Ultrasound-guided phlebotomy in primary care for people who inject drugs.

Objectives: Persons who inject drugs (PWID) commonly experience venous degradation as a complication of prolonged injection, which makes routine phlebotomy difficult. Clients may decline care due to the perceived lack of skilled phlebotomy services, and this contributes to significant delays in infectious disease screening and treatment. In this study, we investigated ultrasound-guided phlebotomy in clients with difficult venous access receiving care at two low-threshold buprenorphine clinics.

Community Wound Care Program Within a Syringe Exchange Program: Chicago, 2018-2019.

People who inject drugs (PWID) are at increased risk for developing wounds in addition to skin and soft tissue infections. The University of Illinois at Chicago College of Nursing, College of Medicine, and School of Public Health collaborated to establish a medical clinic serving PWID attending a Chicago syringe exchange program. A wound care program was implemented to improve clinicians' competence.

Decision support for using mobile Rapid DNA analysis at the crime scene.

Mobile Rapid DNA technology is close to being incorporated into crime scene investigations, with the potential to identify a perpetrator within hours. However, the use of these techniques entails the risk of losing the sample and potential evidence, because the device not only consumes the inserted sample, it is also is less sensitive than traditional technologies used in forensic laboratories. Scene of Crime Officers (SoCOs) therefore will face a 'time/success rate trade-off' issue when making a decision to apply this technology.

ADAGE signature analysis: differential expression analysis with data-defined gene sets.

Background: Gene set enrichment analysis and overrepresentation analyses are commonly used methods to determine the biological processes affected by a differential expression experiment. This approach requires biologically relevant gene sets, which are currently curated manually, limiting their availability and accuracy in many organisms without extensively curated resources. New feature learning approaches can now be paired with existing data collections to directly extract functional gene sets from big data.