Results 181 to 190 of about 158,066 (263)

Neonatal malnutrition, body composition, and childhood obesity in critically ill infants. [PDF]

Matern Health Neonatol Perinatol
Ta AD, Fu TT, Goddard GR, McNelis K.
europepmc   +1 more source

Comparisons of climate metrics (in natural units: °C, days or mm) assuming a single variety’s phenology (Pinot noir) for all regions (horizontal-axis), versus adjusting by a region’s variety plantings (vertical-axis), colored by world regions (as show in Fig 2), using climate data from 1980 onward.

E. M. Wolkovich (21402817), Benjamin I. Cook (2933565), Iñaki García de Cortázar-Atauri (21402820), Victor Van der Meersch (21402823), Thierry Lacombe (412830), Cécile Marchal (16673937), Ignacio Morales-Castilla (740024)   +6 more
openalex   +1 more source

Totally geodesic property of the unit tangent sphere bundle with g-natural metrics

, 2018
E. Peyghan, Farshad Firuzi
openalex   +1 more source

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

Challenges and Recommendations for Electronic Health Records Data Extraction and Preparation for Dynamic Prediction Modeling in Hospitalized Patients: Practical Guide and Tutorial.

J Med Internet Res
Albu E, Gao S, Stijnen P, Rademakers FE, van Bussel BC, Collyer T, Hernandez-Boussard T, Wynants L, Van Calster B.   +8 more
europepmc   +1 more source

Assessing the agreement of radiomic tools for dosiomics: A multi-software comparative study. [PDF]

Med Phys
Bettinelli A, Marturano F, Pirrone G, Gioscio E, Avanzo M, Fanizzi A, Garibaldi C, Massafra R, Menghi E, Placidi L, Rancati T, Paiusco M.   +11 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

Comparison of metrics of neonatal intensive care unit antibiotic use. [PDF]

Infect Control Hosp Epidemiol
Zevallos Barboza A, Mukhopadhyay S, Puopolo KM, Shu D, Gerber JS, Flannery DD.   +5 more
europepmc   +1 more source

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

The F score ranks diagnostic tests and prediction models inconsistently with their clinical utility. [PDF]

Diagn Progn Res
Assel M, Vickers A.
europepmc   +1 more source