Time-aware neural ordinary differential equations for incomplete time series modeling. [PDF]
Chang Z +5 more
europepmc +1 more source
Sertraline Treatment Can Mimic Niemann‐Pick Type C Biomarker Profile: A Diagnostic Pitfall
ABSTRACT Background Oxysterols (cholestane‐3β,5α,6β‐triol and 7‐ketocholesterol) and N‐palmitoyl‐O‐phosphocholineserine (PPCS) are sensitive biomarkers for Niemann‐Pick disease type C (NPC) screening. However, false‐positive results occur, with a biomarker profile suggestive of NPC despite the absence of pathogenic variants in genes involved in NPC or ...
Maria Makrygianni +19 more
wiley +1 more source
A Bayesian neural ordinary differential equations framework to study the effects of chemical mixtures on survival. [PDF]
Baudrot V +4 more
europepmc +1 more source
A Joint estimation approach to sparse additive ordinary differential equations. [PDF]
Zhang N, Nanshan M, Cao J.
europepmc +1 more source
Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD
ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin +11 more
wiley +1 more source
Geometric Neural Ordinary Differential Equations: From Manifolds to Lie Groups. [PDF]
Wotte YP, Califano F, Stramigioli S.
europepmc +1 more source
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations. [PDF]
Chapfuwa P +4 more
europepmc +1 more source
Association Between Motor Pathway Damage and Motor Deficit in Upper and Lower Limb in People With MS
ABSTRACT Objective Corticospinal tract damage is common in people with MS, but the degree of clinical symptoms varies. We hypothesize that corticospinal tract lesions are more extensive and severe in people with MS with motor impairments in both upper and lower limbs.
Mathilde Liffran +13 more
wiley +1 more source
Unicorn: U-Net for sea ice forecasting with convolutional neural ordinary differential equations. [PDF]
Park J +5 more
europepmc +1 more source
Predicting metabolomic profiles from microbial composition through neural ordinary differential equations. [PDF]
Wang T +7 more
europepmc +1 more source

