Results 291 to 300 of about 1,168,358 (338)

Bridging data gaps of rare conditions in ICU: a multi-disease adaptation approach for clinical prediction. [PDF]

NPJ Digit Med
Zhu M, Liu Y, Luo Z, Zhu T.
europepmc   +1 more source

Amyotrophic Lateral Sclerosis Prevalence Projection in 2040: A Less Rare Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To project ALS prevalence across multiple countries through 2040, accounting for both population aging and increased survival. Methods Data from the Piemonte and Valle d'Aosta ALS register (PARALS) was used to estimate the trends in incidence and prevalence from 2005 to 2019. Survival trends over this period were also assessed.
Rosario Vasta, Stefano Callegaro, Antonio Canosa, Umberto Manera, Maurizio Grassano, Francesca Palumbo, Sara Cabras, Enrico Matteoni, Francesca Di Pede, Filippo De Mattei, Salvatore Tafaro, Neil M. Thakur, Ryan Grosenick, Fabiola De Marchi, Letizia Mazzini, Cristina Moglia, Andrea Calvo, Kuldip D. Dave, Adriano Chiò   +18 more
wiley   +1 more source

A Multidimensional Approach to Cereal Caryopsis Development: Insights into Adlay (<i>Coix lacryma-jobi</i> L.) and Emerging Applications. [PDF]

Plants (Basel)
Yang X, Zhang J, Ao M, Lei J, Yang C.
europepmc   +1 more source

Copy Number Variants and Their Association With Intracerebral Hemorrhage Risk: A Case–Control Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Intracerebral Hemorrhage (ICH) is a leading cause of morbidity and mortality worldwide and lacks effective therapeutic interventions. Despite previous studies, the genetic underpinnings of ICH remain poorly understood. We sought to investigate the role of copy number variants (CNVs) in ICH pathophysiology to identify novel ...
Savvina Prapiadou, Carl D. Langefeld, Padmini Sekar, Mary Comeau, Timothy Howard, Tamara N. Kimball, Chen Bowang, Hyacinth I. Hyacinth, Jonathan Rosand, Christopher D. Anderson, Caspar Grond‐Ginsbach, Daniel Woo, Stacie L. Demel   +12 more
wiley   +1 more source

APTES: a high-throughput deep learning-based Arabidopsis phenotypic trait estimation system for individual leaves and siliques. [PDF]

aBIOTECH
Zhai R, Tang N, Liu Z, Tao S, Huang Y, Jiang X, Du A, Wang J, Luo T, Liu J, Garzon-Martınez GA, Corke FMK, Doonan JH, Yang W.   +13 more
europepmc   +1 more source

Phenotyping the hidden half: combining UAV phenotyping and machine learning to predict barley root traits in the field. [PDF]

J Exp Bot
Alahmad S, Smith D, Katsikis C, Aldiss Z, Brunner SM, Meer SV, Meijer L, Heidariask B, Chenu K, Chapman S, Potgieter AB, Wasson A, Baraibar S, Godoy J, Moody D, Robinson H, Hickey LT.   +16 more
europepmc   +1 more source

Correction: Uncovering Social States in Healthy and Clinical Populations Using Digital Phenotyping and Hidden Markov Models: Observational Study.

J Med Internet Res
Leaning IE, Costanzo A, Jagesar R, Reus LM, Visser PJ, Kas MJH, Beckmann CF, Ruhé HG, Marquand AF.   +8 more
europepmc   +1 more source

The importance of accurate phenotyping in large-scale analyses of common disorders such as hearing loss. [PDF]

Eur J Hum Genet
Lewis MA, Schulte BA, Dubno JR, Steel KP.   +3 more
europepmc   +1 more source