Machine learning-driven prediction model for successful weaning of patients from mechanical ventilation in ICU. [PDF]
Qiu C +5 more
europepmc +1 more source
Atomic Size Misfit for Electrocatalytic Small Molecule Activation
This review explores the application and mechanisms of atomic size misfit in catalysis for small molecule activation, focusing on how structural defects and electronic properties can effectively lower the energy barriers of chemical bonds in molecules like H2O, CO2, and N2.
Ping Hong +3 more
wiley +1 more source
MXene dervied CoFe composites show increased initial Oxygen Evolution Reaction (OER) activity compared to the pure CoFe and MXene in an Anion Exchange Membrane device. Vanadium vacancies in the MXene plays a role in increased OER activity and hinders Fe leaching in the AEM device over using the pure V2C MXene as a support material for the CoFe ...
Can Kaplan +16 more
wiley +1 more source
Machine learning mortality prediction model for cyclosporine therapy in pediatric aplastic anemia. [PDF]
Wen X +8 more
europepmc +1 more source
Micropatterned Biphasic Printed Electrodes for High‐Fidelity on‐Skin Bioelectronics
Micropatterned biphasic printed electrodes achieve unprecedented skin conformity and low impedance by combining liquid‐metal droplets with microstructured 3D lattices. This scalable approach enables high‐fidelity detection of ECG, EMG, and EEG signals, including alpha rhythms from the forehead, with long‐term comfort and stability.
Manuel Reis Carneiro +4 more
wiley +1 more source
Integrating machine learning into acupuncture research: a scoping review. [PDF]
Chan W, Huang GJ, Huang CC, Chen YH.
europepmc +1 more source
Interpretable machine learning with multimodal hearing data for diagnosing endolymphatic hydrops. [PDF]
Liu X, Sun Q, Shi S, Gao W, Wang W.
europepmc +1 more source
Development of a machine learning-based model for prediction of diabetes risk in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). [PDF]
Yang S, Mo R, Wang W, Zhen P, Han W.
europepmc +1 more source
Machine-Learning-Based Prediction of Biochemical Recurrence in Prostate Cancer Integrating Fatty-Acid Metabolism and Stemness. [PDF]
Dai Z, Wang N, Liu M, Wang Z, Wei G.
europepmc +1 more source

