Regional Gene Therapy Compared to Recombinant BMP-2 for the Treatment of Critical-Size Bone Defects: An In Vivo Single-Cell RNA-Sequencing Study.

regional gene therapy is a promising tissue-engineering strategy for bone regeneration: osteogenic mesenchymal stem cells (MSCs) can be genetically modified to express an osteoinductive stimulus (e.g., bone morphogenetic protein-2), seeded onto an osteoconductive scaffold, and then implanted into a bone defect to exert a therapeutic effect.

Monitoring the Land and Sea: Enhancing Efficiency Through CRISPR-Cas Driven Depletion and Enrichment of Environmental DNA.

Characterizing biodiversity using environmental DNA (eDNA) represents a paradigm shift in our capacity for biomonitoring complex environments, both aquatic and terrestrial. However, eDNA biomonitoring is limited by biases toward certain species and the low taxonomic resolution of current metabarcoding approaches. Shotgun metagenomics of eDNA enables the collection of whole ecosystem data by sequencing all molecules present, allowing characterization and identification.

Predictors of renal outcomes and mortality in patients with renal vein thrombosis: a retrospective multicenter study.

Background: Studies on renal vein thrombosis have been conducted as case reports or case series. The renal outcomes and mortality risk of renal vein thrombosis have not been fully established. We aimed to investigate the clinical characteristics, treatment modalities, and predictors of renal outcomes and mortality in patients with renal vein thrombosis in a large multicenter cohort.

Changes in Segmental and Lumbar Lordosis Following Lumbar Interbody Fusion: A Systematic Review and Meta-Analysis.

Study Design: Systematic review and meta-analysis.

Objective: To compare radiographic outcomes across lumbar interbody fusion (LIF) techniques, assessing segmental and global lumbar lordosis restoration.

Summary Of Background Data: LIF is a commonly utilized procedure to treat various spinal conditions, including degenerative pathology and adult spinal deformity.

Artificial Intelligence Compared to Manual Selection of Prospective Surgical Residents.

Background: Artificial Intelligence (AI) in the selection of residency program applicants is a new tool that is gaining traction, with the aim of screening high numbers of applicants while introducing objectivity and mitigating bias in a traditionally subjective process. This study aims to compare applicants screened by an AI software to a single Program Director (PD) for interview selection.

Methods: A single PD at an ACGME-accredited, academic general surgery program screened applicants.