NeuRank: learning to rank with neural networks for drug-target interaction prediction. [PDF]
BMC Bioinformatics, 2021 Wu X, Zeng W, Lin F, Zhou X.
europepmc +1 more source
Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Freezing of gait (FOG) in people with Parkinson's disease (PwPD) is debilitating and has limited treatments. Modafinil modulates beta/gamma band activity in the pedunculopontine nucleus (PPN), like PPN deep brain stimulation. We therefore tested the hypothesis that Modafinil would improve FOG in PwPD.
Tuhin Virmani +8 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu +11 more
wiley +1 more source
Face Recognition via Locality Constrained Low Rank Representation and Dictionary Learning [PDF]
, 2019 He-Feng Yin +2 more
openalex +1 more source
The World is Not Binary: Learning to Rank with Grayscale Data for Dialogue Response Selection [PDF]
, 2020 Zibo Lin +5 more
openalex +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective People with epilepsy (PWE) may experience cognitive deficits but fail to undergo formal evaluation. This study compares cognitive status between PWE and healthy controls in the West African Republic of Guinea. Methods A cross‐sectional, case–control study was conducted in sequential recruitment phases (July 2024–July 2025) at Ignace ...
Maya L. Mastick +14 more
wiley +1 more source
Neural Learning to Rank Model With Bias Correction and Attention Enhanced Relevance Prediction
IEEE AccessClick data has emerged as an essential tool for training learning-to-rank systems in various sectors, including web search, recommender systems, and digital advertising. This data is fundamentally noisy and biased due to factors such as position bias and
K. J. Amala, D. Rajeswari
doaj +1 more source
Design, implementation, and evaluation of the computer-aided clinical decision support system based on learning-to-rank: collaboration between physicians and machine learning in the differential diagnosis process. [PDF]
BMC Med Inform Decis Mak, 2023 Miyachi Y, Ishii O, Torigoe K.
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 +13 more
wiley +1 more source