Anticoagulation Treatment Response Among Phenotypic ESUS Clusters: Evidence From CASPR
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To evaluate treatment effect heterogeneity across phenotypic clusters of patients with cryptogenic embolic stroke using causal inference methods. Methods From a retrospective, multicenter cohort of patients with cryptogenic embolic stroke, we estimated the treatment effect of anticoagulation versus antiplatelet therapy in patients ...
Elena Badillo Goicoechea +53 more
wiley +1 more source
AcrSeek: metric learning with hybrid negative mining for anti-CRISPR protein detection under extreme class imbalance. [PDF]
BioinformaticsJeong CS.
europepmc +1 more source
Patient Reidentification from Chest Radiographs: An Interpretable Deep Metric Learning Approach and Its Applications. [PDF]
Radiol Artif Intell, 2023 Macpherson MS +4 more
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Dysregulated lipid metabolism, which can affect remyelination and neural repair, has not been extensively investigated in progressive multiple sclerosis (PMS). The goal was to examine whether dysregulated cholesterol metabolism was associated with disability in PMS. Methods The study sample comprised 53 Severe PMS patients (Expanded
Taylor R. Wicks +8 more
wiley +1 more source
Residual metric learning with class-specific consistency for multiclass classification. [PDF]
PLoS OneHu K, Ma J.
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Deep Metric Learning Using Negative Sampling Probability Annealing. [PDF]
Sensors (Basel), 2022 Kertész G.
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A Two‐Stage Plasma Biomarker Algorithm Reduces Amyloid PET Use and the p‐Tau217 Gray Zone
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Plasma p‐Tau217 leaves 30%–50% of patients in an indeterminate “gray zone” often requiring Aβ‐PET. We developed GRAD (Gatekeeper‐Reflex for Alzheimer's Disease), a two‐stage Aβ‐positivity prediction model to improve classification while reserving Aβ‐PET for residual uncertainty.
Harthik Parankusham +7 more
wiley +1 more source
Automated forensic human identification on dental panoramic radiographs using transformer-based detection with supervised metric learning. [PDF]
BMC Oral HealthChoi HR +9 more
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Contrastive Metric Learning for Lithium Super-ionic Conductor Screening. [PDF]
SN Comput Sci, 2022 Zhang B, Wang S, Gao F.
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Biallelic FIG4 variants classically cause distinct conditions characterized by peripheral neuropathy (Charcot‐Marie‐Tooth disease type 4J) or skeletal dysplasia (Yunis‐Varón syndrome). However, central nervous system involvement is increasingly recognized. The prevalence and specific characteristics of movement disorders within FIG4‐
Andrea Gangfuß +22 more
wiley +1 more source