Results 201 to 210 of about 7,006,651 (299)

Functional fingerprinting for the developing brain using deep metric learning. [PDF]

Imaging Neurosci (Camb)
Xu R, Zhao S, Liu Z, Jin Q, Wang Z, Liu D, Zhao K, Zhong S, Zhang J, Liu Y, Qi T, Wei Y.   +11 more
europepmc   +1 more source

Parkinson Disease Subtype Stability and Eventual Convergence

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Previous research identified distinct Parkinson disease (PD) clinical subtypes of “Motor Only,” “Psychiatric & Motor,” and “Cognitive & Motor” based on comprehensive, multidomain classification. Whether these subtypes reflect distinct trajectories or progressive disease stages remains unknown.
Laura M. Rosok, Christina N. Lessov‐Schlaggar, Abdulmunaim M. Eid, Erin R. Foster, Baijayanta Maiti, Hailee Domash, Helen Hwang, Richard J. Perrin, Paul T. Kotzbauer, Joel S. Perlmutter, Meghan C. Campbell   +10 more
wiley   +1 more source

SMART: spatial multi-omic aggregation using graph neural networks and metric learning. [PDF]

Nat Commun
Du Z, Chen Q, Huang W, Chen J, Zheng X.
europepmc   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Batch alignment of single-cell transcriptomics data using deep metric learning. [PDF]

Nat Commun, 2023
Yu X, Xu X, Zhang J, Li X.
europepmc   +1 more source

A Return to Normality: A Descriptive Qualitative Interview Study Exploring the Patient Experience of Gout Flare Resolution

Arthritis Care &Research, EarlyView.
Objective Although the definition of a gout flare is well established, the state of gout flare resolution has not yet been defined. This study aimed to explore patients’ experiences and perceptions of gout flare resolution. Methods Semistructured interviews were conducted with 24 people with gout, guided by open‐ended questions exploring their ...
Sarah Stewart, Anne Horne, Angelo Gaffo, Lisa K. Stamp, N. Lawrence Edwards, Nicola Dalbeth   +5 more
wiley   +1 more source

Deep Metric Learning-Based Classification for Pavement Distress Images. [PDF]

Sensors (Basel)
Li Y, Wang J, Lü B, Yang H, Wu X.
europepmc   +1 more source

TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell level. [PDF]

Brief Bioinform, 2023
Liu Y, Wei G, Li C, Shen LC, Gasser RB, Song J, Chen D, Yu DJ.   +7 more
europepmc   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

Geometry of Uncertainty : Learning Metric Spaces for Multimodal State Estimation in RL

Estimating the state of an environment from high-dimensional, multimodal, and noisy observations is a fundamental challenge in reinforcement learning (RL).
Reichlin, Alfredo
core   +1 more source