Results 31 to 40 of about 29,306 (76)

Multiparametric MRI radiomics for noninvasive risk stratification of pediatric neuroblastoma: a pilot study. [PDF]

Sci Rep
Anders MS, Mollica F, Meyer T, Tahan R, Deubzer HE, Veldhoen S, Metz C.   +6 more
europepmc   +1 more source

Co-exposure to polystyrene nanoparticles and tetrabromobisphenol A induces genotoxicity and interferes with intestinal barrier differentiation. [PDF]

Cell Biol Toxicol
Soto-Bielicka P, Sanz-Alférez S, Hazen MJ, Fernández Freire P, Peropadre A.   +4 more
europepmc   +1 more source

An EEG-based fatigue detection framework integrating interpretable feature selection and efficient temporal modeling. [PDF]

Front Neurosci
Jiang X, Chen L, Zhao X, Chen T, Chu M, Wu H, Gao X.   +6 more
europepmc   +1 more source

Machine learning prediction of physician-assigned treatment categories from pre-procedural electronic medical record data in cardiac patients: A multiclass classification study. [PDF]

PLOS Digit Health
Tanhaei M.
europepmc   +1 more source

The functional role of the circular RNA circCDR1as targeting SERCA2a in the progression of pathological cardiac hypertrophy and heart failure. [PDF]

J Transl Med
Wang J, Liao W, Li H, Wang Z, Li X, Zhao X, Li P, Zhang M, Duan C, Wang J, Lv C, Chen Z, Du H, He X, Hao X, Zhang Y, Zhang Y, Yuan Y, Du Z.   +18 more
europepmc   +1 more source

Glial Dysfunction and Memory Impairments in a Model of Pediatric Obstructive Sleep Apnea. [PDF]

Glia
Williamson MR, Botas J, Hedayatpour MJ, Zlatkov T, Harmanci AS, Yates CJ, Nobleza K, Ailani R, Adler AC, Kheradmand F, Lee HK, Deneen B, Jeong HH, Chandrakantan A.   +13 more
europepmc   +1 more source

Harnessing machine learning for functional connectivity-based feature discovery in post-traumatic epilepsy. [PDF]

Neuroimage Rep
Ho A, Valdivia DJ, Noren H, Cantarutti J, Jain P, Zink T, Ercan K, Narra K, Yohn C, Scarisbrick DM, Biswal B, Chen S, Sun H.   +12 more
europepmc   +1 more source

EEG-based deep learning estimates preterm infants' cerebral age: Contribution of slow-wave and cross-frequency coupling. [PDF]

iScience
Gallard A, Billiot A, Bourel-Ponchel É, Brunel P, Chazal C, Kongolo G, Ghostine G, Wallois F, Routier L, Moghimi S.   +9 more
europepmc   +1 more source

Deep Learning Models for FAMACHA©-Based Anemia Screening in Goats. [PDF]

Animals (Basel)
Hilaire M, Bramantyo HA, Chamoun S, Sun Y, Wang H, Chaudhary S, Kanyi V, Ismael H, Abdo H, Min BR.   +9 more
europepmc   +1 more source