Results 181 to 190 of about 126,602 (263)

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source

Modeling the interactive development of sports services and the silver economy in aging societies. [PDF]

Front Public Health
Zhou Q, Su L, Wen Z.
europepmc   +1 more source

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein, Maximilian Mönch, Meret Herdick, Frauke Stascheit, Sarah Hoffmann, Hannah Preßler, Philipp Mergenthaler, Carla Dusemund, Paolo Doksani, Haoqi Sun, Pushpa Narayanaswami, Andreas Meisel, Lea Gerischer, Sophie Lehnerer   +13 more
wiley   +1 more source

Understanding psychiatrist readiness for AI: a study of access, self-efficacy, trust, and design expectations. [PDF]

BMC Health Serv Res
He Y, Zhang FX, Wu X, Fang M, Zheng S, Zhu H.   +5 more
europepmc   +1 more source

Patterns of Postictal Abnormalities in Relation to Status Epilepticus in Adults

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Abnormalities on peri‐ictal diffusion‐weighted magnetic resonance imaging (DWI‐PMAs) are well‐established for patients with status epilepticus (SE), but knowledge on patterns of DWI‐PMAs and their prognostic impact is sparse. Methods This systematic review and individual participant data meta‐analysis included observational studies ...
Andrea Enerstad Bolle, Silvana Sarria‐Estrada, Thomas Bonduelle, Bertram Daniel Dynesen, Manuel Toledo, Zhu Chung Che, Kjell Heuser, Anastasios Chatzikonstantinou, Jérôme Aupy, Udaya Seneviratne, Estevo Santamarina Perez, Christoph Patrick Beier   +11 more
wiley   +1 more source

Probabilistic day-ahead forecasting of system-level renewable energy and electricity demand. [PDF]

Nat Commun
Terrén-Serrano G, Deshmukh R, Martínez-Ramón M.   +2 more
europepmc   +1 more source

Shared Genetic Effects and Antagonistic Pleiotropy Between Multiple Sclerosis and Common Cancers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epidemiologic studies have reported inconsistent altered cancer risk in individuals with multiple sclerosis (MS). Factors such as immune dysregulation, comorbidities, and disease‐modifying therapies may contribute to this variability.
Asli Buyukkurt, Marius Ygonia, Ali Manouchehrinia, Philippe Lefrançois, Ingrid Kockum, Adil Harroud   +5 more
wiley   +1 more source

Impact of accurate load forecasting on electricity market stability in Japan using classical time-series and deep-learning methods. [PDF]

Sci Rep
Rabie D, Moradi M, Xuan W, Farzaneh H.
europepmc   +1 more source

Predicting Loss of Ambulation in Limb Girdle Muscular Dystrophy R9

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Limb girdle muscular dystrophy type R9 (LGMDR9) results from biallelic variants in FKRP. There is limited data to predict loss of ambulation (LOA) among those with LGMDR9. Methods Participants in an ongoing dystroglycanopathy natural history study (NCT00313677) with FKRP variants who had achieved ambulation and were more than 3 ...
Chandra L. Miller, Lauren N. Coffey, Shelley R. H. Mockler, Katie M. Laubscher, Carrie M. Stephan, M. Bridget Zimmerman, Katherine D. Mathews   +6 more
wiley   +1 more source

Deep learning-based battery health prediction for enhancing electric vehicle performance. [PDF]

Sci Rep
Rahman T, Deb N, Moniruzzaman M, Mengash HA, Jizat NM, Rahman AAM, Al-Bawri SS.   +6 more
europepmc   +1 more source