Results 201 to 210 of about 522 (253)

SPARCL1 and NT‐proBNP as biomarkers of right ventricular‐to‐pulmonary artery uncoupling in pulmonary hypertension

open access: yesESC Heart Failure, Volume 12, Issue 2, Page 1416-1426, April 2025.
Abstract Aims SPARCL1 was recently identified as a biomarker of right ventricular (RV) maladaptation in patients with pulmonary hypertension (PH), and N‐terminal pro‐brain natriuretic protein (NT‐proBNP) is an established biomarker of RV failure in PH. The present study investigated whether NT‐proBNP and SPARCL1 concentrations are associated with load ...
Oliver Dörr   +15 more
wiley   +1 more source

A guide to neuromodulation in drug‐resistant epilepsy

open access: yesEpileptic Disorders, EarlyView.
Abstract Neuromodulation is approved for the treatment of drug‐resistant epilepsy. It has been increasingly utilized over the past two decades with the approval of deep brain stimulation (DBS) and responsive neurostimulation (RNS) in addition to vagus nerve stimulation (VNS)—particularly in patients who are not deemed to be good resective surgical ...
Prachi Parikh   +10 more
wiley   +1 more source

Effect of humidity incorporation on the development of a ground enhancement material. [PDF]

open access: yesSci Rep
Ángeles HM   +6 more
europepmc   +1 more source

Seizure forecasting: The long and winding road to clinical translation

open access: yesEpilepsia, EarlyView.
Abstract Seizure forecasting has progressed from theoretical aspiration to a rapidly advancing research domain, yet clinical translation remains limited. Over the past decades, advances in algorithm development, chronic electroencephalography (EEG), wearable sensors, and the characterization of seizure cycles have demonstrated that seizure risk is not ...
Philippa J. Karoly   +7 more
wiley   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

open access: yesEpilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida   +5 more
wiley   +1 more source

Impact of donor mare and stallion identity on the likelihood of pregnancy after transfer of in vitro produced embryos

open access: yesEquine Veterinary Journal, EarlyView.
Abstract Background The success of in vitro embryo production (IVEP) is influenced by donor mare and stallion. Objectives To determine whether donor mare and stallion influence the pregnancy rate after transfer of in vitro produced (IVP) blastocysts and to identify factors influencing the likelihood of obtaining one or more pregnancies from a single ...
M. Papas   +11 more
wiley   +1 more source

“Effects of High‐Intensity Ultrasound on the Structural, Technofunctional, and Allergenic Properties of Groundnut (Arachis hypogaea L.) Protein Isolates: A Review”

open access: yesFood Chemistry International, EarlyView.
ABSTRACT The growing global demand for sustainable, nutritionally balanced protein sources has intensified interest in plant‐derived proteins, particularly those derived from oilseeds such as groundnut (Arachis hypogaea L.). However, although groundnut protein isolates (GPIs) have high nutritional quality, they exhibit limitations in technofunctional ...
Ángel Efraín Rodríguez Rivera   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy