Results 121 to 130 of about 5,177,241 (299)

Baseline Neuroinflammation Stratifies TSPO‐PET Response to Disease‐Modifying Therapy in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate which baseline clinical and imaging characteristics best predict TSPO‐PET‐measurable reduction in glial activation following treatment of multiple sclerosis (MS), to utilize this information for designing more efficient biomarker‐based clinical trials targeting glial activation.
Marlene T. Morch, Markus Matilainen, Giulia N. Baldrighi, Marjo Nylund, Maija Saraste, Laura Airas   +5 more
wiley   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Multi-parameter regression survival models

, 2014
In general, parametric regression models can be motivated by allowing the parameters of a probability distribution to depend on covariates. Furthermore, it is standard practice to relate covariates to one parameter of particular interest; we will refer ...
Burke, Kevin, Kevin Burke (12352042)
core  

Multi-parameter Module Approximation: an efficient and interpretable invariant for multi-parameter persistence modules with guarantees

Journal of Applied and Computational Topology
In this article, we introduce a new parameterized family of topological descriptors, taking the form of candidate decompositions, for multi-parameter persistence modules, and we identify a subfamily of these descriptors, that we call approximate decompositions, that are controllable approximations, in the sense that they preserve diagonal barcodes ...
Loiseaux, David, Carrière, Mathieu, Blumberg, Andrew   +2 more
openaire   +4 more sources

Global Rather Than Vertical‐Selective Saccadic Abnormalities in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To test whether vertical saccades are preferentially affected in Progressive Supranuclear Palsy (PSP). Methods PSP patients (n = 24) were compared to age‐matched controls (n = 94) and two degenerative groups (Alzheimer's disease, n = 20; Lewy body disease, n = 50).
Duy Duan Nguyen, Mark Paine, Soohyun Lee, Amir Fazlollahi, Baibin (Ben) Wang, John D. O'Sullivan, Peter J. Nestor   +6 more
wiley   +1 more source

Prediction method of coalbed methane enrichment area based on multi parameter fusion

Meitan kexue jishu
Coalbed methane (CBM) is a kind of gas reservoir which mainly exists in coal reservoirs in adsorption state. The prediction of coalbed methane enrichment area by seismic exploration is an important method to reduce the exploration risk and improve the ...
Tao WANG, Shuwei WANG, Xianxu ZHANG, Xiangpeng ZHANG, Rui SHAN   +4 more
doaj   +1 more source

Vissim: A Multi-Parameter Sensitivity Analysis [PDF]

Proceedings of the 2006 Winter Simulation Conference, 2006
Nicholas E. Lownes, Randy Machemehl
openaire   +2 more sources

Integrated PANoptosis Profiling Identifies Immunosuppressive Subtypes and a Prognostic Signature With Functional Validation of MLKL in Glioblastoma

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian, Minghui Zhao, Yuanbo Hu, Kaiyue Wang, Haiguang Liu, Zetong Bai, Kebin Zheng   +6 more
wiley   +1 more source

Re‐Purposing Sapropterin (Kuvan) for ACTA2‐Related Multisystemic Smooth Muscle Dysfunction Syndrome: A Translational Mechanistic and First‐In‐Human Therapeutic Report

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Multisystemic smooth muscle dysfunction syndrome (MSMDS) is an ultra‐rare, ACTA2‐related disorder characterized by severe cerebrovascular disease, aortic aneurysms, and smooth muscle dysfunction. Using molecular dynamics simulations and in silico drug screening, we identified that sapropterin dihydrochloride (Kuvan) is a candidate capable of ...
Moran Hausman‐Kedem, Noa Bielopolski, Vijai Krishnan, Shane Wald‐Altman, Shelly I Shrian, Omer Bar‐Yosef, Livia Kapusta, Claire Shamber, Patricia L. Musolino, Miguel Weil   +9 more
wiley   +1 more source

Aspects of self-adaptive control using parameter perturbation techniques [PDF]

This thesis is concerned with the performance of a method of simultaneous identification and optimization of a control system, employing a parameter perturbation technique.
Pawley, Anthony John Robert
core