Results 101 to 110 of about 5,923,968 (244)

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella, Veria Vacchiano, Vittorio Velucci, Stefano Zoccolella, Rocco Liguori, Giovanni Defazio   +5 more
wiley   +1 more source

ORACLE: A Real-time, Hierarchical, Deep Learning Photometric Classifier for the LSST

The Astrophysical Journal
We present the Online Ranked Astrophysical CLass Estimator (ORACLE), the first hierarchical deep-learning model for real-time, context-aware classification of transient and variable astrophysical phenomena. ORACLE is a recurrent neural network with gated
Ved G. Shah, Alex Gagliano, Konstantin Malanchev, Gautham Narayan, Alex I. Malz, and the LSST Dark Energy Science Collaboration   +5 more
doaj   +1 more source

Association Between Neurofilament Light Chain and Real‐World Ambulatory Function in Progressive MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neurofilament light chain (NfL) is a biomarker of neuroaxonal injury in multiple sclerosis (MS), yet associations with functional outcomes remain unclear. Longitudinal associations between serum NfL (sNfL) and daily step count (STEPS) from wearable devices were assessed in a large international progressive MS cohort.
Gabby B. Joseph, Megan McCune, Riley Bove, Ahmed Abdelhak, Bruce A. C. Cree, Valerie J. Block   +5 more
wiley   +1 more source

FALCO: Foundation Model of Astronomical Light Curves for Time Domain Astronomy. Implementation and Applications on Kepler Data

The Astronomical Journal
Time-domain surveys have advanced astronomical research by revealing diverse variable phenomena, from stellar flares to transient events. The scale and complexity of survey data, along with the demand for rapid classification, present significant ...
Xiaoxiong Zuo, Yihan Tao, Yang Huang, Zhixuan Kang, Huaxi Chen, Chenzhou Cui, Jiashu Pan, Xiao Kong, Yuan-Sen Ting, Xiaoyu Tang, Henggeng Han, Haiyang Mu, Yunfei Xu, Dongwei Fan, Guirong Xue, Ali Luo, Jifeng Liu   +16 more
doaj   +1 more source

Subjective Cognitive Concerns and Cognitive Trajectories in Parkinson's Disease: Biomarker Impact

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the relationship of subjective cognitive concerns (SCC) with biomarkers of Alzheimer's disease (AD), neurodegeneration, and Parkinson's disease (PD) and domain‐specific cognitive trajectories among cognitively unimpaired persons with de novo PD. Method Cognitively unimpaired participants with SCC (n = 294) and without SCC (
Francesca V. Lopez, Fareshte Erani, Katherine J. Bangen, David G. Coughlin, Douglas Galasko, Kelsey R. Thomas   +5 more
wiley   +1 more source

Early Clinical and Cerebrospinal Fluid Predictors of 1‐Year Recurrence in Autoimmune GFAP Astrocytopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Autoimmune glial fibrillary acidic protein astrocytopathy (GFAP‐A) is an inflammatory central nervous system disorder with variable outcomes. Relapse occurs in a subset of patients, but early predictors remain unclear. We aimed to identify admission‐available features associated with 1‐year recurrence and develop an interpretable ...
Qingting Hong, Yuping Xiao, Yuhan Wu, Ziyuan Huang, Weishan Liang, Li Xiao, Yaqing Shu, Tingting Lu, Yanyu Chang, Wei Qiu, Yuge Wang   +10 more
wiley   +1 more source

A colonial serrated polyp classification model using white-light ordinary endoscopy images with an artificial intelligence model and TensorFlow chart

BMC Gastroenterology
In this study, we implemented a combination of data augmentation and artificial intelligence (AI) model—Convolutional Neural Network (CNN)—to help physicians classify colonic polyps into traditional adenoma (TA), sessile serrated adenoma (SSA), and ...
Tsung-Hsing Chen, Yu-Tzu Wang, Chi-Huan Wu, Chang-Fu Kuo, Hao-Tsai Cheng, Shu-Wei Huang, Chieh Lee   +6 more
doaj   +1 more source

Video (sound only, no image) of a man remembering taking part in a play at Curve

, 2014
A video (duration 34 seconds) with the image blanked out , the audio is a man talking about his positive memories of taking part in the play "East" by Stephen Berkoff at Curve, directed by Paul Kerryson, and how the experience influenced his future.When ...
Anonymous;
core  

Cracking the Code: Which Ocular Symptoms Predict Dry Eye Signs? Insights From a Large International Sicca Registry

Arthritis Care &Research, EarlyView.
Objective The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögren's International Collaborative Clinical Alliance (SICCA) cohort. Methods We performed a retrospective analysis examining 16 ocular symptoms (most graded 0–4) and artificial tear (AT) use (graded 0–3) as predictors of DED signs (abnormal ocular ...
Pragnya R. Donthineni, Chloe Shields, Rohit Muralidhar, Shreya Bhatt, Alan Baer, Robert Fox, Sara S. McCoy, Anat Galor   +7 more
wiley   +1 more source

Rainbow: a colorful approach on multi-passband light curve estimation

International audienceWe present Rainbow, a physically motivated framework which enables simultaneous multi-band light curve fitting. It allows the user to construct a 2-dimensional continuous surface across wavelength and time, even in situations where ...
V. S. Korolev, Korolev, V. S., P. D. Aleo, Aleo, P.D, Sreejith, S, Korolev, V.S, Ishida, E.E.O, E. E. O. Ishida, Malanchev, K. L., M. V. Pruzhinskaya, Gangler, E., Lavrukhina, A.D, Sreejith, S., Semenikhin, T., Volnova, A.A, Russeil, E., Ishida, E. E. O., Volnova, A. A., S. Sreejith, Semenikhin, T, E. Russeil, Pruzhinskaya, M.V, A. Voloshina, Voloshina, A., K. L. Malanchev, M. V. Kornilov, E. Gangler, Gangler, E, Voloshina, A, A. D. Lavrukhina, T. Semenikhin, Kornilov, M. V., A. A. Volnova, Aleo, P. D., Lavrukhina, A. D., Malanchev, K.L, Kornilov, M.V, Pruzhinskaya, M. V., Russeil, E   +38 more
core   +1 more source