Results 181 to 190 of about 14,437 (267)
This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou +8 more
wiley +1 more source
Design of an in-pipe inspection robotic system (IPIRS) with YOLOv8-LSTM integration for real-time in-pipe navigation. [PDF]
Elkholy H +3 more
europepmc +1 more source
This study introduces a foundation model‐based biomarker for risk stratification of pathological response in non‐small cell lung cancer. A Vision Mamba super‐resolution model standardizes heterogeneous CT images. A multi‐task Swin Transformer then fine‐tunes a pre‐trained lung foundation model to jointly optimize tumor segmentation and response ...
Yanglan Xu +10 more
wiley +1 more source
A multi-scale transformer-enhanced YOLO framework for unified road damage detection and boundary-aware segmentation. [PDF]
Kulambayev B, Olzhayev O, Suliman A.
europepmc +1 more source
Lessons From Drug Discovery for Cryoprotective Agent Design: An AI‐Oriented Perspective
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 +4 more
wiley +1 more source
Airborne Intelligent System for Abnormal Pig Behavior Identification and Locking. [PDF]
Wang Y +5 more
europepmc +1 more source
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source
Interpretable intrusion detection for IoT: a CNN-BiLSTM permutation importance framework for deep feature selection. [PDF]
Al-Shibly I, Burgas L, Massana J.
europepmc +1 more source
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao +9 more
wiley +1 more source
Trustworthy intelligent rooms: integrating blockchain, federated learning, and data-centric AI for healthcare 4.0. [PDF]
Veerapaneni RK, Delhibabu R.
europepmc +1 more source

