The future of big data: Remote monitoring of positive airway pressure treatment for obstructive sleep apnea - insights from adults and implications for pediatric care.

The advent of large expansive datasets has generated substantial interest as a means of developing and implementing unique algorithms that facilitate more precise and personalized interventions. This methodology has permeated the realm of sleep medicine and in the care of patients with sleep disorders. One of the large repositories of information consists of adherence and physiological datasets across long periods of time as derived from patients undergoing positive airway pressure (PAP) treatment for sleep-disordered breathing.

InspireGBs - Inspiratory muscle training in people with Guillain-Barré syndrome: A feasibility study.

Background: Guillain-Barré syndrome (GBS) is a rare immune-mediated peripheral nerve disease often preceded by infections. Respiratory muscle weakness is a common complication in this population, leading to decreased vital capacity, weakened coughing ability, atelectasis, and pulmonary infections. Inspiratory muscle training (IMT) has been widely used to enhance inspiratory muscle strength and pulmonary function in various diseases; however, its application in GBS is unknown.