Results 241 to 250 of about 1,472,001 (316)
Environmental cadmium exposure disrupts testicular homeostasis through a novel intercellular communication axis. Stressed Sertoli cells release extracellular vesicles carrying damage‐associated molecular patterns and mitochondrial fragments, which activate macrophages via TLR4/NF‐κB signaling.
Jianfeng Ma +17 more
wiley +1 more source
Child-Directed Speech Facilitates Semantic Role Learning: A Machine Learning Approach. [PDF]
Huber E, Bickel B, Stoll S.
europepmc +1 more source
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
wiley +1 more source
SALT: Introducing a framework for hierarchical segmentations in medical imaging using label trees. [PDF]
Becker SS +13 more
europepmc +1 more source
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
wiley +1 more source
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv +11 more
wiley +1 more source
Integrating Confidence, Difficulty, and Language Model Calibration for Better Explainability in Clinical Documents Coding: Applications of AI. [PDF]
Popescu MH, Roitero K, Della Mea V.
europepmc +1 more source

