Results 201 to 210 of about 14,430,841 (247)

NeuroSuite for Long‐Term Functional and Structural Studies of Air‐Liquid Interface Cerebral Organoids

Advanced Science, EarlyView.
NeuroSuite provides a modular hardware‐software platform integrating Neuroweb and NeuroMaps to enable long‐term, in situ electrophysiological interrogation of air–liquid interface organoid slices while preserving tissue architecture. Its components can be used together or independently to capture real‐time activity, spatial network dynamics, and ...
Belquis Haider, Sagnik Middya, Daniel J. Lloyd‐Davies‐Sánchez, Nino F. Läubli, Sulay Vora, Jakob Träuble, Rohan N. Krajeski, Yuqing Feng, Daniel Duncko, Josiah S. Riley, Rubén Ruiz‐Mateos Serrano, Ole Paulsen, Madeline A. Lancaster, George G. Malliaras, Gabriele S. Kaminski Schierle   +14 more
wiley   +1 more source

Country-Level RSV-Related Hospitalisation Rates Among Adults in High-Income Countries From an Ensemble Model Based on Direct Viral Testing Incidence Data. [PDF]

Influenza Other Respir Viruses
Deng S, Zhang T, Xu Y, Begier E, Liang C, Sato R, Kenmoe S, Gessner BD, Nair H, Li Y.   +9 more
europepmc   +1 more source

A Critical Time Window of Neocortex Modulation for Remote Fear Memory in Rats and Humans

Advanced Science, EarlyView.
This study identifies a delayed consolidation window around 18 h after fear learning in the mPFC essential for remote fear memory. VTA dopaminergic input during this window sustains remote memory in rats, while non‐invasive stimulation of homologous human mPFC at the corresponding time selectively weakens remote but not recent fear memory, revealing a ...
Lu Cao, Yu‐Xin Zhang, Xiao‐Xing Liu, Zi‐Hang Li, Tang‐Sheng Lu, Jia‐Hui Deng, Wen Zhang, Peng Li, Xiao Lin, Shu‐Fei Feng, Ting‐Ting Li, Shi‐Qiu Meng, Xiang‐Dong Tang, Tian‐Ye Jia, Trevor W. Robbins, Jie Shi, Ying Han, Yan‐Xue Xue, Lin Lu, Kai Yuan   +19 more
wiley   +1 more source

A CT-Based Radiomics Ensemble Model (CRIPEM) for Preoperative Prediction of Pathological Upstaging in Clear Cell Renal Cell Carcinoma. [PDF]

Cancers (Basel)
Xia Y, Zhao Y, Yue C, Qi J, Zhang S, Qi W, Li J, Zhao C, Zheng Y, Shi B, Jiang X.   +10 more
europepmc   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Development and Interpretability Analysis of a Stacking Ensemble Model for Early Prediction of Nutritional Risk in Intensive Care Unit Patients: Retrospective Cohort Study. [PDF]

JMIR Med Inform
Zhang X, Fang A, Lou P, Yao K, Huang T, Hu J.   +5 more
europepmc   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Radiomics-based ensemble model predicts postoperative recurrence of gastric cancer. [PDF]

BMC Med
Ding P, Chen S, Guo H, Yang J, Fu Q, Wang B, Gu R, Zhang L, Wu J, Wu H, Meng N, Li X, Guo Z, Tian Y, Meng L, Zhao Q.   +15 more
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Spatiotemporal analysis of plague risk in Tibet: Multi-source data-driven ensemble model development and validation. [PDF]

One Health
Guo L, Zhang X, Lin Z, Cui Z, Li C, Wu S.   +5 more
europepmc   +1 more source