Results 191 to 200 of about 9,250,019 (280)

Biomarker-integrated machine learning models for predicting treatment-related bowel dysfunction after rectal cancer surgery: a multicenter development and external validation study. [PDF]

Front Med (Lausanne)
Liu Q, Liu Y, Huang Y, Fu Y, Ouyang M, Liu T, Rao J, Xia Z, Liu X, Zeng Z, Zeng J, Zeng X, Zhao S.   +12 more
europepmc   +1 more source

Innate Immunocompetent hiPSC‐Derived Neurospheroids Capture Early CNS Responses to rAAV

Advanced Science, EarlyView.
Knowledge of human CNS immune responses to AAV‐based gene therapies remains limited due to the lack of immune‐competent human models. Here, a hiPSC‐derived 3D neuroimmune platform integrating neurospheroids and microglia is established using stirred‐tank bioreactors.
Catarina M. Gomes, Gabriela Silva, Mafalda Aleixo, Marta Gomes, Daniel Simão, Stephan J. Holtkamp, Diana D. Lobo, Pradeep Harish, Rosalind Jenkins, Lekh N. Dahal, Rui J. Nobre, Luís de Pereira de Almeida, Mark Trautwein, Paula M. Alves, Catarina Brito   +14 more
wiley   +1 more source

Development and Internal Validation of an Explainable Machine Learning Model for Physical Activity Adherence Among Community-Dwelling Patients with Type 2 Diabetes Mellitus. [PDF]

Patient Prefer Adherence
Zhao Y, Zhou M, Sun F, Lin C, Niu H, Zhang X, Jiang F, Wu C.   +7 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

Gm26550 Modulates Learning and Memory by Increasing IGF1 mRNA Expression and Stability in Nrf2−/− Mice

Advanced Science, EarlyView.
The present study shows that Nrf2 directly binds to the Gm26550 promoter, thereby activating Gm26550 transcription and increasing its expression. Mechanistically, Gm26550 promotes IGF1 expression by functionally antagonizing miR‐26a‐5p‐mediated repression and sequestering the RBP KHSRP, thereby enhancing hippocampal neuronal synaptic plasticity and ...
Hongfang Wang, Ziyao Wang, Dongyue Zuo, Zhaowen Su, Bowen Song, Jiamin Gao, Yizhou Zhang, Ruiting Zhao, Linjie Sun, Mengdi Li, Yirui Fan, Dandan Geng, Lei Wang   +12 more
wiley   +1 more source

Development and Internal Validation of Machine Learning-Based Risk Prediction Models for Depression in Older Adults Undergoing Maintenance Hemodialysis. [PDF]

Clin Interv Aging
Zhang Y, Yuan M, Chen M, Long M, Shang H, Zhang M, Liang H, Yuan X.   +7 more
europepmc   +1 more source

Overcoming Artificial Structures in Resolution‐Enhanced Hi‐C Data by Signal Decomposition and Multi‐Scale Attention

Advanced Science, EarlyView.
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li, Kelly Yichen Li, Chiara Nicoletti, Stephen Kwok‐Wing Tsui, Pier Lorenzo Puri, Qin Cao, Kevin Y. Yip   +6 more
wiley   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Development and validation of an explainable machine learning model for differentiating diabetic nephropathy from diabetic retinopathy in patients with type 2 diabetes. [PDF]

Front Endocrinol (Lausanne)
Zhang Y, Feng S, Xue Y, Xue L, Luo J.
europepmc   +1 more source