Results 161 to 170 of about 10,950,819 (369)

Artificial Intelligence-derived Vascular Age from Photoplethysmography: A Novel Digital Biomarker for Cardiovascular Health [PDF]

open access: yesarXiv
With the increasing availability of wearable devices, photoplethysmography (PPG) has emerged as a promising non-invasive tool for monitoring human hemodynamics. We propose a deep learning framework to estimate vascular age (AI-vascular age) from PPG signals, incorporating a distribution-aware loss to address biases caused by imbalanced data.
arxiv  

Chiral Engineered Biomaterials: New Frontiers in Cellular Fate Regulation for Regenerative Medicine

open access: yesAdvanced Functional Materials, EarlyView.
Chiral engineered biomaterials can selectively influence cell behaviors in regenerative medicine. This review covers chiral engineered biomaterials in terms of their fabrication methods, cellular response mechanisms, and applications in directing stem cell differentiation and tissue function.
Yuwen Wang   +5 more
wiley   +1 more source

SOCIETY FOR VASCULAR SURGERY CLINICAL PRACTICE GUIDELINES FOR MANAGEMENT OF EXTRACRANIAL CEREBROVASCULAR DISEASE.

open access: yesJournal of Vascular Surgery, 2021
A. AbuRahma   +11 more
semanticscholar   +1 more source

A Gym for Cells—Direct Laser Writing of Magnetic Multilayered Micro Actuators for Mechanical Stimulation of Cells

open access: yesAdvanced Functional Materials, EarlyView.
Surface‐attached multilayer micromagnet systems are fabricated by two‐photon crosslinking. The pillar‐shaped micro actuators consist of a soft and flexible surface‐attached cell‐repellent hydrogel layer at the bottom, acting as a hinge and a cell‐adhesive hydrophobic polymer filled with magnetic nanoparticles.
Nicolas Geid   +5 more
wiley   +1 more source

Deep Imbalanced Regression to Estimate Vascular Age from PPG Data: a Novel Digital Biomarker for Cardiovascular Health [PDF]

open access: yesarXiv
Photoplethysmography (PPG) is emerging as a crucial tool for monitoring human hemodynamics, with recent studies highlighting its potential in assessing vascular aging through deep learning. However, real-world age distributions are often imbalanced, posing significant challenges for deep learning models. In this paper, we introduce a novel, simple, and
arxiv  

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