A5007851435- Artificial Intelligence in Healthcare and Education
- Herpesvirus Infections and Treatments
- Digital Mental Health Interventions
- Vaccine Coverage and Hesitancy
- COVID-19 and Mental Health
- Hepatitis C virus research
- Mobile Health and mHealth Applications
- Persona Design and Applications
- Health disparities and outcomes
- Artificial Intelligence in Healthcare
- Ethics in Clinical Research
- Reproductive tract infections research
- Pharmacological Effects of Natural Compounds
- Health, Environment, Cognitive Aging
- Cervical Cancer and HPV Research
- Traditional Chinese Medicine Studies
- Big Data and Business Intelligence
- Data Visualization and Analytics
- Data-Driven Disease Surveillance
King's College London
2021-2023
Social distancing and shielding measures have been put in place to reduce social interaction slow the transmission of coronavirus disease (COVID-19). For older people, self-isolation presents particular challenges for mental health relationships. As time progresses, continued could a compounding impact on these concerns.This project aims provide tool people their families peers improve well-being during after regulated distancing. First, we will evaluate tool's feasibility, acceptability,...
Researching people with herpes simplex virus (HSV) is challenging because of poor data quality, low user engagement, and concerns around stigma anonymity.This project aimed to improve collection for a real-world HSV registry by identifying predictors infection selecting limited number relevant questions ask new users determine their level risk.The US National Health Nutrition Examination Survey (NHANES, 2015-2016) database includes the confirmed type 1 2 (HSV-1 HSV-2, respectively) status...
Comprehensive pharmacogenomic understanding requires both robust genomic and demographic data. Patient registries present an opportunity to collect large amounts of robust, patient-level Pharmacogenomic advancement in the treatment infectious diseases is yet be fully realised. Herpes simplex virus (HSV) one disease for which wanting. This paper aims understand key factors that impact data collection quality medical suggest potential design features HSV registry overcome current constraints...
<sec> <title>BACKGROUND</title> Social distancing and shielding measures have been put in place to reduce social interaction slow the transmission of coronavirus disease (COVID-19). For older people, self-isolation presents particular challenges for mental health relationships. As time progresses, continued could a compounding impact on these concerns. </sec> <title>OBJECTIVE</title> This project aims provide tool people their families peers improve well-being during after regulated...
Abstract Background Collecting data from people with herpes simplex virus is challenging because of poor quality, low user engagement, and concerns around stigma anonymity. This project aimed to improve collection for a real-world HSV registry by identifying predictors infection selecting limited number relevant questions ask new users in order determine the risk group. Methods . The US National Health Nutrition Examination Survey (NHANES, 2015-16) database has confirmed HSV1 HSV2 status...
<sec> <title>UNSTRUCTURED</title> Global healthcare systems need to evolve ensure optimal, safe, and ethical utilisation of health data the latest digital technologies, such as Artificial Intelligence (AI), Privacy Enhancing Technologies (PETs), Distributed Ledger (DLTs), meet challenges a global ageing population. Simultaneously, increasing capabilities remote measurement technologies proliferation 5G networks demonstrates that are now more accessible much larger population, offering an...
gradient bottom PMS 1815C C13 M96 Y81 K54 on dark backgrounds light standard no gradients watermark stacked logo (for sharing only) white WHITE C0 M0 Y0 K0
<sec> <title>BACKGROUND</title> Researching people with herpes simplex virus (HSV) is challenging because of poor data quality, low user engagement, and concerns around stigma anonymity. </sec> <title>OBJECTIVE</title> This project aimed to improve collection for a real-world HSV registry by identifying predictors infection selecting limited number relevant questions ask new users determine their level risk. <title>METHODS</title> The US National Health Nutrition Examination Survey (NHANES,...
<sec> <title>UNSTRUCTURED</title> This is author responses. </sec>