Latest AI and machine learning research in health policy for healthcare professionals.
Drug-induced cardiotoxicity and hepatotoxicity are major causes of drug attrition. To decrease late-stage drug attrition, pharmaceutical and biotechnology industries need to establish biologically relevant models that use phenotypic screening to detect drug-induced toxicity in vitro. In this study, we sought to rapidly detect patterns of cardiotoxicity using high-content image analysis with deep l...
Internet of bio-nano things (IoBNT) is a novel communication paradigm where tiny, biocompatible and non-intrusive devices collect and sense biological signals from the environment and send them to data centers for processing through the internet. The concept of the IoBNT has stemmed from the combination of synthetic biology and nanotechnology tools which enable the fabrication of biological comput...
BACKGROUND: Clinical notes record the health status, clinical manifestations and other detailed information of each patient. The International Classif...
Disruptive innovation is an invention that disrupts an existing market and creates a new one by providing a different set of values, which ultimately ...
The classification of driving styles plays a fundamental role in evaluating drivers' driving behaviors, which is of great significance to traffic safe...
Pneumatically-actuated soft robots have advantages over traditional rigid robots in many applications. In particular, their flexible bodies and gentle...
The involvement of artificial intelligence in biomedicine promises better support for decision-making both in conventional and research medical practi...
Artificial intelligence (AI) is expected to cause significant medical quality enhancements and cost-saving improvements in ophthalmology. Although the...
The development of induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) has been a critical in vitro advance in the study of patient-specif...
The 3Rs concept, calling for replacement, reduction and refinement of animal experimentation, is receiving increasing attention around the world, and ...
In the human resource system of modern enterprises, human-post matching big data occupies an important irreplaceable position. With the deepening of t...
Water sampling is an essential undertaking for water utilities and agencies to protect and enhance our natural resources. The high variability in wate...
The European Union's proposed Artificial Intelligence Act is a welcome, ambitious law on the regulation of AI systems. However, it underestimates the ...
BACKGROUND: Considerable effort has been devoted to the development of artificial intelligence, including machine learning-based predictive analytics ...
Significance and popularity of Role-Based Access Control (RBAC) is inevitable; however, its application is highly challenging in multi-domain collabor...
Credit risk evaluation is a crucial yet challenging problem in financial analysis. It can not only help institutions reduce risk and ensure profitabil...
This paper presents a novel machine learning approach to perform an early prediction of the healthcare cost of breast cancer patients. The learning ph...
Modern computer systems practically cannot function without a computer network. New concepts of data transmission are emerging, e.g., programmable net...
Comorbidity is an important factor to consider when trying to predict the cost of treating asthma patients. When an asthmatic patient suffered from co...
Feature selection (FS) is one of the fundamental data processing techniques in various machine learning algorithms, especially for classification of h...