Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
The application of deep learning to generative molecule design has shown early promise for accelerat...
A variety of ethical concerns about artificial intelligence (AI) implementation in healthcare have e...
Large-scale labeled training datasets have enabled deep neural networks to excel across a wide range...
BACKGROUND: Robot-assisted rehabilitation for patients with stroke is promising. However, it is uncl...
The purpose is to strengthen Human Resources Management (HRM) through information management using A...
The cloud network is rapidly growing due to a massive increase in interconnected devices and the eme...
In metabolomics, retention prediction methods have been developed based on the structural and physic...
Children and adolescents could benefit from the use of predictive tools that facilitate personalized...
Retention time prediction in high-performance liquid chromatography (HPLC) is the subject of many st...
Non-targeted screening with LC/ESI/HRMS aims to identify the structure of the detected compounds usi...
Medical imaging datasets usually exhibit domain shift due to the variations of scanner vendors, imag...
In immunotherapy, ex vivo stimulation of T cells requires significant resources and effort. Here, we...
Models for keyword spotting in continuous recordings can significantly improve the experience of nav...
Advances are being made in applying digital twin (DT) and human-robot collaboration (HRC) to industr...
Peer review is a widely utilized feedback mechanism for engaging students. As a pedagogical method, ...
Coronavirus disease 2019 (COVID-19) has brought huge losses to the world, and it remains a great thr...
Heterogeneity of brain diseases is a challenge for precision diagnosis/prognosis. We describe and va...
Biofilm formation by microorganisms is a serious clinical problem that leads to drug failure. Nanoca...
The aim of this work was to explore the effects of Gamma nail internal fixation for intertrochanteri...
Domain shift, the mismatch between training and testing data characteristics, causes significant deg...
We present a simple and efficient hypothesis-free machine learning pipeline for risk factor discover...