Results 191 to 200 of about 1,532,152 (301)

Deciphering Anti‐Cancer Drug Efficacy Through Nanomechanical Vibrations in Living Gastric Cancer Organoids

Advanced Science, EarlyView.
This study developed an efficacy assessment platform that integrates patient‐derived gastric cancer organoids, atomic force microscopy (AFM)‐based nanomechanical vibration detection, deep learning analysis, and organoid mechanical modeling. It detects picomolar drug effects within 0.1 s signal, achieves 97% classification accuracy, and offers non ...
Ting Zhang, Qiubo Chen, Shihai Lan, Liang Zhu, Shuaiyu Liu, Yan Xia, Yalu Zhang, Hanhui Yao, Yongman Liu, Shangquan Wu, Qingchuan Zhang   +10 more
wiley   +1 more source

Graph Convolutional Networks Enable Fast Hemorrhagic Stroke Monitoring With Electrical Impedance Tomography. [PDF]

IEEE Trans Biomed Eng
Toivanen J, Kolehmainen V, Paldanius A, Hanninen A, Hauptmann A, Hamilton SJ.   +5 more
europepmc   +1 more source

Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials

Advanced Science, EarlyView.
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang, Mengyu Li, Xiaohang Xie, Ao Chen, Thomas G. Bifano, Xin Zhang   +5 more
wiley   +1 more source

Accelerating Focused Ultrasound Modeling in Heterogeneous Spinal Cord Anatomy With Vision Transformer Operator Networks. [PDF]

Ultrasound Med Biol
Kumar A, Zhi X, Davidar AD, Kerensky MJ, Theodore N, Manbachi A.   +5 more
europepmc   +1 more source

Toward High‐Resolution Polymeric Neural Interfaces: A Practical Guide for Electron Beam Lithography

Advanced Science, EarlyView.
Electron beam lithography (EBL) enables sub‐micron patterning of polymer‐based neural implants, overcoming the resolution limits of optical lithography. By addressing challenges such as charging, non‐planarity, and substrate heating, it supports higher channel density, improved miniaturization, and better long‐term tissue integration.
Hanna Karlsson‐Fernberg, Maria Asplund
wiley   +1 more source

Predicting the Unpredictable: AI-Driven Prognosis in Pancreatic Neuroendocrine Neoplasms. [PDF]

Cancers (Basel)
Merola E, Pirino E, Marcucci S, Chierichetti F, Michielan A, Bernardoni L, Gabbrielli A, Dore MP, Fanciulli G, Brolese A.   +9 more
europepmc   +1 more source

Groundwater Rise Sustains the World's Largest Alpine Water System Under Global Warming

Advanced Science, EarlyView.
Shallow groundwater depth (SGWD) across the non‐permafrost plains of the Qinghai–Xizang Plateau decreased at averagely 0.02 m year−1, adding 31.44 Gt of freshwater storage from 2000 to 2020 and sustaining ∼53 500 km2 of alpine ecosystems. A vadose‐zone capacity of 426.6 Gt reveals these aquifers as promising reservoirs, highlighting groundwater's ...
Jianqing Du, Zhixiang Niu, Yanfen Wang, Shirui Zhou, Youqing Yang, Xiang Wei, Haishan Niu, Yitao Zhang, Anquan Xia, Yali Liu, Yanbin Hao, Kai Xue, Bingfang Wu, Xinquan Zhao, Tandong Yao, Yiyu Chen   +15 more
wiley   +1 more source

Multimodal Deep Learning for Prediction of Progression-Free Survival in Patients with Neuroendocrine Tumors Undergoing ¹⁷⁷Lu-Based Peptide Receptor Radionuclide Therapy. [PDF]

Cancers (Basel)
Baur S, Ruhwedel T, Böke E, Kobus Z, Lishkova G, Wetz C, Amthauer H, Roderburg C, Tacke F, Rogasch JM, Samek W, Jann H, Ma J, Eschrich J.   +13 more
europepmc   +1 more source

COMPARISON OF GOOGLE NET CONVOLUTIONAL NEURAL NETWORK TO VISUAL GEOMETRY GROUP CONVOLUTIONAL NEURAL NETWORK

, 2022
Pepple, Mc-Kelly, Ikeremo, EFIYESEIMOKUMO   +1 more
openaire   +2 more sources

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

Advanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Thantrira Porntaveetus, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad‐Rokny   +7 more
wiley   +1 more source