Results 101 to 110 of about 7,230 (237)

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

A Federated Learning Scheme for Eavesdropper Detection in B5G - IIoT Network Orientations

IEEE Open Journal of the Communications Society
In heterogeneous Beyond 5G (B5G) environments, the adoption of sophisticated Physical Layer (PHY) enhancements, such as Physical Layer Security (PLS) techniques, play a vital role in safeguarding sensitive transmissions against eavesdropping threats ...
Maria Lamprini A. Bartsioka, Ioannis A. Bartsiokas, Panagiotis K. Gkonis, Anastasios K. Papazafeiropoulos, Dimitra-Theodora I. Kaklamani, Iakovos S. Venieris   +5 more
doaj   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Predicting and Rationalizing Piezoelectricity in Racemic Bioorganic Molecular Crystals

Angewandte Chemie, EarlyView.
Racemic molecular crystals, composed of equal mixtures of chiral enantiomeric components, are predicted to exhibit significant piezoelectric responses and favourable mechanical flexibility. This study identifies organic and bioorganic racemates as promising candidates for sustainable, lead‐free materials, enabling next‐generation applications in energy
Shubham Vishnoi, Sarah Guerin
wiley   +2 more sources

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Recent Trends in Metabolomics by NMR Spectroscopy

Angewandte Chemie, EarlyView.
AI tools were applied to analyze more than 5 000 publications indexed in Scopus (2018–2025), identifying key trends and research directions in NMR‐based metabolomics. The artificial intelligence‐assisted workflow classified papers into six main fields of application, human health, food and nutrition, veterinary science, plants, environment, and ...
Giorgio Di Paco, Gaia Meoni, Veronica Ghini, Alessia Vignoli, Leonardo Tenori, Paola Turano, Claudio Luchinat   +6 more
wiley   +2 more sources

Secrecy Performance Analysis of Energy Harvesting Untrusted Relay Networks with Hardware Impairments

International Journal of Distributed Sensor Networks
In this work, we focus on the issue of secure communication in energy harvesting untrusted relay networks taking into account the impact of hardware impairments, where an energy-constrained relay, powered by received radio frequency signals, attempts to ...
Dechuan Chen, Jin Li, Jianwei Hu, Xingang Zhang, Shuai Zhang, Dong Wang   +5 more
doaj   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Accelerated Discovery‐to‐Unveiling of High‐Performance and Affordable Ammonia Electrode Process by Human–Machine Collaboration Framework

Angewandte Chemie, EarlyView.
By employing dimensionally reduced reaction descriptors, a human–machine collaboration framework for efficient electrochemical nitrate reduction to NH3 electrocatalysts screening is established and drastically shorten the discovery timeframe. A new kinetic model is established in combination with a rotating ring‐disk electrode, unveiling the pivotal ...
Yingying Cheng, Masaki Takeguchi, Abraham Castro Garcia, Ken Sakaushi   +3 more
wiley   +2 more sources