Results 181 to 190 of about 349,619 (290)
Artificial intelligence-enabled electrocardiography for assessment of left ventricular systolic dysfunction in the era of foundation models. [PDF]
Bollmann A +10 more
europepmc +1 more source
Aims This study aimed to evaluate the safety, tolerability and pharmacokinetics of a novel oral modified‐release psilocybin formulation (REL‐P11) in normal‐weight and overweight/obese healthy adults and to assess its suitability for controlled, subperceptual exposure, in light of emerging evidence supporting serotonergic modulation in metabolic ...
Anna Signor +11 more
wiley +1 more source
Seeing Beyond the Surface: ECG Clues of Multilayer Arrhythmogenic Substrate. [PDF]
Endo B, Konstantinidis K.
europepmc +1 more source
PMcardio-Assisted ECG Interpretation in Non-ST-Elevation Acute Coronary Syndrome: A Case Report. [PDF]
Wouters K +7 more
europepmc +1 more source
NP‐SF, designed to target macrophage Dectin‐1 and activated platelets, selectively accumulated in ischemic myocardium, where it was taken up by macrophages after platelet hitchhiking. By inhibiting NLRC5‐related PANoptosis, NP‐SF significantly attenuated pathological damage, and effectively preserved cardiac function in a murine ischemia–reperfusion ...
Guanye Yu +13 more
wiley +1 more source
The Athlete's ECG: Sport-Specific Patterns, Physiological Remodeling, and Clinical Interpretation. [PDF]
Ferrari F +4 more
europepmc +1 more source
Deep learning methods for ECG signals classification
openIn questa tesi si espone il progetto svolto durante il tirocinio nell’azienda M31, il cui obiettivo era di costruire un modello di deep learning (di tipo LSTM) in grado di distinguere dei segnali ECG su 12 derivazioni, di un database privato in ...
GORGHETTO, RACHELE
core
ABSTRACT This study investigates the influence of green servant leadership (GSL) on green service innovation (GSI) in Ghana's hospitality sector, focusing on the mediating role of psychological empowerment (PE) and the moderating role of employee green creativity (EGC).
Edward Fosu, Deborah Asiedu
wiley +1 more source
Artificial intelligence-based neonatal heart rate monitoring technologies: Systematic review. [PDF]
Soni P, Yadav MK, Kumar S, Bansal BK.
europepmc +1 more source

