Good scientific practice of using worldwide post-marketing surveillance data to ensure safety with HA BDDE cross-linked hyaluronic acid fillers.

Background: Aliaxin fillers (HA), produced by IBSA Farmaceutici Italia SrL (Italy), are biodegradable, non-pyrogenic, 1,4-butanediol diglycidyl ether cross-linked hyaluronic acid (HA) hydrogels. The formulations are tailored for different clinical indications, ensuring precise and natural outcomes. Their cohesivity and tissue integration capabilities are associated with relatively few adverse events (AEs), supporting their widespread use in aesthetic treatments.

Post-transplant relapse in pediatric acute lymphoblastic leukemia in the era of CAR-T cell therapy. A multicenter analysis of Grupo Español de Trasplante Hematopoyetico y Terapia Celular (GETH-TC) Pediatric Committee.

Background: The management of relapsed acute lymphoblastic leukemia (ALL) after hematopoietic stem cell transplantation (HSCT) has evolved significantly. Initially, treatment options were limited to palliative care, salvage chemotherapy, and second HSCT. Currently, the focus has shifted to innovative immunotherapies, particularly CAR T-cell therapy.

Efficacy of a Surgical versus a Nonsurgical Approach in the Treatment of Peri-Implant Diseases: A Systematic Review and Meta-Analysis.

The objective of the study was to compare the surgical vs. the nonsurgical techniques in the treatment of peri-implant diseases and to obtain a comprehensive analysis of the effects on BOP/probing depths when applying either the surgical technique vs. a nonsurgical technique.

Correction: Reversion from basal histone H4 hypoacetylation at the replication fork increases DNA damage in FANCA deficient cells.

[This corrects the article DOI: 10.1371/journal.pone.

Enriching Earth observation datasets through semantics for climate change applications: The EIFFEL ontology.

Background: Earth Observation (EO) datasets have become vital for decision support applications, particularly from open satellite portals that provide extensive historical datasets. These datasets can be integrated with in-situ data to power artificial intelligence mechanisms for accurate forecasting and trend analysis. However, researchers and data scientists face challenges in finding appropriate EO datasets due to inconsistent metadata structures and varied keyword descriptions.