Advances in experimental medicine and biology
Jan 1, 2022
Precision oncology is an innovative approach to cancer care in which diagnosis, prognosis, and treatment are informed by the individual patient's genetic and molecular profile. The rapid development of novel high-throughput omics technologies in rece...
Advances in experimental medicine and biology
Jan 1, 2022
Dramatic advancements in interdisciplinary research with the fourth paradigm of science, especially the implementation of computer science, nourish the potential for artificial intelligence (AI), machine learning (ML), and artificial neural network (...
Advances in experimental medicine and biology
Jan 1, 2022
Ultrasound-guided regional anaesthesia (UGRA) involves the targeted deposition of local anaesthesia to inhibit the function of peripheral nerves. Ultrasound allows the visualisation of nerves and the surrounding structures, to guide needle insertion ...
Advances in experimental medicine and biology
Jan 1, 2022
This article aims to present how the advanced solutions of artificial intelligence and precision medicine work together to refine medical management. Multi-omics seems the most suitable approach for biological analysis of data on precision medicine a...
Advances in experimental medicine and biology
Jan 1, 2021
The support vector machines (SVMs) is one of the machine learning algorithms with high classification accuracy. However, the support vector machine algorithm has a very high training complexity. Thus, it is not very efficient with large datasets. In ...
Advances in experimental medicine and biology
Jan 1, 2021
While expert systems are artificial intelligence (AI) agents, they share many common characteristics with human experts. As technology progresses, such systems are not just able to make simple decisions following "simplistic" linear logical protocols...
Advances in experimental medicine and biology
Jan 1, 2021
A diagnostic tool is developed for balance disorders based on machine learning techniques. This tool is addressed at experts, in order to support the diagnosis of 5 categories of balance disorders and ultimately 11 specific disorders. Unlike previous...
Advances in experimental medicine and biology
Jan 1, 2021
Coronary heart disease is a serious and common disease that affects a large part of the population. There is a tendency to use machine learning techniques for the punctual and valid diagnosis, which can determine the effectiveness of treatment and th...
Advances in experimental medicine and biology
Jan 1, 2021
Background and aims Non-contrast chest computed tomography (CT) scanning is one of the important tools for evaluating of lung lesions. The aim of this study was to use a deep learning approach for predicting the outcome of patients with COVID-19 into...
Advances in experimental medicine and biology
Jan 1, 2021
While clinical trials have evolved and improved over time, fundamental changes are needed to reflect the outcomes of great relevance to the institutions where they are performed, by integrating scientific rationale and society's movement to increase ...