Hypercholesterolemia vs Genesis Study

@Point of Care™ with Cognitive AI is a clinical decision-making mobile platform. Hypercholesterolemia @Point of Care™ provides a streamlined clinical decision support tool for clinicians to obtain content when it is needed—enabling better decisions, better outcomes, and better care. With Cognitive AI, clinicians use @Point of Care™ to easily access curated, evidence-based, and disease-specific medical content. Clinicians navigate content by asking voice-enabled natural language questions. With Cognitive AI, confidence-rated answers to efficiently incorporate best treatment options happen more quickly and decisions are made faster to improve patient outcomes at the point of care. Hypercholesterolemia @Point of Care™ is designed to: • Support discovery and practice change • Provide relevant, evidence-based disease-specific medical content • Improve patient outcomes at the point of care Features: • Continually updated Hypercholesterolemia content • Topics in diagnosis, treatment, and care management developed with expert physician authors • Case studies, videos, and interviews • Access to actionable patient-recorded data • Detailed reference list with access to original sources • Continuing medical education credit (CME/CE) • Surveys and peer polling • Patient education resources to share with patients

A 12-month randomised, double-blind, controlled, international multicentre trial comparing changes in cigarette consumption after switching to high or low nicotine strength e-cigarettes in smokers with Schizophrenia spectrum disorders. This will be a multicenter, 12-months prospective trial, utilizing a randomized, double-blind, 2-arm parallel, switching design to compare effectiveness, tolerability, acceptability, and pattern of use between high (JUUL 5% nicotine) and low nicotine strength devices (JUUL 1.5% nicotine) in adult smokers with schizophrenia spectrum disorders. The study will take place at 5 sites: 1 in the UK (London) and possibly 4 in Italy. DISCLAIMER : To seek a doctor’s advice in addition to using this app and before making any medical decisions. We are using HealthKit to get step count to display on Health Dairy screen and graph on Report screen. We also send daily step count to server with questionary for study purpose.