Incidence of childhood and youth epilepsy: A population-based prospective cohort study utilizing current International League Against Epilepsy classifications for seizures, syndromes, and etiologies.

Objective: This study was undertaken to describe incidence and distribution of seizures, etiologies, and epilepsy syndromes in the general child and youth population, using the current International League Against Epilepsy (ILAE) classifications.

Methods: The study platform is the Norwegian Mother, Father, and Child Cohort Study (MoBa). Epilepsy cases were identified through registry linkages facilitated by Norway's universal health care system and mandatory reporting to the Norwegian Patient Registry.

A phase II study of personalized ultrafractionated stereotactic adaptive radiotherapy for palliative head and neck cancer treatment (PULS-Pal): a single-arm clinical trial protocol.

Background: Many patients with head and neck cancer are not candidates for standard of care definitive treatments though often require palliative treatments given the frequent symptoms associated with head and neck cancer. While existing palliative radiotherapy regimens can provide adequate symptom control, they have limitations particularly with respect to local control which is becoming more important as advances in systemic therapy are improving survival. Personalized ultrafractionated stereotactic adaptive radiotherapy (PULSAR) is a novel radiotherapy regimen which leverages advances in radiotherapy treatment technology and extended interfraction intervals to enable adaptive radiotherapy and possible synergy with the immune system.

Investigation of Severe Hypoglycemia Risk Among Patients with Diabetes Treated with Ultra-Rapid Lispro in Japan.

Introduction: There is no information on the incidence of severe hypoglycemia in real-world patients with diabetes receiving ultra-rapid lispro (URLi). This post-marketing, observational, safety study assessed the incidence proportion and incidence rate of the first severe hypoglycemia event requiring a hospital visit in URLi-treated patients. It also compared the risk of severe hypoglycemia between patients treated with URLi or other rapid-acting insulin analogs (RAIAs).

Harnessing microalgae for metal nanoparticles biogenesis using heavy metal ions from wastewater as a metal precursor: A review.

Heavy metal contamination of water sources has long been a silent yet potent threat, endangering environmental and human health. Conventional wastewater treatments are costly due to high infrastructure expenses, energy consumption, and chemical usage. These treatments lead to secondary environmental pollution, such as producing toxic sludge, greenhouse gaseous emissions, and residual pollutants discharges.

MUsculo-Skeleton-Aware (MUSA) deep learning for anatomically guided head-and-neck CT deformable registration.

Deep-learning-based deformable image registration (DL-DIR) has demonstrated improved accuracy compared to time-consuming non-DL methods across various anatomical sites. However, DL-DIR is still challenging in heterogeneous tissue regions with large deformation. In fact, several state-of-the-art DL-DIR methods fail to capture the large, anatomically plausible deformation when tested on head-and-neck computed tomography (CT) images.