Going to extremes: progress in exploring new environments for novel antibiotics.

The discoveries of penicillin and streptomycin were pivotal for infection control with the knowledge subsequently being used to enable the discovery of many other antibiotics currently used in clinical practice. These valuable compounds are generally derived from mesophilic soil microorganisms, predominantly Streptomyces species. Unfortunately, problems with the replication of results suggested that this discovery strategy was no longer viable, motivating a switch to combinatorial chemistry in conjunction with existing screening programmes to derive new antimicrobials.

War and peace: exploring microbial defence systems as a source of new antimicrobial therapies.

The WHO has compiled a list of pathogens that urgently require new antibiotics in response to the rising reports of antibiotic resistance and a diminished supply of new antibiotics. At the top of this list is fluoroquinolone-resistant , fluoroquinolone-resistant spp. and vancomycin-resistant .

Investing in a New Role to Increase Timely Morning Discharges in the Inpatient Setting.

Objective: Delays in discharges have a downstream effect on emergency department admissions, wait times, intensive care unit transfers, and elective admissions. This quality improvement project's aim was to increase the percentage of discharges before noon from a hospital medicine service from 19% to 30% over a 6-month period and sustain the increase for 6 months.

Methods: Interventions included introduction of a dedicated patient flow provider (PFP), optimization of workflow, technology assistance with discharge tasks, and multidisciplinary education on patient flow.

ClassifieR 2.0: expanding interactive gene expression-based stratification to prostate and high-grade serous ovarian cancer.

Background: Advances in transcriptional profiling methods have enabled the discovery of molecular subtypes within and across traditional tissue-based cancer classifications. Such molecular subgroups hold potential for improving patient outcomes by guiding treatment decisions and revealing physiological distinctions and targetable pathways. Computational methods for stratifying transcriptomic data into molecular subgroups are increasingly abundant.