Results 241 to 250 of about 736,304 (285)

Biomarker‐Agnostic Detection of Ovarian Cancer from Blood Plasma Using a Machine Learning‐Driven Electronic Nose

Advanced Intelligent Systems, EarlyView.
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk, Lingyin Meng, Christer Borgfeldt, Jens Eriksson, Donatella Puglisi   +4 more
wiley   +1 more source

NERHF: a hybrid machine learning-driven efficient credit risk control framework. [PDF]

Sci Rep
Wei L, Dong J, Yu H.
europepmc   +1 more source

RanBALL: An Ensemble Machine Learning Framework for Accurate Subtype Identification of Pediatric B‐Cell Acute Lymphoblastic Leukemia

Advanced Intelligent Systems, EarlyView.
Here, we present RanBALL, an ensemble random projection‐based model for accurate and cost‐effective identification of B‐cell acute lymphoblastic leukemia subtypes is presented. By preserving patient‐to‐patient distance after dimension reduction by random projection and ensemble learning, RanBALL can facilitate the discovery of B‐ALL subtype‐specific ...
Lusheng Li, Hanyu Xiao, Xinchao Wu, Zhenya Tang, Joseph D. Khoury, Jieqiong Wang, Shibiao Wan   +6 more
wiley   +1 more source

Bayesian Models to Generate Small Area Estimates of Population Health: Tutorial for Using Rate Stabilizing Tools and Their Output.

JMIR Public Health Surveill
DeLara D, Zomorrodi R, Quick H, Tootoo J, Li R, Baker J, Kwon J, Casper M, Vaughan A.   +8 more
europepmc   +1 more source

SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery

Advanced Intelligent Systems, EarlyView.
SciLitMiner is an intelligent system that federately ingests scientific literature, filters it using advanced information retrieval methods, and applies retrieval‐augmented generation tailored to scientific domains. Demonstrated on creep deformation in γ‐TiAl alloys, SciLitMiner provides a controlled workflow for systematic knowledge discovery and ...
Vipul Gupta, Jonathan David Heaton Paul, Ingo Schmitt, Florian Pyczak   +3 more
wiley   +1 more source

Robust uncertainty quantification in popular estimators of the instantaneous reproduction number. [PDF]

Am J Epidemiol
Steyn N, Parag KV.
europepmc   +1 more source

Phylogenomics reveals the evolution of floral traits associated with pollinators and pollinator–prey conflict within the carnivorous Pinguicula subgenus Temnoceras

American Journal of Botany, EarlyView.
Abstract Premise The carnivorous plant genus Pinguicula (Lentibulariaceae) exhibits remarkable floral diversity associated with pollination, particularly in the largest subgenus Temnoceras, which spans Mexico and Central America. Despite this diversity, the relationships between species and the evolution of key floral traits remain unresolved. Here, we
Yunjia Liu, Qianshi Lin, Steven J. Fleck, Martín Mata‐Rosas, Enrique Ibarra‐Laclette, Tanya Renner   +5 more
wiley   +1 more source

Mapping content and dynamics in the stream of consciousness through latent brain state analysis. [PDF]

iScience
Yu Y, Raffaelli Q, Freveletti D, Brossart JJ, Andrews E, Wilcox RR, Grilli MD, Andrews-Hanna JR.   +7 more
europepmc   +1 more source

Schizophrenia Genetics Modulates Clinical Depressive Features

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT Schizophrenia (SCZ) genetic liability, quantified by polygenic scores (PGS), may influence clinical phenotypes in major depressive disorder (MDD). We investigated the effect of the SCZ‐PGS derived from the latest SCZ genome‐wide association study (GWAS) on MDD symptom severity, comorbidities, and treatment outcomes.
Alessandro Serretti, Daniel Souery, Siegfried Kasper, Joseph Zohar, Stuart Montgomery, Panagiotis Ferentinos, Dan Rujescu, Raffaele Ferri, Giuseppe Fanelli, Chiara Fabbri, Raffaella Zanardi, Francesco Benedetti, Bernhard T. Baune, Julien Mendlewicz   +13 more
wiley   +1 more source

Time-resolved functional connectivity during visuomotor graph learning. [PDF]

Neuroimage
Loman S, Caciagli L, Patankar SP, Kahn AE, Szymula KP, Nyema N, Bassett DS.   +6 more
europepmc   +1 more source