Results 231 to 240 of about 44,929 (317)

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

Advanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu, Da‐Wen Sun, QingYi Wei, Yibing Zhang, Jidong Tang, Hongbin Pu   +5 more
wiley   +1 more source

A Return to the Logic-First Spirit of Corey's Retrosynthetic Analysis, Now Implemented in Modern Data-Driven CASP. [PDF]

ACS Cent Sci
Kabeshov M, Bergonzini G, Engkvist O.
europepmc   +1 more source

Lessons From Drug Discovery for Cryoprotective Agent Design: An AI‐Oriented Perspective

Advanced Science, EarlyView.
Cryoprotectant design is reframed through the lens of drug discovery as a multiparameter optimization problem. This perspective highlights how AI and systematic design strategies could enable safer, more effective cryoprotectants, while identifying key limitations that currently constrain predictive progress in cryobiology. ABSTRACT Cryopreservation is
Dominika Wilczok, Jesús Valdés‐Hernández, Varinia Bernales, Alán Aspuru‐Guzik, Alex Zhavoronkov   +4 more
wiley   +1 more source

A transformer based approach to STEAM integrated english course design in high schools under deep learning. [PDF]

Sci Rep
Fan W.
europepmc   +1 more source

CCL3 and IL‐7 Synergistically Enhance CAR‐T Efficacy in Solid Tumors

Advanced Science, EarlyView.
Synergistic delivery of CCL3 and IL‐7 by CAR‐T cells overcomes the immunosuppressive tumor microenvironment by enhancing cell infiltration, survival, and local immune reprogramming. This also establishes positive feedback that amplifies anti‐tumor activity and memory responses in both CAR‐T and endogenous T cells, presenting a robust therapeutic ...
Huanpeng Chen, Xiaoyun Luo, Huixin Gao, Yujing Ke, Yu Zhan, Xiaoting Xu, Xiaoxiao Xiong, Fengjiao Wei, Si Yang, Zhonghua Liu, Bolan Yu, Zhaofeng Huang, Yingjie Bian   +12 more
wiley   +1 more source

Design, Implementation, and Preliminary Evaluation of an Undergraduate Nursing Informatics Literacy Course Based on the ADDIE Model: A Single-Arm Mixed-Methods Study. [PDF]

Nurs Rep
Zou H, Wu L, Li K, Chang P, Chen Y.
europepmc   +1 more source

Junction Physics and Architectural Paradigms in Optoelectronic Semiconductor Fibers

Advanced Science, EarlyView.
Optoelectronic fibers are emerging as a key platform for distributed sensing, energy harvesting, and optical communication in deformable systems. Their performance is fundamentally governed by junction formation under confined, dynamic processing conditions.
Hailiang Wang, Wenshu Ouyang, Yuhang Xiao, Wei Yan, Meifang Zhu   +4 more
wiley   +1 more source

Revolutionizing clinical skills training with Generative AI: the Intelligent Inquiry Training System framework. [PDF]

Front Med (Lausanne)
Liu H, Cheng H, Zhang Y, Huang Y, Tan D, Wang Z, Zhang F, Ming S.   +7 more
europepmc   +1 more source

Machine‐Learning‐Enhanced Printed Vertical Magnetoresistive Sensors for Transparent, Flexible, Multimodal Interactive Magnetoelectronics

Advanced Science, EarlyView.
This study presents printed magnetoresistive sensors with a vertically aligned architecture that enables high optical transparency and mechanical flexibility. By integrating deep learning for the analysis of complex spatiotemporal signal patterns, the system further achieves intelligent multimodal interaction capabilities.
Rui Xu, Guannan Mu, Oleksandr V. Pylypovskyi, Qihao Zhang, Rico Illing, René Hübner, Ran He, Andreas Knüpfer, Sebastian Lehmann, Olha Bezsmertna, Kornelius Nielsch, Denys Makarov   +11 more
wiley   +1 more source

Intelligent optimization of track and field teaching using machine learning and wearable sensors. [PDF]

Sci Rep
Li Y, Wang LI, Wang Z, Liu QI, Qin G, Zhang J.   +5 more
europepmc   +1 more source