Results 191 to 200 of about 65,893 (254)

Development and validation of a multimodal model based on histopathological and computed tomography imaging for predicting survival outcomes in stage III colorectal cancer

VIEW, EarlyView.
Patients with stage III colorectal cancer exhibit substantial heterogeneity in clinical outcomes despite receiving standardized treatments, which complicates accurate risk stratification. In this study, we integrated features derived from routine histopathological slides and preoperative computed tomography scans using machine learning to develop a ...
Danyi Li, Zhangxin Zhao, Genxia Wei, Weihao Qiu, Zhihao Lin, Jiankun He, Bingbing Li, Jing Wang, Lisheng Zheng, Feiyan Feng, Xiangkun Wu, Zhengyu Zhang, Jinbang Li, Mingxing Qiu, Shujing Guo, Chenglong Zhao, Ying Tan, Yueping Liu, Qingling Zhang, Yu Zhang, Li Liang   +20 more
wiley   +1 more source

A PIKAN-based model for the prediction of the temperature fields of castings. [PDF]

Sci Rep
Zhao Q, Wang B, Kang J.
europepmc   +1 more source

Exact feature collisions in neural networks. [PDF]

Sci Rep
Ozbulak U, Rao S, De Neve W, Vankerschaver J, Van Messem A, Gasparyan M.   +5 more
europepmc   +1 more source

Patient-derived brain organoids reveal divergent neuronal activity across subpopulations of autism spectrum disorder. [PDF]

Transl Psychiatry
Perets N, Kerem L, Waiskopf N, Horesh N, Goldman I, Avichzer J, Bril D, Tobelaim W, Barashi M, David L, Tenenbaum A.   +10 more
europepmc   +1 more source

Structured interconnectivity optimizes neural geometry for balancing specificity and generalization in object recognition. [PDF]

Commun Biol
Zhang Y, Liu J, Liu J.
europepmc   +1 more source

A lightweight, end-to-end explainable, and generalized attention-based graph neural network model trained on high-order spatiotemporal organization of dynamic functional connectivity to classify autistics from typically developing. [PDF]

Netw Neurosci
Bhavna K, Ghosh N, Banerjee R, Roy D.
europepmc   +1 more source

Residual bayesian attention networks for uncertainty quantification in regression tasks. [PDF]

Sci Rep
Chen Y, Guan W, Azzam R.
europepmc   +1 more source