Perceptions of hypnotherapy for children with functional abdominal pain: a qualitative study.

Background: Hypnotherapy is an effective treatment for children with functional abdominal pain in secondary care. However, children usually present first to general practitioners (GPs) in Dutch primary care, and it is unknown how children, parents, and GPs perceive hypnotherapy in this setting.

Objective: To explore the perceptions of children, parents, and GPs about hypnotherapy in primary care for children with functional abdominal pain.

Multi-system benefits of non-invasive spinal cord stimulation following cervical spinal cord injury: a case study.

Unlabelled: Cervical spinal cord injury (SCI) impairs sensorimotor and autonomic functions. We investigated the effects of lumbosacral transcutaneous spinal cord stimulation (tSCS) on urinary bladder, bowel, and sexual function as well as cardiovascular and sensorimotor functions in one individual with chronic clinically motor-complete cervical SCI, 11 years post-injury. Following 30 sessions of lumbosacral tSCS, the individual presented with improved urinary bladder compliance as well as anorectal function in parallel with mitigation of the severity of autonomic dysreflexia during filling cystometry and anorectal manometry.

Human Placental Extract Enhances Neonatal Intestinal Epithelial Reparative Capacity in Porcine Models.

Background And Aims: The devastation caused by necrotizing enterocolitis (NEC) has continued to claim the lives of infants despite advances in neonatal medicine. To address the acute, and often severe, intestinal epithelial damage caused by NEC, therapeutics that directly target epithelial recovery and cellular regeneration processes are needed.

Methods: We investigated the capacity of a decellularized human placental extract (HPE) to prevent and enhance recovery from NEC-like injury using in vitro and in vivo models.

3D spatial sampling to quantify morphologic heterogeneity in isocitrate dehydrogenase-wildtype glioblastoma.

Advances in digital pathology and machine learning have the potential to revolutionize diagnostic neuropathology. Current brain tumor models are typically trained and validated using morphologic features from a single hematoxylin and eosin (H&E)-stained slide per patient. Yet, brain tumors such as diffuse glioma are known for their epigenetic, genetic, and transcriptional heterogeneity within an individual patient.