Results 131 to 140 of about 1,932,370 (313)

Fluid and Neuroimaging Biomarkers in Microgliopathy Colony‐Stimulating Factor‐1 Receptor‐Related Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aims to identify both fluid and neuroimaging biomarkers for CSF1R‐RD that can inform the optimal timing of treatment administration to maximize therapeutic benefit, while also providing sensitive quantitative measurements to monitor disease progression.
Tomasz Chmiela, Madison Reeves, Karen Jansen‐West, Judith Dunmore, Yuping Song, Audrey Strongosky, Sunil Gandhi, Gilana Pikover, Matt Blurton‐Jones, Robert C. Spitale, Erik H. Middlebrooks, Leonard Petrucelli, Mercedes Prudencio, Zbigniew K. Wszolek   +13 more
wiley   +1 more source

Detection of COVID-19 Using Deep Learning Techniques and Cost Effectiveness Evaluation: A Survey. [PDF]

Front Artif Intell, 2022
M V MK, Atalla S, Almuraqab N, Moonesar IA.   +3 more
europepmc   +1 more source

Evaluating Regulatory Impact Analyses [PDF]

Federal agencies in the United States are required to prepare regulatory impact analyses (RIAs) for every major regulatory action they undertake. Increasingly, other OECD countries are imposing similar requirements.
Harrington, Winston, Morgenstern, Richard   +1 more
core  

Inhibition of Classical and Alternative Complement Pathway by Ravulizumab and Eculizumab

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the feasibility of classical (CH50) and alternative (AH50) complement pathway activity as potential biomarkers for treatment guidance and monitoring during therapy with ravulizumab in patients with generalized myasthenia gravis (gMG) and compare these to therapeutic drug monitoring under eculizumab.
Lea Gerischer, Frauke Stascheit, Maximilian Mönch, Paolo Doksani, Carla Dusemund, Meret Herdick, Philipp Mergenthaler, Maike Stein, Amani Suboh, Jutta Schröder‐Braunstein, Guido Wabnitz, Jan D. Lünemann, Sophie Lehnerer, Sarah Hoffmann, Andreas Meisel   +14 more
wiley   +1 more source

Cost-effectiveness analysis of paricalcitol versus calcitriol for the treatment of SHPT in dialytic patients from the SUS perspective

Brazilian Journal of Nephrology
Introduction: Secondary hyperparathyroidism (SHPT) is a consequence of chronic kidney disease. The treatment at the Brazilian Unified Heath System (SUS) is performed with calcitriol, a drug which favors hypercalcemia and/or hyperphosphatemia, hindering ...
Fabiana Gatti de Menezes, Rodrigo Martins Abreu, Alexander Itria   +2 more
doaj   +1 more source

Discrete Event Simulation Model for Cost-Effectiveness Evaluation of Screening for Asymptomatic Patients with Lower Extremity Arterial Disease. [PDF]

Int J Environ Res Public Health, 2022
Kamenský V, Rogalewicz V, Gajdoš O, Donin G.   +3 more
europepmc   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Acupuncture and Moxibustion for Peripheral Neuropathic Pain: A Frequentist Network Meta-Analysis and Cost-Effectiveness Evaluation. [PDF]

Evid Based Complement Alternat Med, 2022
Zhao W, Huang H, Liu K, Wang S, Lin S, Long W, Li L, Zeng J, Lin G.   +8 more
europepmc   +1 more source

Instrument Choice in Environmental Policy [PDF]

We examine the extent to which various environmental policy instruments meet major evaluation criteria, including cost-effectiveness, distributional equity, minimization of risk in the presence of uncertainty, and political feasibility.
Goulder, Lawrence H., Parry, Ian W.H.
core  

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source