Latest AI and machine learning research in devices and vaccines for healthcare professionals.
Realization of memristor-based neuromorphic hardware system is important to achieve energy efficient bigdata processing and artificial intelligence in integrated device system-level. In this sense, uniform and reliable titanium oxide (TiO ) memristor array devices are fabricated to be utilized as constituent device element in hardware neural network, representing passive matrix array structure ena...
A clinically comparable Convolutional Neural Network framework-based technique for performing automated classification of cancer grades and tissue structures in hematoxylin and eosin-stained colon histopathological images is proposed in this paper. It comprised of Enhanced Convolutional Learning Modules (ECLMs), multi-level Attention Learning Module (ALM), and Transitional Modules (TMs). The ECLMs...
Device life time is a significant consideration in the cost of ownership of quantum cascade lasers (QCLs). The life time of QCLs beyond an initial bur...
BACKGROUND: The camera of an endoscope is fixed to the device, and the image rotates together with the endoscope. This can lead to visual confusion fo...
Identifying a biomarker or treatment-dose threshold that marks a specified level of risk is an important problem, especially in clinical trials. In vi...
The public health system is extremely dependent on the use of vaccines to immunize the population from a series of infectious and dangerous diseases, ...
Dental implants have become the preferred treatment modality for the replacement of missing teeth. The success of implant therapies is dependent on th...
Neuromorphic visual systems emulating biological retina functionalities have enormous potential for in-sensor computing, with prospects of making arti...
Physical activity (PA) is globally recognized as a pillar of general health. Step count, as one measure of PA, is a well known predictor of long-term ...
Alzheimer's disease (AD) is the leading cause of dementia globally, with a growing morbidity burden that may exceed diagnosis and management capabilit...
Many algorithms use 3D accelerometer and/or gyroscope data from inertial measurement unit (IMU) sensors to detect gait events (i.e., initial and final...
An unusual pneumonia infection, named COVID-19, was reported on December 2019 in China. It was reported to be caused by a novel coronavirus which has ...
At present, there are still some problems in the document management of enterprise innovation projects, such as non-standard management, lagging updat...
Immunotherapy using immune checkpoint modulators has revolutionized the oncology field, emerging as a new standard of care for multiple indications, i...
A gate-tunable synaptic device controlling dynamically reconfigurable excitatory and inhibitory synaptic responses, which can emulate the fundamental ...
Radar systems can be used to perform human activity recognition in a privacy preserving manner. This can be achieved by using Deep Neural Networks, wh...
This study focuses on the financing difficulties of small and medium enterprises (SMEs) in China to study the application of blockchain technology in ...
Due to the COVID-19 pandemic, vaccine development and community vaccination studies are carried out all over the world. At this stage, the opposition ...
Soft actuators and their sensors have always been separate entities with two distinct roles. The omnidirectional compliance of soft robots thus means ...