A5079356686- COVID-19 epidemiological studies
- Diabetes Management and Research
- COVID-19 and Mental Health
- COVID-19 Clinical Research Studies
- Long-Term Effects of COVID-19
- Diabetes Treatment and Management
- SARS-CoV-2 and COVID-19 Research
- Genetic Associations and Epidemiology
- Data-Driven Disease Surveillance
- Vaccine Coverage and Hesitancy
- Machine Learning in Healthcare
- Nutritional Studies and Diet
- LGBTQ Health, Identity, and Policy
- Maternal and Perinatal Health Interventions
- Birth, Development, and Health
- Gender Roles and Identity Studies
- COVID-19 and healthcare impacts
- Child and Adolescent Health
- COVID-19 diagnosis using AI
- SARS-CoV-2 detection and testing
- COVID-19 Digital Contact Tracing
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Artificial Intelligence in Healthcare
- Metabolomics and Mass Spectrometry Studies
- Obesity, Physical Activity, Diet
Weizmann Institute of Science
2020-2024
Howard Brown Health Center
2021
University of Louisville
2013
Abstract As the COVID-19 pandemic progresses, obtaining information on symptoms dynamics is of essence. Here, we extracted data from primary-care electronic health records and nationwide distributed surveys to assess longitudinal prior throughout SARS-CoV-2 infection. Information was available for 206,377 individuals, including 2471 positive cases. The two datasources were discordant, with survey capturing most more sensitively. prevalent included fever, cough fatigue. Loss taste smell 3...
This study examined the relationships between social support, coping, depression, and anxiety in a sample of genderqueer individuals (n = 64). Genderqueer is label used within broader transgender community defined as gender identity that outside binary construct male female. Findings indicate 53% 34) participants reported clinical levels depression 39% 25) anxiety. There was direct relationship support anxiety, indicating more associated with less when statistically excluding coping factors....
Abstract The spread of Coronavirus disease 19 (COVID-19) has led to many healthcare systems being overwhelmed by the rapid emergence new cases. Here, we study ramifications hospital load due COVID-19 morbidity on in-hospital mortality patients with analyzing records all 22,636 hospitalized in Israel from mid-July 2020 mid-January 2021. We show that even under moderately heavy patient (>500 countrywide severely-ill patients; Israeli Ministry Health defined 800 as maximum capacity allowing...
SummaryBackgroundMultiple voluntary surveillance platforms were developed across the world in response to COVID-19 pandemic, providing a real-time understanding of population-based epidemiology. During this time, testing criteria broadened and health-care policies matured. We aimed test whether there consistent associations symptoms with SARS-CoV-2 status three countries (two per country), during periods policy changes.MethodsFor observational study, we used data observations from volunteer...
We call upon the research community to standardize efforts use daily self-reported data about COVID-19 symptoms in response pandemic and form a collaborative consortium maximize global gain while protecting participant privacy.
Abstract Studies on the real-life impact of BNT162b2 vaccine, recently authorized for prevention coronavirus disease 2019 (COVID-19), are urgently needed. Here, we analysed temporal dynamics number new COVID-19 cases and hospitalization in Israel following a rapid vaccination campaign initiated December 20th, 2020. We conducted retrospective descriptive analysis data originating from Israeli Ministry Health (MOH) March 2020 to February 2021. In order distill possible effect vaccinations...
Abstract The COVID-19 pandemic poses multiple psychologically stressful challenges and is associated with an increased risk for mental illness. Previous studies have focused on the psychopathological symptoms outbreak peak. Here, we examined behavioural mental-health impact of in Israel using online survey, during six weeks encompassing end first beginning second. We used clinically validated instruments to assess anxiety- depression-related emotional distress, symptoms, coping strategies,...
Abstract Coronavirus infection spreads in clusters and therefore early identification of these is critical for slowing down the spread virus. Here, we propose that daily population-wide surveys assess development symptoms caused by virus could serve as a strategic valuable tool identifying such to inform epidemiologists, public health officials, policy makers. We show preliminary results from survey over 58,000 Israelis call an international consortium extend this concept order develop...
Background: Multiple participatory surveillance platforms were developed across the world in response to COVID-19 pandemic, providing a real-time understanding of community-wide epidemiology. During this time, testing criteria broadened and healthcare policies matured. We sought test whether there consistent associations symptoms with SARS-CoV-2 status three national platforms, during periods policy changes, inconsistencies could better inform our future studies as pandemic progresses....
Abstract Aims The advantages of direct oral anticoagulants (DOACs) over warfarin are well established in atrial fibrillation (AF) patients, however, studies that can guide the selection between different DOACs limited. aim was to compare clinical outcomes treatment with apixaban, rivaroxaban, and dabigatran patients AF. Methods results We conducted a retrospective, nationwide, propensity score-matched-based observational study from Clalit Health Services. Data 141 992 individuals AF used...
Abstract The gold standard for COVID-19 diagnosis is detection of viral RNA in a reverse transcription PCR test. Due to global limitations testing capacity, effective prioritization individuals essential. Here, we devised model that estimates the probability an individual test positive based on answers 9 simple questions regarding age, gender, presence prior medical conditions, general feeling, and symptoms fever, cough, shortness breath, sore throat loss taste or smell, all which have been...
Abstract Fundus imaging has emerged as a powerful tool, allowing high-resolution and non-invasive visualization of the fundus microvasculature. Recent advancements in artificial intelligence (AI) have enabled quantification microvascular characteristics, paving way for development predictive markers systemic conditions. In this study, we characterize microvasculature among 8467 healthy individuals, aged 40-70 years. We employ fully automated segmentation tool to calculate 12 distinct vessel...
Abstract The vast and rapid spread of COVID-19 calls for immediate action from policy-makers, indeed various lockdown measures were implemented in many countries. Here, we utilized nationwide surveys that assess associated symptoms to analyze the effect policy Israel on prevalence clinical population. Daily symptom distributed online included fever, respiratory symptoms, gastrointestinal anosmia Ageusia. A total 1,456,461 survey responses analyzed. We defined a single measure Symptoms...
Substantial advances in multi-modal Artificial Intelligence (AI) facilitate the combination of diverse medical modalities to achieve holistic health assessments. We present COMPRER , a novel multi-modal, multi-objective pretraining framework which enhances medical-image representation, diagnostic inferences, and prognosis diseases. employs training framework, where each objective introduces distinct knowledge model. This includes multimodal loss that consolidates information across different...