Results 51 to 60 of about 11,206 (199)

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

Advanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño, Víctor M. de la Oliva Roque, Javier‐Ignacio Ramirez‐Lopez, David P. Kreil, Joaquín Dopazo, Carlos Loucera   +5 more
wiley   +1 more source

Engineering Compact Base Editors by AlphaFold‐Guided Mutation Scan and Escherichia coli‐Based Tri‐Selection

Advanced Science, EarlyView.
A miniaturized deaminase SsdAtox was scanned with AlphaFold to identify DNA binding pocket hot spots. Site‐saturation mutagenesis at gatekeeper residue K31 yielded ten‐fold activity enhancement. Trinity Screen, an E. coli‐based three‐in‐one platform selecting for high activity and reduced double‐strand breaks, enabled combinatorial evolution at DNA ...
Ryeo Gang Son, Goeun Kim, Jungjoon K. Lee   +2 more
wiley   +1 more source

Calcium Channel Blockers Inhibit Pancreatic Neuroendocrine Neoplasms Progression via Cav1.2‐Epigenetic Circuit

Advanced Science, EarlyView.
Our study reveals a novel mechanism of a positive regulatory circuit between Cav1.2 and H3K27ac for pancreatic neuroendocrine neoplasms (pNENs) progression. Cav1.2 is identified as a crucial target for promoting disease progression and correlates with malignant behaviors, which are remarkably inhibited by the administration of calcium channel blockers (
Yangyinhui Yu, Qiongcong Xu, Jinzhao Xie, Mingjian Ma, Xitai Huang, Yinhao Shi, Jiawei Zhou, Enliang Zhu, Ziyi Zhao, Ning Zhang, Zhide Liu, Jingyuan Ye, Xiaoyu Yin   +12 more
wiley   +1 more source

Structural Eigenmodes of the Brain to Improve the Source Localization of EEG: Application to Epileptiform Activity

Advanced Science, EarlyView.
Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu, Philippa J. Karoly, Sina Mansour L., Artemio Soto‐Breceda, Levin Kuhlmann, Mark J. Cook, David B. Grayden   +6 more
wiley   +1 more source

A Glucose‐Responsive Intelligent Antibacterial and Oxygen‐Producing Hydrogel Promotes the Healing of Diabetic Wounds by Regulating Cellular Heterogeneity

Advanced Science, EarlyView.
We have developed a glucose‐triggered on‐demand drug delivery CF‐CPGaMPN hydrogel based on borate ester bonds. It inactivates microbes, releases oxygen, and enables on‐demand drug release in high‐glucose environments to promote healing of diabetic wounds. Single‐cell sequencing reveals that the CF‐CPGaMPN hydrogel significantly alleviates dysfunctional
Manxuan Liu, Zhongcheng Li, Qian Ren, Ziqian Lu, Yubing Zhang, Yili Guo, Ruomeng Li, Die Hu, Linglin Zhang   +8 more
wiley   +1 more source

Cytoprotection Concepts for Ischemic Stroke in the Recanalization Era

Advanced Science, EarlyView.
This review provides detailed information on modern cytoprotective strategies for ischemic stroke in the context of recanalization therapies. It derives their rationale based on contemporary knowledge of stroke pathophysiology and discusses the role of advanced imaging approaches as well as concepts for novel clinical trial designs.
Johannes Boltze, Marc Fisher
wiley   +1 more source

Discovery of an Adaptive Neuroimmune Response Driving Itch and Fast Tick Removal with Implications for Preventing Pathogen Transmission

Advanced Science, EarlyView.
Doehl et al. discovered an adaptive neuroimmune mechanism that induces itch in tick‐exposed guinea pigs, enabling rapid tick removal. This itch‐induced tick removal (IITR) is mediated by an adaptive cellular immune response and is independent of IgG, IgE, or TRPV1.
Johannes S. P. Doehl, Tiago D. Serafim, Serena Doh, Charles S. Grugan, Eva Iniguez, Luana Rogerio, Ronja Frigard, Ranadhir Dey, Pedro Cecilio, Xinglong Gu, Pang‐Yen Tseng, Aline da Silva Moreira, Mahnaz Minai, James Oristian, Hans Ackerman, Steven Brooks, Caroline Percopo, Siu‐Ping Ng, Derron A. Alves, Lucas Tirloni, Jennifer M. Anderson, Adriana Marques, Fabiano Oliveira, Shaden Kamhawi, Daniel E. Sonenshine, José M. C. Ribeiro, Mark Hoon, Jesus G. Valenzuela   +27 more
wiley   +1 more source

His‐MMDM: Multi‐Domain and Multi‐Omics Translation of Histopathological Images with Diffusion Models

Advanced Science, EarlyView.
His‐MMDM is a diffusion model‐based framework for scalable multi‐domain and multi‐omics translation of histopathological images, enabling tasks from virtual staining, cross‐tumor knowledge transfer, and omics‐guided image editing. ABSTRACT Generative AI (GenAI) has advanced computational pathology through various image translation models.
Zhongxiao Li, Tianqi Su, Bin Zhang, Wenkai Han, Sibin Zhang, Guiyin Sun, Yuwei Cong, Xin Chen, Jiping Qi, Yujie Wang, Shiguang Zhao, Hongxue Meng, Peng Liang, Xin Gao   +13 more
wiley   +1 more source

Substituent‐Based Modulation of Self‐Assembly and Immunogenicity of Amphipathic Peptides

Advanced Science, EarlyView.
This study systematically investigates how positional and subtle changes, such as substituents on the phenyl ring attached to short amphipathic peptides, influence their self‐assembly, fibril morphology, and immunogenic responses. ABSTRACT Self‐assembled peptide‐based biomaterials provide versatile platforms for biomedical uses, featuring customizable ...
Anirban Das, Ushasi Pramanik, Elise M. Brown, Chih‐Yun Liu, Huan Gong, Jonathan Fascetti, Mark Gibson, Samuel Stealey, Silviya P. Zustiak, Cory Berkland, Piyoosh Sharma, Meredith E. Jackrel, Mark A. White, Jai S. Rudra   +13 more
wiley   +1 more source

A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials

Advanced Science, EarlyView.
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu, Quanqing Tao, Junhao Ding, Shuo Qu, Haitao Ye, Jun Wei Chua, Tianxiao Niu, Rui Li, Winston Wai Shing Ma, Haoming Mo, Hui Liu, Wei Zhai, Xinwei Li, Xu Song   +13 more
wiley   +1 more source