THE WHO, WHAT, AND HOW OF INTERAGENCY CRIMINAL JUSTICE-BEHAVIORAL HEALTH TEAMS: Developing and Sustaining Collaborations.

Interagency teams are considered an evidence-based change practice, but there is a paucity of research examining them in criminal justice (CJ) and behavioral health (BH) reform contexts. This study draws on qualitative interviews ( = 52) and survey data ( = 791) from BH and CJ leaders across the United States to examine who is on them, what they do, and effective strategies for building and sustaining them. Findings indicated that CJ-BH interagency teams often incorporate agencies from a range of CJ, BH, social service, and health agencies.

Artificial intelligence and machine learning in veterinary medicine: a regulatory perspective on current initiatives and future prospects.

The US FDA's Center for Veterinary Medicine (CVM) is advancing its leadership in veterinary science by integrating AI and machine learning (ML) into its regulatory framework and scientific initiatives. This paper explores the CVM's strategic approach to harnessing these technologies to enhance human and animal health by supporting innovative products and methods. Key areas of focus include regulatory adaptation, genomic research, and information technology modernization.

Weight and Blood-Based Markers of Cachexia Predict Disability, Hospitalization and Worse Survival in Cancer Immunotherapy Patients.

Background: Cancer-associated cachexia can inhibit immune checkpoint inhibitor (ICI) therapy efficacy. Cachexia's effect on ICI therapy has not been studied in large cohorts of cancer patients aside from lung cancer. We studied associations between real-world routinely collected clinical cachexia markers and disability-free, hospitalization-free and overall survival of cancer patients.

Scoping review of robotics technology in spinal surgery with highlights of the Annual Seattle Science Foundation Course.

Background: Robotic assistance has become increasingly prevalent in spinal surgery in recent years, emerging as a tool to increase accuracy and precision and lower complication rates and radiation exposure. The 7 and 8 Annual Seattle Science Foundation (SSF) Robotics Courses showcased presentations and demonstrations from some of the field's most experiences leaders on latest topics in robotics and spinal surgery, including cutting-edge preoperative planning technologies, augmented reality (AR) in the operating room, cervical fusion with transpedicular screws, and neuro-oncologic management. We provide a scoping review of the use of robotics technology in spinal surgery featuring highlights from the 7 and 8 Annual SSF Robotics Courses.

Retraction notice to "UV light assisted photocatalytic degradation of textile waste water by MgZnFeO synthesized by combustion method and in-vitro antimicrobial activities" [Environ. Res. 204 (2022) 111917].

This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/locate/withdrawalpolicy).