Results 121 to 130 of about 495,661 (270)
Model‐Inversion‐Resistant Physical Unclonable Neural Network Using Vertical NAND Flash Memory
Schematic and key features of the proposed forward‐forward physical unclonable neural network (FF‐PUNN), incorporating a concealable physical unclonable function (PUF) layer and forward‐forward (FF) learning. ABSTRACT The growing use of neural networks in privacy‐sensitive applications necessitates architectures that inherently protect both data and ...
Sung‐Ho Park +8 more
wiley +1 more source
A biocompatible graphene/ZnO optical charge trap memory (CTM) is reported with over 54 h retention, enabled by interfacial photodoping. Using transient absorption spectroscopy and electrical analysis, charge transfer quenching is elucidated and reveal that a large energy barrier at the interface is responsible for long‐term memory retention.
Seungmin Shin +10 more
wiley +1 more source
This Perspective examines practical power solutions for wearable healthcare systems, highlighting the limits of standard batteries. It categorizes wearables into four domains—point‐of‐care diagnostics, episodic monitoring, continuous long‐term monitoring, and therapeutic platforms—and analyzes their power needs.
Seokheun Choi
wiley +1 more source
All patients operated for oesophageal cancer in Sweden from 2013 to April 2018 were identified, and 246 patients were recruited to this population‐based nationwide Swedish study. The results show that longitudinal health‐related quality of life after minimally invasive oesophagectomy was similar to that of the open surgical approach.
F. Klevebro +4 more
wiley +1 more source
Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley +1 more source
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
wiley +1 more source
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Aim. To study ECG changes after transcatheter correction of the interatrial defect (IAD) with Amplatzer occluder. Material and methods. Secondary transcatheter IAD correction was made with Amplatzer Septal Occluder (AGA Medical Corporation, USA) in 33 ...
E K Abdyzhaparova +7 more
doaj
Optimizing Diagnostic Accuracy of Clinical Red Flags in RASopathies
ABSTRACT RASopathies are a group of genetic disorders caused by pathogenic variants in the RAS‐mitogen‐activated protein kinase (RAS–MAPK) signaling pathway, often presenting with congenital heart defects, craniofacial dysmorphisms, and developmental delays. To assess the diagnostic yield of genetic testing in patients with suspected RASopathies and to
Emanuele Bobbio +16 more
wiley +1 more source
ABSTRACT The key diagnostic criterion for hypertrophic cardiomyopathy is the presence of otherwise unexplained hypertrophy. Current definitions of HCM rely on specific thresholds to establish a diagnosis, while guideline directed risk stratification algorithms take its magnitude into consideration.
Thomas D. Gossios +9 more
wiley +1 more source

