherapy. Accurate prediction of CMV EOD is essential for ti... read more 

Integrative machine learning identifies a TEAD4-driven endothelial program shaping drug sensitivity and microvascular invasion in HCC.

Journal of translational medicine Feb 9, 2026
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Intelligent identification of medical and veterinary intracellular protozoa by using self-supervised learning.

Parasites & vectors Feb 9, 2026
BACKGROUND: Zoonotic diseases pose a major threat to both human and animal health, contributing significantly to global morbidity and mortality. Accurate diagnosis is crucial for effective control and treatment, with microscopic examination serving a... read more 
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