Results 151 to 160 of about 23,976 (198)

Evaluation of Sensititre YeastOne for antifungal susceptibility testing of <i>Candida (Candidozyma) auris</i>: misclassification of <i>FKS1</i> mutants and overestimation of caspofungin resistance in a global collection of isolates. [PDF]

J Clin Microbiol
Siopi M, Leventaki S, Pachoulis I, Rentoumi A, Argyris N, Spruijtenburg B, Meijer EFJ, Meis JF, Pournaras S, Tsakris A, Vrioni G, Meletiadis J.   +11 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

Exploring the Potential of Matching-to-Sample-Based Training Protocols to Enhance Language Abilities in Individuals with Language Impairments: A Scoping Review. [PDF]

Int J Lang Commun Disord
Maes JHR, Scheper AR, Hermans D, Vissers CTWM.   +3 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

Use of the test-negative design to estimate the protective effect of a scalar immune measure: a simulation analysis. [PDF]

Am J Epidemiol
Zhang Z, Boyer CB, Lipsitch M.
europepmc   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

Functional shotgun metagenomic insights into gut microbial pathway and enzyme disruptions linking metabolism, affect, cognition, and suicidal ideation in major depressive disorder. [PDF]

Acta Neuropsychiatr
Maes M, Almulla AF, Vasupanrajit A, Jirakran K, Tunvirachaisakul C, Maes A, Chanchaem P, Klomkliew P, Payungporn S, Zhang Y.   +9 more
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Local Spin Density Approximation Strongly Improved by a Better-Informed Local Scaling of Its Self-Interaction Correction. [PDF]

J Chem Theory Comput
Shahi C, Maniar R, Ning J, Sah RK, Pederson MR, Ruzsinszky A, Peralta JE, Jackson KA, Perdew JP.   +8 more
europepmc   +1 more source

AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes

Advanced Intelligent Discovery, EarlyView.
To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song, Xinmin Li, Hongbo Yu, Le Xiong, Guixia Liu, Weihua Li, Yun Tang   +6 more
wiley   +1 more source