Results 51 to 60 of about 144,351 (212)
This review explores how advanced materials enhance Bio‐FETs for precision healthcare and biosensing. It covers their working principles, surface functionalization, and ultra‐sensitive detection capabilities. The integration of flexible designs, AI, and IoT for real‐time monitoring is discussed, along with challenges like material reproducibility and ...
Minal Pandey+5 more
wiley +1 more source
Motion Compensated Unsupervised Deep Learning for 5D MRI [PDF]
We propose an unsupervised deep learning algorithm for the motion-compensated reconstruction of 5D cardiac MRI data from 3D radial acquisitions. Ungated free-breathing 5D MRI simplifies the scan planning, improves patient comfort, and offers several clinical benefits over breath-held 2D exams, including isotropic spatial resolution and the ability to ...
arxiv
Engineering Triboelectric Paper for Energy Harvesting and Smart Sensing
Engineering nano‐graphite coated paper (NG@P) is produced to serve as triboelectric layers and electrodes for TENGs. Ultra‐high power density above 14 kW m−2 is achieved due to the electrostatic discharge on the surface. Moreover, smart home sensors are fabricated using the NG@P for motion sensing and sleep monitoring, which could be used for security ...
Renyun Zhang+8 more
wiley +1 more source
This article summarizes significant technological advancements in materials, photonic devices, and bio‐interfaced systems, which demonstrate successful applications for impacting human healthcare via improved therapies, advanced diagnostics, and on‐skin health monitoring.
Seunghyeb Ban+5 more
wiley +1 more source
ObjectiveComputer simulations, enabling observations of variables inaccessible in living patients, provide a powerful approach to studying complex physiological phenomena.
Tomasz Gólczewski+5 more
doaj +1 more source
In vitro and in vivo research based on cell lines and animals are likely to be insufficient in elucidating authentic biological and physiological phenomena mimicking human systems, especially for generating pre-clinical data on targets and biomarkers ...
Kai Sen Tan+10 more
doaj +1 more source
Clinical Validation of Single-Chamber Model-Based Algorithms Used to Estimate Respiratory Compliance [PDF]
Non-invasive estimation of respiratory physiology using computational algorithms promises to be a valuable technique for future clinicians to detect detrimental changes in patient pathophysiology. However, few clinical algorithms used to non-invasively analyze lung physiology have undergone rigorous validation in a clinical setting, and are often ...
arxiv
Photonic Nanomaterials for Wearable Health Solutions
This review discusses the fundamentals and applications of photonic nanomaterials in wearable health technologies. It covers light‐matter interactions, synthesis, and functionalization strategies, device assembly, and sensing capabilities. Applications include skin patches and contact lenses for diagnostics and therapy. Future perspectives emphasize AI‐
Taewoong Park+3 more
wiley +1 more source
How germline genes promote malignancy in cancer cells
We hypothesize that activation of a “germline program” promotes oncogenesis. Expression of otherwise germline specific genes may result in pseudomeiotic activity, thereby promoting oncogenesis through genomic instability. Other processes that are differentially regulated in the germline, such as migration and epigenetic – and metabolic plasticity, may ...
Jan Willem Bruggeman+4 more
wiley +1 more source
A Systems Engineering Approach to Modeling and Analysis of Chronic Obstructive Pulmonary Disease (COPD) [PDF]
Chronic Obstructive Pulmonary Disease (COPD) is a progressive lung disease characterized by airflow limitation. This study develops a systems engineering framework for representing important mechanistic details of COPD in a model of the cardio-respiratory system.
arxiv