Results 211 to 220 of about 112,717 (277)

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

Input Layer Regularization and Automated Regularization Hyperparameter Tuning for Myelin Water Estimation Using Deep Learning. [PDF]

NMR Biomed
Modi M, Sule S, Palumbo J, Rozowski M, Hampton GS, Bouhrara M, Czaja W, Spencer RG.   +7 more
europepmc   +1 more source

Auditory Hyperresponsivity in Chronic Back Pain: A Randomized Controlled Trial of Pain Reprocessing Therapy

Annals of Neurology, EarlyView.
Objective Heightened sensitivity to noxious stimulation is a hallmark of chronic pain. Emerging evidence suggests heightened unpleasantness to non‐noxious (eg, auditory) aversive stimulation also characterizes chronic pain, but its magnitude, neural mechanisms, and treatment modifiability remain unknown.
Alina E. C. Panzel, Christian Büchel, Andrew Leroux, Tor D. Wager, Yoni K. Ashar   +4 more
wiley   +1 more source

Bayesian Image Analysis in Fourier Space. [PDF]

J Am Stat Assoc
Kornak J, Young K, Friedman E, Bakas K.
europepmc   +1 more source

Multimodal Image Guidance in Subthalamic Deep Brain Stimulation for Parkinson's Disease

Annals of Neurology, EarlyView.
Objective Accurate electrode placement and individual stimulation parameters influence the outcomes of subthalamic deep brain stimulation in Parkinson's disease. Neuroimaging‐based models can help evaluate how electrode placement impacts improvement, aiming to reduce the burden of programming.
Patricia Zvarova, Christina van der Linden, Ningfei Li, Konstantin Butenko, Thea Berger, Garance M. Meyer, Ilkem Aysu Sahin, Lukas L. Goede, Bahne H. Bahners, Barbara Hollunder, Till A. Dembek, Andrew R. Pines, Martin Reich, Jens Volkmann, Vincent J. J. Odekerken, Rob M. A. de Bie, Xin Xu, Zhipei Ling, Chen Yao, Andrea A. Kühn, Surjo R. Soekadar, Kerstin Ritter, Michael T. Barbe, Veerle Visser‐Vandewalle, Michael D. Fox, Jan Niklas Petry‐Schmelzer, Nanditha Rajamani, Andreas Horn   +27 more
wiley   +1 more source

Distributed Nonparametric Regression with Heterogeneity Through Prediction-Based Aggregation. [PDF]

J Comput Graph Stat
Chen Z, Li R, Xu Y.
europepmc   +1 more source

Impact of Noise on Deep Learning-Based Pseudo-Online Gesture Recognition with High-Density EMG

Taleshi M, Yeung D, Trong MD, Negro F, Deny S, Vujaklija I.   +5 more
europepmc   +1 more source

Simulation of Dense Star Map in Deep Space Based on Gaia Catalogue. [PDF]

Sensors (Basel)
Li P, Bao G, Zhou Z, Gong J.
europepmc   +1 more source

Inter‐microscope comparability of dental microwear texture data obtained from different optical profilometers: Part II Deriving instrument‐specific correction equations for meta‐analyses using published data

The Anatomical Record, EarlyView.
Abstract Dental microwear texture analysis (DMTA) has emerged as a valuable method for investigating the feeding ecology of vertebrates. Over the past decade, three‐dimensional topographic data from microscopic regions of tooth surfaces have been collected, and surface texture parameters have been published for both extant and fossil species.
Mugino O. Kubo, T. Kubo, Ellen Schulz‐Kornas, T. M. Kaiser, Daniela E. Winkler   +4 more
wiley   +1 more source