A5074038660- Health Systems, Economic Evaluations, Quality of Life
- Dementia and Cognitive Impairment Research
- Spondyloarthritis Studies and Treatments
- Healthcare Operations and Scheduling Optimization
- Rheumatoid Arthritis Research and Therapies
- Pharmaceutical Practices and Patient Outcomes
- Statistical Methods in Clinical Trials
- Machine Learning in Healthcare
- Palliative Care and End-of-Life Issues
- Research in Social Sciences
- Frailty in Older Adults
- Maternal and Perinatal Health Interventions
- Evaluation and Performance Assessment
- Radiomics and Machine Learning in Medical Imaging
- Patient-Provider Communication in Healthcare
- Maternal Mental Health During Pregnancy and Postpartum
- Advanced Causal Inference Techniques
- Health, Environment, Cognitive Aging
- Artificial Intelligence in Healthcare
- Healthcare Policy and Management
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Psoriasis: Treatment and Pathogenesis
- Artificial Intelligence in Healthcare and Education
- Maternal and fetal healthcare
Integra LifeSciences (United States)
2020-2021
Certara (United States)
2020-2021
ROADMAP is a public-private advisory partnership to evaluate the usability of multiple data sources, including real-world evidence, in decision-making process for new treatments Alzheimer's disease, and advance key concepts disease pharmacoeconomic modeling.ROADMAP identified patient outcomes stakeholders
Improved multiple sclerosis (MS) diagnosis and increased availability of intravenous disease-modifying treatments can lead to overburdening infusion centres. This study was focused on developing a decision-support tool help centres plan their operations.A discrete event simulation model ('ENTIMOS') developed using Simul8 software in collaboration with clinical experts. Model inputs included treatment-specific parameters, resources such as chairs nursing staff, costs, while outputs patient...
The objective of this paper was to identify predictors a vaginal birth in individuals with singleton pregnancies and Bishop Score <4, following Induction Labor (IoL) using dinoprostone insert (DVI). Secondarily, we sought understand the association between oxytocin use for labor augmentation IoL outcomes.We developed internally validated multivariate prediction model machine learning (ML) applied data from two Phase-III randomized controlled double-blind trials (NCT01127581, NCT00308711)....
Administration of intravenous (IV), high-efficacy treatments (HETs) for the treatment multiple sclerosis (MS) poses a high resourcing and planning burden on infusion centres, resulting in delays that may increase risk breakthrough disease activity. Simulation tools can be used to systematically analyse capacity scenarios identify better understand constraints, therefore enabling decision-makers optimise patient care. We have previously applied ENTIMOS, discrete event simulation model, assess...
Introduction The therapeutic paradigm in Alzheimer’s disease (AD) has shifted towards secondary prevention, defined as an intervention aiming to prevent or delay onset pre-symptomatic individuals at risk of developing dementia due AD. key feature AD prevention is the need treat years even decades before cognitive, behavioural functional decline. Prediction and evaluation long-term treatment outcomes this setting requires predictive modelling associated with ethical concerns social...
<h3>Background:</h3> Ankylosing spondylitis (AS) is an inflammatory disease resulting in progressive disability due to structural damage the spine. The identification of predictors progression would allow treating physicians personalize treatments but requires approach accounting for a relatively short follow-up clinical studies, large between-patient variability, and low sensitivity X-ray images which generate intra-patient variability when repeated measurements are taken....