Results 131 to 140 of about 263,230 (266)

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

Bonobos point more for ignorant than knowledgeable social partners. [PDF]

Proc Natl Acad Sci U S A
Townrow LA, Krupenye C.
europepmc   +1 more source

Neural Mechanisms for Accepting and Rejecting Artificial Social Partners in the Uncanny Valley. [PDF]

J Neurosci, 2019
Rosenthal-von der Pütten AM, Krämer NC, Maderwald S, Brand M, Grabenhorst F.   +4 more
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

Orangutans and chimpanzees produce morphologically varied laugh facesin response to the age and sex of their social partners. [PDF]

Sci Rep
Crepaldi F, Rocque F, Dezecache G, Proops L, Davila-Ross M.   +4 more
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

Validating Rat Model of Empathy for Pain: Effects of Pain Expressions in Social Partners. [PDF]

Front Behav Neurosci, 2018
Li CL, Yu Y, He T, Wang RR, Geng KW, Du R, Luo WJ, Wei N, Wang XL, Wang Y, Yang Y, Yu YQ, Chen J.   +12 more
europepmc   +1 more source

Applying an Ethical Lens to the Treatment of People With Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The practice of neurology requires an understanding of clinical ethics for decision‐making. In multiple sclerosis (MS) care, there are a wide range of ethical considerations that may arise. These involve shared decision‐making around selection of a disease‐modifying therapy (DMT), risks and benefits of well‐studied medications in comparison to
Methma Udawatta, Farrah J. Mateen
wiley   +1 more source

The early-life environment of a pig shapes the phenotypes of its social partners in adulthood. [PDF]

Heredity (Edinb), 2017
Canario L, Lundeheim N, Bijma P.
europepmc   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source