Results 211 to 220 of about 2,854,398 (286)

Foundation Model‐Enabled Pathology‐Informed MRI Model for Preoperative Prediction of Vessels Encapsulating Tumor Clusters in Resectable Hepatocellular Carcinoma: A Multicenter Retrospective Study

Advanced Science, EarlyView.
PIVOT uses pathology‐derived morphologic and vascular representations from postoperative H&E and CD34 whole‐slide images to guide model development, while clinical inference requires only preoperative multiparametric MRI. Across five centers, PIVOT enabled accurate preoperative assessment of vessels encapsulating tumor clusters, stratified patients by ...
Zhehan Shen, Wanmin Liu, Xiaoming Li, Wenjie Zou, Yiman Li, Jie Yuan, Yasen Yimit, Shihang Wang, Linhao Qu, Hui Dong, Wei Chen, Ningyang Jia, Peijun Wang   +12 more
wiley   +1 more source

Nanoscale Buried Interface Control in Silicone Hydrogels Enables a Biointerface Engineering Platform

Advanced Science, EarlyView.
A hydrophilic coating with controllable nanoscale thickness is applied to commercial silicone hydrogel contact lenses. By combining comprehensive multi‐modal three‐dimensional characterization with an advanced algorithm, the thickness and chemical information of these multilayered structures are resolved.
Po‐Hsiang Chen, Jia‐Hua Wang, Ching Chen, Shih‐Hsuan Fu, Rajan Deepan Chakravarthy, Hsin‐Chieh Lin   +5 more
wiley   +1 more source

Predicting flexural strength of hybrid FRP-steel reinforced beams using symbolic regression and ML techniques. [PDF]

Sci Rep
Megahed K.
europepmc   +1 more source

Massively Multiplexed Photonic Chip With Cross‐Channel Fusion For Harmonized Biosensing

Advanced Science, EarlyView.
We introduce a transformative sensing platform integrating photonic multiplexing with over 10 000 sensors and a deep‐learning framework that combines domain adaptation and cross‐channel fusion for harmonized operation across heterogeneous chips. The platform achieves 99.3% identification accuracy and relative prediction errors of 10−4$^{-4}$ for ...
Ivan Saetchnikov, Elina Tcherniavskaia, Andreas Ostendorf, Anton Saetchnikov   +3 more
wiley   +1 more source

One‐Step Induction of Oogonia‐Like and Pro‐Spermatogonia‐Like Cells From Porcine Pluripotent Stem Cells

Advanced Science, EarlyView.
This study established a one‐step method inducing pro‐spermatogonia‐like (activating SOX17) and oogonia‐like (activating SOX17/TFAP2C) cells from porcine pgEpiSCs with a NANOS3‐tdTomato reporter. EGF activates the core PGC program and supports survival; BMP4 further induces NANOS3 and DDX4 expression; IWR1 enhances PGCLC efficiency by suppressing ...
Pengcheng He, Liang Zhong, Tianzhi Chen, Yaxuan Yan, Xinze Chen, Runbo Li, Yingjie Wang, Yadi Teng, Minglei Zhi, Meng Wang, Jinying Zhang, Fan Zhao, Dengfeng Gao, Suying Cao, Jianyong Han   +14 more
wiley   +1 more source

Integrating machine learning and symbolic regression for predicting damage initiation in hybrid FRP bolted connections. [PDF]

Sci Rep
Sorour SS, Saleh CA, Shazly M.
europepmc   +1 more source

Serial H&E Pathology Reveals Progression‐Associated Nuclear Size Drift as a Longitudinal Digital Readout of Bladder Cancer Evolution

Advanced Science, EarlyView.
Routine serial H&E specimens from bladder cancer are converted into paired T0/T1 digital pathology readouts of tumor evolution. Progression is associated with longitudinal nuclear drift, with nuclear size‐related changes most evident in the independent confirmation cohort, alongside a broader spatial burden of increased nuclear area and biological ...
Xing Liu, Zhen‐Duo Shi, Gong‐Cheng Wang, Jian‐Ming Wang, Ying Liu, Yi Gong, Xuan Lin, Di Wu, Shi‐Chao Zhuo, Han Han, Yi‐Bing Shi, Fan‐Lai Meng, Yu Zhang, Zhi‐Gang Jia, Cong‐Hui Han   +14 more
wiley   +1 more source

Symbolic regression for strength prediction of eccentrically loaded concrete-filled steel tubular columns. [PDF]

Sci Rep
Megahed K.
europepmc   +1 more source

Data‐Driven and Physics‐Informed Modeling Perspectives for Soft Manipulators: From SINDy to Hybrid Intelligence

Advanced Science, EarlyView.
This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Wenbo Hui, Yunyi Wang, Teng Zhang, Yang Chen, Min Pan   +4 more
wiley   +1 more source

STM-based symbolic regression for strength prediction of RC deep beams and corbels. [PDF]

Sci Rep
Megahed K.
europepmc   +1 more source