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Comparison of Clinical and Radiological Outcomes of Three-Column Lumbar Osteotomies with and without Interbody Cages for Adult Spinal Deformity.
Spine J
January 2025
International Spine Study Group Foundation, Denver, Colorado, USA.
Background Context: Correcting sagittal malalignment in adult spinal deformity (ASD) is a challenging task, often requiring complex surgical interventions like pedicle subtraction osteotomies (PSOs). Different types of three-column osteotomies (3COs), including Schwab 3, Schwab 4, Schwab 4 with interbody cages, and the "sandwich" technique, aim to optimize alignment and fusion outcomes. The role of interbody cages in enhancing fusion and segmental correction remains unclear.
View Article and Find Full Text PDFMechanism-guided engineering of a minimal biological particle for genome editing.
Proc Natl Acad Sci U S A
January 2025
Innovative Genomics Institute, University of California, Berkeley, CA 94720.
The widespread application of genome editing to treat and cure disease requires the delivery of genome editors into the nucleus of target cells. Enveloped delivery vehicles (EDVs) are engineered virally derived particles capable of packaging and delivering CRISPR-Cas9 ribonucleoproteins (RNPs). However, the presence of lentiviral genome encapsulation and replication proteins in EDVs has obscured the underlying delivery mechanism and precluded particle optimization.
View Article and Find Full Text PDFRisk Management: Artificial Intelligence in Clinical Practice.
Innov Clin Neurosci
December 2024
Ms. Vanderpool is Director of Risk Management at Professional Risk Management Services (PRMS).
This ongoing column is dedicated to providing information to our readers on managing legal risks associated with medical practice. We invite questions from our readers. The answers are provided by PRMS (www.
View Article and Find Full Text PDFFunctional protein mining with conformal guarantees.
Nat Commun
January 2025
Innovative Genomics Institute; University of California, Berkeley, CA, USA.
Molecular structure prediction and homology detection offer promising paths to discovering protein function and evolutionary relationships. However, current approaches lack statistical reliability assurances, limiting their practical utility for selecting proteins for further experimental and in-silico characterization. To address this challenge, we introduce a statistically principled approach to protein search leveraging principles from conformal prediction, offering a framework that ensures statistical guarantees with user-specified risk and provides calibrated probabilities (rather than raw ML scores) for any protein search model.
View Article and Find Full Text PDFAlmost 40 years ago, the American astronomer, planetary scientist, and science communicator, Carl Sagan, reflected on the role of mass media in science communication. "How much science and technology do you see in the mass media? Every newspaper has a daily astrology column. How many have even a weekly science column?" he asked, lamenting the limited science coverage in newspapers.
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