Results 121 to 130 of about 138,439 (148)

Artificial Intelligence‐Driven Innovations in Hydrogen Storage Technology

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This review presents a comprehensive overview of recent advancements in hydrogen storage technology, with a particular focus on the integration of high‐throughput screening and machine learning. It primarily covers solid‐state hydrogen storage materials, including metal hydrides, alloys, carbon‐based materials, metal‐organic frameworks, and zeolites ...
Yusong Ding, Lele Tong, Xiaolin Liu, Ying Liu, Yan Zhao   +4 more
wiley   +1 more source

Statistical and reliability analysis of communication disability severity in Saudi Arabia using novel probability distribution. [PDF]

Sci Rep
Al-Essa LA, Ali Al-Shamiri MM, A Almazah MM, Hamdoon FM.   +3 more
europepmc   +1 more source

A phenomap of TTR amyloidosis to aid diagnostic screening

ESC Heart Failure, Volume 12, Issue 2, Page 1113-1118, April 2025.
Abstract Cardiac amyloidosis due to transthyretin (ATTR) remains an underdiagnosed cause of cardiomyopathy. As awareness of the disease grows and referrals for ATTR increase, clinicians are likely to encounter more atypical forms of the condition in clinical practice.
Alexios S. Antonopoulos, Theodoros Tsampras, George Lazaros, Konstantinos Tsioufis, Charalambos Vlachopoulos   +4 more
wiley   +1 more source

Improving maintenance efficiency and controlling costs in healthcare institutions through advanced analytical method. [PDF]

Sci Rep
Li K, Su L, Cheng J, Sun Y, Ma X.
europepmc   +1 more source

Investigating the efficacy of mineralocorticoid receptor antagonists for cardiovascular outcomes in different diseases

ESC Heart Failure, EarlyView.
Abstract Aims Mineralocorticoid receptor antagonists (MRAs) are crucial in managing cardiovascular diseases, with different MRAs demonstrating varying efficacy across diverse disease contexts. This research aims to compare the cardiovascular protective effects of different MRAs across various disease conditions.
Jiao Wang, Meijuan Zheng, Yuchun Yang, Lei Zhang, Muhuyati Wulasihan   +4 more
wiley   +1 more source

Statistical primer: an introduction into the principles of Bayesian statistical analyses in clinical trials. [PDF]

Eur J Cardiothorac Surg
Heuts S, Kawczynski MJ, Velders BJJ, Brophy JM, Hickey GL, Kowalewski M.   +5 more
europepmc   +1 more source

New cardiovascular biomarkers in patients with advanced cancer – A prospective study comparing MR‐proADM, MR‐proANP, copeptin, high‐sensitivity troponin T and NT‐proBNP

European Journal of Heart Failure, EarlyView.
(A) Univariable receiver operating characteristic (ROC) curves for all biomarkers. (B) Kaplan–Meier curves for best cut‐point of mid‐regional pro‐adrenomedullin (MR‐proADM) for survival (n = 442). AUC, area under the curve; CI, confidence interval; HR, hazard ratio; hsTnT, high‐sensitivity troponin T; MR‐proANP, mid‐regional pro‐atrial natriuretic ...
Markus S. Anker, Laura C. Lück, Muhammad Shahzeb Khan, Jan Porthun, Sara Hadzibegovic, Alessia Lena, Ursula Wilkenshoff, Pia Weinländer, Ruben Evertz, Matthias Totzeck, Amir A. Mahabadi, Tienush Rassaf, Stefan D. Anker, Lars Bullinger, Ulrich Keller, Mahir Karakas, Ulf Landmesser, Javed Butler, Stephan von Haehling   +18 more
wiley   +1 more source

A bayesian approach to inclusion based rock physics modeling with multiple statistical ensembles. [PDF]

Sci Rep
Spikes KT, Sen MK.
europepmc   +1 more source

Machine learning approach to identify phenotypes in patients with ischaemic heart failure with reduced ejection fraction

European Journal of Heart Failure, EarlyView.
Summary of the machine learning clustering methodology and results of the study. Clusters are identified using machine learning approach in the learning set population evaluating specific combinations of multiple characteristics. Then identified clusters are predicted and tested in the learning set to evaluate their association with outcomes.
Luca Monzo, Emmanuel Bresso, Kenneth Dickstein, Bertram Pitt, John G.F. Cleland, Stefan D. Anker, Carolyn S.P. Lam, Mandeep R. Mehra, Dirk J. van Veldhuisen, Barry Greenberg, Faiez Zannad, Nicolas Girerd   +11 more
wiley   +1 more source

Analysis of collapse risks under cut and cover method based on multi-state fuzzy Bayesian network. [PDF]

PLoS One
Liu P, Jin X, Shang Y, Zhu J.
europepmc   +1 more source