Results 231 to 240 of about 2,590,945 (307)

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

The multistep pathogenic hypothesis of amyotrophic lateral sclerosis is incompatible with the epidemiological data. [PDF]

Eur J Epidemiol
Foffani G, Urso D, Hiller J, Piccininni M, Marin B, Logroscino G.   +5 more
europepmc   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

Symbolic vs. Structural Precedent after Lisbon: Co-Citation Networks Analysis of CJEU Case Law (2008–2015)

Geremia S, Sardo A.
europepmc   +1 more source

Observation of Transition from Rate Law to Butler-Volmer Controlled Water Oxidation Kinetics on Hematite Photoanodes. [PDF]

J Am Chem Soc
He T, Benetti D, Tseng C, Moss B, Teschner D, Jones TE, Kafizas A, Grätzel M, Piccinin S, Durrant JR.   +9 more
europepmc   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

The coherent structures of EVP fluid flow past a circular cylinder. [PDF]

Theor Comput Fluid Dyn
Corrochano A, Iqbal KT, Parvar S, Le Clainche S, Tammisola O.   +4 more
europepmc   +1 more source

Editorial International & European Environmental Law

Utrecht Journal of International and European Law, 2011
openaire   +5 more sources

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

The Right to Understand in Health Care AI.

J Med Internet Res
Ankolekar A.
europepmc   +1 more source