Results 221 to 230 of about 24,691,873 (342)

Refining Diffusion Models for Motion Synthesis with an Acceleration Loss to Generate Realistic IMU Data

Häusler, Lars Ole, Uhlenberg, Lena, Köber, Göran, Salimova, Diyora, Amft, Oliver   +4 more
openalex   +1 more source

Modelling Natural Phenomenon with Reaction-Diffusion

, 2020
Lee Ringham
openalex   +1 more source

Development of a Personalized Visualization and Analysis Tool to Improve Clinical Care in Complex Multisystem Diseases With Application to Scleroderma

Arthritis Care &Research, EarlyView.
Objective In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently, and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of the trajectory of a ...
Ji Soo Kim, John Scott, Lauren Fisher, Lauren N. Smith, Willie Stewart, Adrianne Woods, Rob Smithwright, Diane Koher, Parastoo Aslanbeik, Aalok B. Shah, Brad Tibbils, Samantha I. Pitts, Ayse P. Gurses, Yushi Yang, Ana‐Maria Orbai, Antony Rosen, Laura K. Hummers, Scott L. Zeger, Ami A. Shah   +18 more
wiley   +1 more source

HuAbDiffusion: a discrete language diffusion model used for antibody humanization. [PDF]

Brief Bioinform
Liu D, Hao X, Fan L.
europepmc   +1 more source

Cross-platform super-resolution: A diffusion model approach for enhancing satellite imagery with aerial data

Zhe Wang, Carmen Galaz García, Benjamin S. Halpern   +2 more
openalex   +1 more source

Monocyte LOXHD1 and RHOB Expression Predictive of Progressive Systemic Sclerosis–Associated Interstitial Lung Disease

Arthritis Care &Research, EarlyView.
Objective A leading cause of death among patients with scleroderma (SSc), interstitial lung disease (ILD) remains challenging to prognosticate. The discovery of biomarkers that accurately determine which patients would benefit from close monitoring and aggressive therapy would be an essential clinical tool.
Cristina M. Padilla, Robert Lafyatis, Kevin F. Gibson, Christina Morse, Eleanor Valenzi, Xiaoping Chen, Xiaoyun Li, Yanwu Zhao, Yongseok Park, Dana Ascherman, Jonathan Minden, Robyn Domsic, Yingze Zhang, Daniel J. Kass   +13 more
wiley   +1 more source

SGEDiff: a subgraph-enriched diffusion model for structure-based 3D molecular generation. [PDF]

J Cheminform
Gong C, Fang J, Tang Y, Liu G, Tang Y, Li W.   +5 more
europepmc   +1 more source

Heterogeneity of Rheumatoid Arthritis–Associated Interstitial Lung Disease by Longitudinal Forced Vital Capacity Trajectory and Associations With Disease Outcomes

Arthritis Care &Research, EarlyView.
Objective We aimed to identify unique disease trajectories within rheumatoid arthritis–associated interstitial lung disease (RA‐ILD) based on longitudinal forced vital capacity (FVC) values and their associated clinical outcomes. Methods We performed a cohort study of RA‐ILD within the Veterans Health Administration from 1999 to 2021.
Bryant R. England, Yangyuna Yang, Punyasha Roul, Tate M. Johnson, Scott M. Matson, Grant W. Cannon, Brian C. Sauer, Jeffrey R. Curtis, Joshua F. Baker, Ted R. Mikuls   +9 more
wiley   +1 more source

Assessment of Skin in Patients With Systemic Sclerosis Using High‐Frequency Ultrasound and Shear Wave Elastography: A Comparative Study With Histology, Molecular, and Clinical Parameters

Arthritis Care &Research, EarlyView.
Objective Ultrasound (US) has been proposed as a potential tool for assessing skin fibrosis in systemic sclerosis (SSc). However, a large‐scale comparison of US‐based assessment with histologic markers of skin fibrosis has not been reported. We evaluated US‐based skin assessments for their face validity (differentiation between involved SSc and healthy
Ruhani Desai, Filemon Tan, Minghua Wu, Jeffery L. Browning, Samuel Theodore, Meng Zhang, Brian Skaug, Harshdeep Singh Chawla, Manmohan Singh, Salavat Aglyamov, Kirill V. Larin, Maureen Mayes, Shervin Assassi   +12 more
wiley   +1 more source

Conditional diffusion model for high-accuracy brain tumor segmentation in MRI images. [PDF]

Sci Rep
Yu B, Xu C, Yin Q, Ma B.
europepmc   +1 more source