Wearable technology in the management of chronic diseases has emerged as a significant and growing concern in healthcare. These technologies, including smartwatches, fitness trackers, and other sensor-based devices, offer continuous monitoring and real-time data collection for individuals with chronic conditions. The data collected can include vital signs, activity levels, sleep patterns, and more, providing valuable insights into a patient's health. This trend is particularly relevant in the context of chronic diseases, such as diabetes, cardiovascular conditions, and respiratory disorders, where continuous monitoring is crucial for effective management. Wearable devices empower patients to actively participate in their healthcare by facilitating self-monitoring and promoting healthy behaviors. Healthcare providers can also leverage the data generated by these devices to make informed decisions, personalize treatment plans, and intervene proactively. However, challenges exist, such as data security and privacy concerns, the accuracy of the collected information, and the need for effective integration into existing healthcare systems. Despite these challenges, the increasing adoption of wearable technology in chronic disease management reflects a promising avenue for improving patient outcomes and reducing healthcare costs through preventive and personalized care.

Wearable technology in the management of chronic diseases has emerged as a significant and growing concern in healthcare. These technologies, including smartwatches, fitness trackers, and other sensor-based devices, offer continuous monitoring and real-time data collection for individuals with chronic conditions. The data collected can include vital signs, activity levels, sleep patterns, and more, providing valuable insights into a patient's health. This trend is particularly relevant in the context of chronic diseases, such as diabetes, cardiovascular conditions, and respiratory disorders, where continuous monitoring is crucial for effective management. Wearable devices empower patients to actively participate in their healthcare by facilitating self-monitoring and promoting healthy behaviors. Healthcare providers can also leverage the data generated by these devices to make informed decisions, personalize treatment plans, and intervene proactively. However, challenges exist, such as data security and privacy concerns, the accuracy of the collected information, and the need for effective integration into existing healthcare systems. Despite these challenges, the increasing adoption of wearable technology in chronic disease management reflects a promising avenue for improving patient outcomes and reducing healthcare costs through preventive and personalized care.

Characterization as well as prediction of the secondary and tertiary structure of hypothetical proteins from their amino acid sequences uploaded in databases by in silico approach are the critical issues in computational biology. Severe acute respiratory syndrome–associated coronavirus (SARS-CoV), which is responsible for pneumonia alike diseases, possesses a wide range of proteins of which many are still uncharacterized. The current study was conducted to reveal the physicochemical characteristics and structures of an uncharacterized protein Q6S8D9_SARS of SARS-CoV. Following the common flowchart of characterizing a hypothetical protein, several sophisticated computerized tools e.g., ExPASy Protparam, CD Search, SOPMA, PSIPRED, HHpred, etc. were employed to discover the functions and structures of Q6S8D9_SARS. After delineating the secondary and tertiary structures of the protein, some quality evaluating tools e.g., PROCHECK, ProSA-web etc. were performed to assess the structures and later the active site was identified also by CASTp v.3.0. The protein contains more negatively charged residues than positively charged residues and a high aliphatic index value which make the protein more stable. The 2D and 3D structures modeled by several bioinformatics tools ensured that the proteins had domain in it which indicated it was functional protein having the ability to trouble host antiviral inflammatory cytokine and interferon production pathways. Moreover, active site was found in the protein where ligand could bind. The study was aimed to unveil the features and structures of an uncharacterized protein of SARS-CoV which can be a therapeutic target for development of vaccines against the virus. Further research are needed to accomplish the task.