Latest AI and machine learning research in prescriptions for healthcare professionals.
BACKGROUND: A lot of medical mentions can be extracted from a huge amount of medical texts. In order to make use of these medical mentions, a prerequisite step is to link those medical mentions to a medical domain knowledge base (KB). This linkage of mention to a well-defined, unambiguous KB is a necessary part of the downstream application such as disease diagnosis and prescription of drugs. Such...
Skid-steered vehicles (SSV) are gaining huge importance in the market due to their applications like construction, agricultural work, material handling etc. The accuracy of performing such tasks require a robust control algorithm. The design of such controller is very challenging task due to external disturbances caused by wheel-ground interaction and aerodynamic effects. This paper proposes robus...
In order to improve the accuracy of the evaluation results of multiperception intelligent wearable devices, the mathematical statistical characteristi...
In the context of autonomous robots, one of the most important tasks is to prevent potential damage to the robot during navigation. For this purpose, ...
INTRODUCTION: Recently, automated detection has been a new approach to address the risks posed by prescribing errors. This study focused on prescripti...
Prior to clinical development, a comprehensive pharmacokinetic characterization of a novel drug is required to understand its exposure at the site of ...
Novel coronavirus disease 2019 (COVID-19) has significantly altered the socio-economic status of countries. Although vaccines are now available agains...
No anti-cocaine addiction drugs have been approved by the Food and Drug Administration despite decades of effort. The main challenge is the intricate ...
The requesting of detailed information on new drugs including drug-drug interactions or targets is often unavailable and resource-intensive in assessi...
Body language is an important aspect of human communication, which an effective human-robot interaction interface should mimic well. Human beings exch...
Understanding the human motor control strategy during physical interaction tasks is crucial for developing future robots for physical human-robot inte...
Natural polymers provide a better alternative to synthetic polymers in the domain of drug delivery systems (DDSs) because of their renewability, bioco...
Protein-protein interactions are promising sites for development of selective drugs; however, they have generally been viewed as challenging targets. ...
Deep learning (DL) is a branch of machine learning and artificial intelligence that has been applied to many areas in different domains such as health...
Dipeptidyl peptidase-4 (DPP-4) inhibitors are becoming an essential drug in the treatment of type 2 diabetes mellitus; however, some classes of these ...
The human ether-Ã -go-go-related gene (hERG) encodes the Kv11.1 voltage-gated potassium ion (K) channel that conducts the rapidly activating delayed re...
Smart sensors are an integral part of the Fourth Industrial Revolution and are widely used to add safety measures to human-robot interaction applicati...
Platelets are functionally versatile blood cells involved in thrombosis, hemostasis, atherosclerosis, and immune response. Platelet interaction with t...
This study focused on the application of deep learning algorithms in the segmentation of CT images, so as to diagnose chronic kidney diseases accurate...
Drug repositioning is an attractive strategy for discovering new therapeutic uses for approved or investigational drugs, with potentially shorter deve...