BiomedGrid

  Effect of Circadian Rhythm - Autonomic Nervous System - Endocrine Hormone Axis on The Occurrence and Development of Diabetes: A Review and Perspective Abstract There are obvious circadian rhythms in organisms. In modern society, circadian rhythm disorders can be caused by factors such as shift work, staying up late for a long time, outbound tourism, psychological stress, various diseases and so on, and the disorders will regulate the physiological and biochemical functions of various tissues and organs through the autonomic nervous system, including the secretion and release of hormones, and then affect the occurrence and development of the disease further. At present, diabetes has become the sixth leading cause of death, and gradually tends to be younger. Considering the effects of systematic and holistic changes, such as circadian rhythm, autonomic nervous system and endocrine hormones, on the occurrence and development of diabetes, this paper summarizes the regulation of circa...

  Non-Invasive Low PEEP Versus High PEEP Ventilation Strategy in Severe COVID-19 Patients: An Observational Case – Control Study Abstract Since the best ventilation strategy of severe covid-19 patients is still uncertain, we conducted a retrospective case–control study to evaluate the outcome of severe covid-19 patients treated in the emergency department (ED) with a non-invasive low positive end-expiratory pressure (PEEP) and early weaning strategy and compared it to a non-invasive high-PEEP strategy. Primary outcome was a composite outcome of ETI rate and/or in-hospital mortality at 7 and 28 days from admission to the ED. We compared 24 severe covid-19 patients treated with non-invasive low-PEEP to 26 sex- and age-matched controls. Main demographic characteristics, p/F ratio, creatinine, procalcitonine, C-reactive protein, d-dimer levels, APACHE II score and NEWS were comparable at admission. The case group received more frequently antivirals (mainly darunavir/cobicistat) and hyd...

  Implementing Artificial Intelligence in Health Care: Data and Algorithm Challenges and Policy Considerations Abstract Artificial Intelligence (AI) is already driving fundamental changes in health care operations and patient care, and is showing promise to significantly advance the quadruple aim - enhance the patient experience, improve population health, reduce costs and improve the provider experience. However, along with these impressive advances and the realistic potential to transform health care in the near term come thorny questions about liability and accountability, algorithmic bias and representative data, and the ability to accurately interpret and explain data. We address the challenges of implementing AI in routine health care practice by looking at the role of data and algorithms and the implications for medical malpractice. We then summarize ongoing efforts to create AI policy and regulation globally to address these challenges in order to enable the mainstreaming o...