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http://dx.doi.org/10.1016/j.jaad.2023.09.026 | DOI Listing |
Int J Surg
September 2025
Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Background: Phrenic nerve injury during mediastinal tumor resection can lead to significant postoperative diaphragmatic dysfunction. Current intraoperative protection techniques are imprecise and lack real-time feedback. We aimed to develop and validate a quantifiable, multimodal neuroprotective strategy.
View Article and Find Full Text PDFChem Sci
September 2025
Molecular AI, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca Gothenburg Sweden
Incorporating non-natural amino acids (NNAAs) into peptides enhances therapeutic properties, including binding affinity, metabolic stability, and half-life time. The pursuit of novel NNAAs for improved peptide designs faces the challenge of effective synthesis of these building blocks as well as the entire peptide itself. Solid-Phase Peptide Synthesis (SPPS) is an essential technology for the automated assembly of peptides with NNAAs, necessitating careful protection for effective coupling of amino acids in the peptide chain.
View Article and Find Full Text PDFActa Ortop Mex
September 2025
Instituto Nacional de Rehabilitación «Dr. Luis Guillermo Ibarra Ibarra». Ciudad de México. México.
Introduction: the presence of implants that occupy the femoral canal is frequent in patients undergoing ipsilateral total knee replacement (TKR). The use of electronic alignment and robotic assistance make intramedullary alignment unnecessary and could be adequate in situations with an occupied femoral canal (OFC).
Material And Methods: we present a prospective cohort of 25 patients who underwent robotic alignment TKR and had prior ipsilateral surgery in the femur that resulted in occupied femoral canal.
Cell Rep Methods
August 2025
Department of Biomedical Engineering and Computational Biology Program, OHSU, Portland, OR, USA; Knight Cancer Institute, OHSU, Portland, OR, USA. Electronic address:
We present UniFORM, a non-parametric, Python-based pipeline for normalizing multiplex tissue imaging (MTI) data at both the feature and pixel levels. UniFORM employs an automated rigid landmark registration method tailored to the distributional characteristics of MTI, with UniFORM operating without prior distributional assumptions and handling both unimodal and bimodal patterns. By aligning the biologically invariant negative populations, UniFORM removes technical variation while preserving tissue-specific expression patterns in positive populations.
View Article and Find Full Text PDFInt J Med Inform
September 2025
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address:
Background: Identifying patient-specific barriers to statin therapy, such as intolerance or deferral, from clinical notes is a major challenge for improving cardiovascular care. Automating this process could enable targeted interventions and improve clinical decision support (CDS).
Objective: To develop and evaluate a novel hybrid artificial intelligence (AI) framework for accurately and efficiently extracting information on statin therapy barriers from large volumes of clinical notes.