Results 141 to 150 of about 10,273 (258)

Tumor Exposomics: A New Paradigm for Individualized Continuous Exposure Monitoring

open access: yesAdvanced Science, EarlyView.
Tumor exposomics integrates continuous monitoring of environmental exposures, endogenous biological responses, and behavioral factors within a unified temporal framework. By combining multimodal sensing technologies with AI‐enabled causal modeling, this emerging paradigm reconstructs exposure‐damage trajectories and supports individualized dynamic risk
Kaicheng Shen   +6 more
wiley   +1 more source

Beyond Biomimetics: Pathology‐Informed Engineering Rescues Reconstituted HDL From Inflammatory Dysfunction for Sepsis Immunotherapy

open access: yesAdvanced Science, EarlyView.
A pathology‐informed engineering strategy rescues reconstituted HDL from inflammatory dysfunction in sepsis. By integrating a ceria nanozyme‐celastrol coordination complex, the platform preserves HDL structure and endotoxin handling, sustains hierarchical intracellular delivery, and enhances immunoregulation across pathological models, translating ...
Han Zhou   +12 more
wiley   +1 more source

Molecular Atlas of Key Food Odorants Reveals Mixture‐Level Organization and Enables Generative Aroma Design

open access: yesAdvanced Science, EarlyView.
KFO‐Atlas reveals how real‐world aromas are organized as structured mixtures rather than individual molecules. Building on these principles, KFO‐Gen, a generative AI framework, designs perceptually valid aroma formulations and reconstructs meat‐like aromas exclusively from plant‐derived odorants, providing a foundation for mixture‐level studies and AI ...
Jingzhi Zhang   +5 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

open access: yesAdvanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen   +4 more
wiley   +1 more source

Statutory construction and interpretation for AI. [PDF]

open access: yesProc Natl Acad Sci U S A
He L   +6 more
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

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