ABSTRACT
Technology has played a vital part in improving quality of life, especially in healthcare. Artificial intelligence (AI) and the Internet of Things (IoT) are extensively employed to link accessible medical resources and deliver dependable and effective intelligent healthcare. Body wearable devices have garnered attention as powerful devices for healthcare applications, leading to various commercially available devices for multiple purposes, including individual healthcare, activity alerts, and fitness. The paper aims to cover all the advancements made in the wearable Medical Internet of Things (IoMT) for healthcare systems, which have been scrutinized from the perceptions of their efficacy in detecting, preventing, and monitoring diseases in healthcare. The latest healthcare issues are also included, such as COVID-19 and monkeypox. This paper thoroughly discusses all the directions proposed by the researchers to improve healthcare through wearable devices and artificial intelligence. The approaches adopted by the researchers to improve the overall accuracy, efficiency, and security of the healthcare system are discussed in detail. This paper also highlights all the constraints and opportunities of developing AI enabled IoT-based healthcare systems. © 2023 by the authors.
ABSTRACT
Self-study is an integral part of chemistry learning, whereby the students consume knowledge outside of the classroom environment. The COVID-19 pandemic magnified the need for efficient methods of synchronous and asynchronous instructional content delivery worldwide. Virtual reality (VR) presents a prospective technological solution to aid asynchronous content delivery, particularly for visual subjects such as chemistry. We investigate the feasibility of using carefully designed VR-based content to assist offline instruction about enzymes and the differences in their types. They are an essential concept in biochemistry due to their comprehensiveness and the similarities between their amino acid sequences responsible for their different functions. We compare the efficacy of VR-aided self-study against self-study assisted by recorded video lectures. An experiment is conducted to simulate self-study in three scenarios, i.e., conventional text-based self-study (1) without any additional aids, (2) assisted by recorded video lectures, and (3) with VR aids. Our findings indicate that VR can assist asynchronous content consumption leading to better learning and satisfaction. © 2023 American Chemical Society and Division of Chemical Education, Inc.
ABSTRACT
Early and rapid detection of SARS-CoV-2 in an infected person is one fundamental part of the strategy against the spread of this virus. As of now, the usual practice is to carry out polymerase chain reaction (PCR) test which provides results in 24-48 hours. Hence, there exists a crucial need for rapid and immediate screening of people suspected to be infected. Presence of volatile organic compounds (VOCs) in the exhaled breath can be one such prospect for detection of virus. In this paper, we have designed chromophoric adducts of VOC's in the exhaled breath that can be formed for colorimetric detection of SARS-CoV-2. We noted the bathochromic shift in λ (nm) of VOC molecules upon chromophore formation for colorimetric detection. If adapted, this research work will result in low cost solution to the requirement of immediate detection of SARS-CoV-2, hence cost and time of testing will be reduced, compared to PCR and antibodies tests. Also VOC's detection in early stage of infection where symptoms are not visible can be advantageous. © 2022 Pakistan Journal of Pharmaceutical Sciences. All rights reserved.