Multi-target gene therapy AUP1602-C to improve healing and quality of life for diabetic foot ulcer patients: a phase I, open-label, dose-finding study.

Background: Diabetic foot ulcer (DFU) is a common and highly morbid complication of diabetes with high unmet medical needs. AUP1602-C, a topical four-in-one gene therapy medicinal product (GTMP), consisting of a strain that produces fibroblast growth factor-2, interleukin-4, and colony-stimulating factor-1, is a promising novel treatment for DFU.

Objectives: The aim of this first-in-human study was to investigate whether AUP1602-C is safe and effective in improving wound healing and quality of life (QoL) in patients with non-healing DFU (nhDFU), and to determine the recommended phase II dose.

An Unexpected Case of Clear Cell Adenocarcinoma of the Cervix in a Non-Diethylstilbestrol-Exposed Postmenopausal Woman.

Clear cell adenocarcinoma of the cervix (CCAC) is a rare subtype of cervical adenocarcinoma. It has been linked to intrauterine exposure to diethylstilbestrol (DES) but can happen in non-DES-exposed patients, albeit less commonly. Presentation is largely vaginal bleeding, emphasizing the importance of considering CCAC in the differential of abnormal vaginal bleeding despite the tumor's rarity.

CRISPR-associated Plasmonic Colorimeter Method (Ca-PCM): A real-time RGB detection system for gold nanoparticles-based nucleic acid biosensors.

Background: The detection of genetic sequences represents the gold standard procedure for species discrimination, genetic characterisation of tumours, and identification of pathogens. The development of new molecular detection methods, accessible and cost effective, is of great relevance. Biosensors based on plasmonic nanoparticles, such as gold nanoparticles (AuNPs), provide a powerful and versatile platform for highly sensitive, economic, user-friendly and label-free sensing.

Proactive deep learning-facilitated inpatient penicillin allergy delabelling: An implementation study.

Introduction: Erroneous penicillin allergy labels are associated with significant health and economic costs. This study aimed to determine whether deep learning-facilitated proactive consultation to facilitate delabelling may further enhance inpatient penicillin allergy delabelling.

Methods: This prospective implementation study utilised a deep learning-guided proactive consultation service, which utilized an inpatient penicillin allergy delabelling protocol.

The growing threat of multiyear droughts.

Understanding and monitoring ecological responses is important as droughts last longer.