Results 191 to 200 of about 59,972 (229)

Incidence and predictors of major arrhythmic events after myocarditis: a systematic review and meta-analysis. [PDF]

Europace
Morena A, Giacobbe F, Candido-Todesco L, Moretti A, Saglietto A, Bocchino PP, Garot J, Anselmino M, Merlo M, Sinagra G, El-Battrawy I, D'Ascenzo F, Ferraris F, Guenancia C, Nijveldt R, Castagno D, Acha MR, Ng CY, De Lio G, Angelini F, Frea S, Raineri C, Gallone G, Kragholm KH, Ravera F, Huang F, Kerneis M, Pelargonio G, Narducci ML, Imazio M, De Ferrari GM, Dusi V.   +31 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

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

Advanced nursing practice for caring for mothers of children with autism spectrum disorder in the CACTO program. [PDF]

Rev Lat Am Enfermagem
Vale PRLFD, Cerqueira ECS, Melo DV, Dezoti AP, Mazza VA, Carvalho RC, Carvalho ESS.   +6 more
europepmc   +1 more source

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

Advanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi, Yu Kumagai, Arata Takamatsu, Fumiyasu Oba   +3 more
wiley   +1 more source

Internet-based intervention on maternal sleep and anxiety: a randomized clinical trial. [PDF]

Rev Bras Enferm
Lima RBDS, Jesus CF, Barbosa LP.
europepmc   +1 more source

Interpretable Machine Learning for Bandgap Prediction and Descriptor‐Guided Design Rules of Phosphates

Advanced Intelligent Discovery, EarlyView.
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang, Abudukadi Tudi, Ran An, Zhihua Yang   +3 more
wiley   +1 more source

Mathematical Analysis and Experimental Implementation of a Self-Calibration Method for Ultra-Precision Displacement Sensors. [PDF]

Sensors (Basel)
Zhang Z, Liu X, Sato R, Gao W.
europepmc   +1 more source

A Critical Assessment of Bonding Descriptors for Predicting Materials Properties

Advanced Intelligent Discovery, EarlyView.
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik, Nidal Dhamrait, Katharina Ueltzen, Christina Ertural, Philipp Benner, Gian‐Marco Rignanese, Janine George   +6 more
wiley   +1 more source

Facilitators and barriers to implementing a breastfeeding protocol for premature newborns. [PDF]

Rev Bras Enferm
Cunha CMC, Lima EFA, Galvão DMPG, Pontes MB, Almeida MVS, Primo CC.   +5 more
europepmc   +1 more source