Results 161 to 170 of about 6,773 (260)

Surface‐Guided Radiotherapy for Vulvar Cancer in the Frog‐Leg Position: Setup Accuracy and BMI Effects

open access: yesJournal of Applied Clinical Medical Physics, Volume 27, Issue 8, August 2026.
Abstract Background Radiotherapy for vulvar carcinoma often employs the “frog‐leg” position to minimize skin toxicity, but this position is biomechanically unstable and prone to setup errors using conventional skin markings. Purpose To evaluate the clinical efficacy of Surface‐Guided Radiotherapy (SGRT) for setup accuracy in vulvar cancer patients ...
Hao Liang   +7 more
wiley   +1 more source

High‐Throughput Digital Decoding of Vascular Heterogeneity in Patient‐Specific Tumor Microenvironments

open access: yesAdvanced Healthcare Materials, Volume 15, Issue 29, 7 August 2026.
ABSTRACT Quantitative characterization of vascular heterogeneity in complex microphysiological systems (MPS), particularly within patient‐derived tumor microenvironments, remains a major challenge for scalable disease modeling and therapeutic evaluation.
Jungseub Lee   +9 more
wiley   +1 more source

Dose‐Dependent Reprogramming of Chromatin Accessibility by SOX4 Drives the Transcriptional Response to Iron Overload

open access: yesAdvanced Science, Volume 13, Issue 43, 3 August 2026.
This study demonstrates that iron overload triggers widespread chromatin compaction and transcriptional repression in human granulosa cells, recapitulating features of endometriosis. The epigenetic reprogramming is orchestrated by a TFEB‐SOX4‐SWI/SNF axis, with SOX4 acting as a central, dosage‐sensitive regulator.
Feifei Li   +15 more
wiley   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

open access: yesAdvanced Science, Volume 13, Issue 44, 7 August 2026.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

open access: yesAdvanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian   +12 more
wiley   +1 more source

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