Results 111 to 120 of about 5,219,664 (202)

Artificial structures for human‐machine interfaces with closed‐loop interaction

open access: yesFlexMat, EarlyView.
Artificial structures bridge sensing and feedback in closed‐loop human‐machine interfaces by providing geometry‐enabled mechanical and functional programmability. This review maps the role of artificial structures in diverse sensing modalities and feedback strategies, and illustrates their integration into closed‐loop interaction systems, highlighting ...
Taiqi Hu   +4 more
wiley   +1 more source

MARS‐Diff: Guarded Residual Diffusion for Leakage‐Disciplined Probabilistic Portfolio‐Loss Forecasting

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper develops Masked Asset–Regime Scenario Diffusion (MARS‐Diff), a leakage‐disciplined framework for probabilistic forecasting of multiday portfolio losses. The framework combines a regularized heterogeneous autoregressive model with exogenous predictors (HAR‐X) as its anchor, a train‐only masked representation of a high‐dimensional ...
Çağlar Sözen, Mervenur Sözen
wiley   +1 more source

Aberration-aware 3D localization microscopy via self-supervised neural-physics learning. [PDF]

open access: yesNat Commun
Fu S   +9 more
europepmc   +1 more source

Sparse Depth Meets Monocular Depth Estimation: A Guided Diffusion Framework for Zero-Shot Depth Completion

open access: yes
openDepth completion involves predicting a dense depth map from sparse depth measurements and a synchronized RGB image. Traditional deep learning-based methods solving this task often lack flexibility and struggle with generalization, especially in zero ...
VIOLA, MASSIMILIANO
core  

Predicting Oral Cancer From Precursor Lesions: The Case for a Standardized Framework of Analysis to Improve Prediction Modeling

open access: yesHead &Neck, EarlyView.
ABSTRACT Oral Cancer often occurs from the transformation of precursor lesions, and this offers an opportunity for early detection. Current methods to assess risk of precursor lesion progression to oral cancer incompletely predict risk. A multimodal framework that leverages machine learning is needed to improve prediction.
Michael E. Troka, James C. Gates
wiley   +1 more source

Germline Cancer Predisposition and De Novo Contributions in Pediatric Rhabdomyosarcoma: A Report From the Children's Oncology Group

open access: yesInternational Journal of Cancer, EarlyView.
ABSTRACT Approximately 6%–8% of children and adolescents with rhabdomyosarcoma (RMS) have an underlying cancer predisposition disorder (CPD), which varies between embryonal and alveolar subtypes and other clinical characteristics. Identifying a CPD remains challenging, as traditional approaches rely on clinical features and family history. Additionally,
Taylor M. Luckie   +12 more
wiley   +1 more source

Multi‐omics–driven precision medicine

open access: yesiMeta, EarlyView.
Multi‐omics‐driven precision medicine (MODPM) provides a multiscale, continuously learnable framework that integrates genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiome profiles, and clinical data. Powered by artificial intelligence and foundation models, MODPM enables cross‐modal representation learning, contextual modeling ...
Huibo Li   +20 more
wiley   +1 more source

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