First clinical application of silicon-based [¹⁸F]siPSMA-14 in prostate cancer patients: A proof-of-concept study.

Silicon-based ligands are of interest in increasingly used Prostate-specific membrane antigen (PSMA) tracers for prostate cancer (PCa) staging due to their simple and scalable production. Here, we present first data on dosimetry and biodistribution of the novel PSMA-specific tracer [¹⁸F]siPSMA-14.Seven PCa patients referred for PSMA-PET/CT imaging were imaged at 60 and 120 min p.

Bovine viral diarrhea virus eradication in Germany: A never-ending success story or just the last 46 PI animals?

Bovine viral diarrhea virus (BVDV) is a globally significant pathogen of cattle, causing significant reproductive failure, immunosuppression, and economic losses. In Germany, a national bovine viral diarrhea (BVD) control program was initiated in 2011, aiming to eliminate the virus through systematic testing and early removal of persistently infected (PI) animals, supported by optional vaccination in the early stage of the program, biosecurity measures, and trade with certified unsuspicious cattle only. By 2024, the PI prevalence among newborn calves had declined from 0.

Application of a comprehensive approach to pathogen screening in a stowaway rat on an airplane.

In April 2017, a rat was observed on an airplane during a flight from Miami (USA) to Berlin (Germany). After landing in Berlin, significant efforts were made to trap the rat and disinfect the airplane. As rats are known reservoir hosts for a variety of zoonotic pathogens, this event necessitated the establishment of a standard workflow for the detection of rodent-borne pathogens.

Unraveling the loss of lysozyme concentration after tableting.

Therapeutic proteins are fragile compounds whose functions are dependent on their higher-order structure (HOS) formed by specific intramolecular interactions. Nevertheless, protein interactions can also impede the stability if they take place with surfaces or formulation components. Besides chemical and conformational alterations, it can lead to the reduction of free non-complexed protein concentration.

Preventing postoperative pulmonary complications by establishing a machine-learning assisted approach (PEPPERMINT): Study protocol for the creation of a risk prediction model.

Background: Postoperative pulmonary complications (POPC) are common after general anaesthesia and are a major cause of increased morbidity and mortality in surgical patients. However, prevention and treatment methods for POPC that are considered effective tie up human and technical resources. Therefore, the planned research project aims to create a prediction model that enables the reliable identification of high-risk patients immediately after surgery based on a tailored machine learning algorithm.