Results 141 to 150 of about 416,163 (244)

Interpretable Machine‐Learning and Big Data Mining to Predict the CO2 Separation in Polymer‐MOF Mixed Matrix Membranes

Advanced Science, EarlyView.
To explore the structure‐property relationships of MMM (Mixed Matrix Membranes), the big data mining is employed and a transfer learning model is trained for predicting and selecting the optimal MMM materials. It achieves fast computation for the separation of CO2 in MMM.
Hao Wan, Yue Fang, Min Hu, Shuya Guo, Zhiqiang Sui, Xiaoshan Huang, Zili Liu, Yue Zhao, Hong Liang, Yufang Wu, Hanyu Gao, Zhiwei Qiao   +11 more
wiley   +1 more source

Twin neural network regression

Applied AI Letters, Volume 3, Issue 4, December 2022., 2022
We propose to reformulate a regression problem into predicting differences between target values. This allows for leveraging consistency conditions which can be used as uncertainty estimates and enable the production of an ensemble of predictions while training only a single neural network.
Sebastian Johann Wetzel, Kevin Ryczko, Roger Gordon Melko, Isaac Tamblyn   +3 more
wiley   +1 more source

Interpretable Multimodal Fusion Model for Bridged Histology and Genomics Survival Prediction in Pan‐Cancer

Advanced Science, EarlyView.
This article introduces the Brim model, an interpretable multimodal fusion framework that integrates histopathology, genomics, and transcriptomics to enhance cancer prognosis prediction. Addressing real‐world data limitations, the model enables precise predictions even with incomplete molecular data.
Feng Gao, Junxiang Ding, Baowen Gai, Du Cai, Chuling Hu, Feng‐Ao Wang, Ruikun He, Junwei Liu, Yixue Li, Xiao‐Jian Wu   +9 more
wiley   +1 more source

Chromatin Organization Governs Transcriptional Response and Plasticity of Cancer Stem Cells

Advanced Science, EarlyView.
Through a combination of transcriptomic and histone mapping studies integrated with chromatin imaging, we define how chromatin organization in nanoscale packing domains fine tunes the plasticity of cancer stem cells (CSCs) driving evasion from and survival after chemotherapy.
Yinu Wang, Jane Frederick, Karla Isabel Medina, Elizabeth Thomas Bartom, Luay Matthew Almassalha, Yaqi Zhang, Greta Wodarcyk, Hao Huang, I Chae Ye, Ruyi Gong, Cody Levi Dunton, Alex Duval, Paola Carrillo Gonzalez, Joshua Pritchard, John Carinato, Iuliia Topchu, Junzui Li, Zhe Ji, Mazhar Adli, Vadim Backman, Daniela Matei   +20 more
wiley   +1 more source

GABP Promotes Mesangial Cell Proliferation and Renal Fibrosis Through GLI1 in Diabetic Nephropathy

Advanced Science, EarlyView.
GABP is found to promote mesangial cell proliferation and ECM deposition through GLI1, while inhibiting GABP or GLI1 prevents the progression of DN by reducing ECM and fibrosis. The research results indicate that a potential therapeutic approach based on inhibiting mesangial cell proliferation and ECM accumulation can effectively treat DN, while GABP ...
Lei Du, Sijie Liu, Yinfei Lu, Dongxue Ren, Xiujuan Yu, Yue Hu, Tingting Yang, Qun Yang, Jingxian Ming, Jiawei Zhang, Xiaoxing Yin, Qian Lu   +11 more
wiley   +1 more source

Bioprinted Patient‐Derived Organoid Arrays Capture Intrinsic and Extrinsic Tumor Features for Advanced Personalized Medicine

Advanced Science, EarlyView.
An embedded bioprinting enabled‐arrayed patient‐derived organoids (Eba‐PDO) platform that replicates intrinsic and extrinsic tumor characteristics is introduced. Eba‐PDOs more accurately mimic tissue than standard PDOs (Std‐PDOs) due to maturation in the tumor microenvironment.
Jonghyeuk Han, Hye‐Jin Jeong, Jeonghan Choi, Hyeonseo Kim, Taejoon Kwon, Kyungjae Myung, Kyemyung Park, Jung In Park, Samuel Sánchez, Deok‐Beom Jung, Chang Sik Yu, In Ho Song, Jin‐Hyung Shim, Seung‐Jae Myung, Hyun‐Wook Kang, Tae‐Eun Park   +15 more
wiley   +1 more source

MaTableGPT: GPT‐Based Table Data Extractor from Materials Science Literature

Advanced Science, EarlyView.
A significant challenge in materials informatics today is the creation of large‐scale experimental databases. This difficulty primarily stems from the complexities involved in consolidating locally distributed datasets from various laboratories into a single cohesive database.
Gyeong Hoon Yi, Jiwoo Choi, Hyeongyun Song, Olivia Miano, Jaewoong Choi, Kihoon Bang, Byungju Lee, Seok Su Sohn, David Buttler, Anna Hiszpanski, Sang Soo Han, Donghun Kim   +11 more
wiley   +1 more source

GDC: Integration of Multi‐Omic and Phenotypic Resources to Unravel the Genetic Pathogenesis of Hearing Loss

Advanced Science, EarlyView.
Overview of the Genetic Deafness Commons (GDC), integrating data from the Chinese Deafness Genetics Consortium (CDGC) and 51 public databases. The GDC provides tools for variant search, functional predictions, and gene‐disease visualization, offering insights into 201 hearing loss genes and facilitating novel gene discovery and clinical applications ...
Hui Cheng, Xuegang Wang, Mingjun Zhong, Jia Geng, Wenjian Li, Kanglu Pei, Jing Wang, Lanchen Wang, Yu Lu, Jing Cheng, Fengxiao Bu, Huijun Yuan   +11 more
wiley   +1 more source

Dynamics of Cell Fate Decisions during Chemically Induced Multi‐Lineage Trans‐Differentiation at Single‐Cell Level

Advanced Science, EarlyView.
A critical aspect of chromosomal remodeling in small molecule‐induced multilineage trans‐differentiation(iMT) is elucidated. A dynamic atlas spanning over 35 days profiles terminal trans‐differentiated cells, which reverted to a more youthful state. This study reveals parallels between iMT and other cell fate determination processes, emphasizing an ...
Weigao E, Lijiang Fei, Jingjing Wang, Xinru Wang, Renying Wang, Xueyi Wang, Peijing Zhang, Jianhui Chen, Junqing Wu, Mengmeng Jiang, Daosheng Huang, Danmei Jia, Guoji Guo, Xiaoping Han   +13 more
wiley   +1 more source

The Nuclear Receptor NR1B1/RARα Arrests the Differentiation of Anti‐Tumor Effector Cytotoxic T Cells

Advanced Science, EarlyView.
RARα is highly expressed by differentiated effector and exhausted T cells and exerts a negative effect on effector T cell differentiation and the associated trafficking receptor switch. Upregulated RARα levels decrease the nuclear histone acetylase (HAT) activity, and this suppresses the expression of key Teff transcription factor BATF and trafficking ...
Patrick Niekamp, Ryun Hee Kim, Adithyan Jayaraman, Nils Klement, Raymond Kostlan, Chang H. Kim   +5 more
wiley   +1 more source