The phenotype of infused cells is a major determinant of Adoptive T-cell therapy (ACT) efficacy. Yet, the difficulty in deciphering multiparametric cytometry data limited the fine characterization of cellular products. To allow the analysis of dynamic and complex flow cytometry samples, we developed cytoChain, a novel dataset mining tool and a new analytical workflow. CytoChain was challenged to compare state-of-the-art and innovative culture conditions to generate stem-like memory cells (TSCM ) suitable for ACT. Noticeably, the combination of IL-7/15 and superoxides scavenging sustained the emergence of a previously unidentified nonexhausted Fit-TSCM signature, overlooked by manual gating and endowed with superior expansion potential. CytoChain proficiently traced back this population in independent datasets, and in T-cell receptor engineered lymphocytes. CytoChain flexibility and function were then further validated on a published dataset from circulating T cells in COVID-19 patients. Collectively, our results support the use of cytoChain to identify novel, functionally critical immunophenotypes for ACT and patients immunomonitoring. Transitioning to primary care is a highly stressful process for nurses due to the diverse roles and responsibilities required. Despite the global shift of health services requiring more nurses in primary care, there is a dearth of literature regarding their transition experiences. To explore the perceptions and experiences of nurses transitioning to primary care. A qualitative descriptive design was used. Nineteen nurses from five primary care clinics in Singapore participated in the semi-structured interviews. These interviews gathered the experiences of nurses transitioning to primary care. Interviews were analysed using thematic analysis through an inductive and theoretical approach. Rigour was established through an audit trail, peer examination and member checking. Three themes of Idealistic assumptions, Role realignment and Seeking enlightenment emerged. These themes described the nurses' initial disorientation to the unfamiliar primary care setting; their attempts to fit in by embracing the newecruitment campaigns at the national level. This brings clarity to the misconceptions in the roles and expectations required of nurses in primary care. Despite consensus guidelines, many men with low-grade prostate cancer are not managed with active surveillance. Patient perception of the nomenclature used to describe low-grade prostate cancers may partly explain this discrepancy. A randomized online survey was administered to men without a history of prostate cancer, presenting a hypothetical clinical scenario in which they are given a new diagnosis of low-grade prostate cancer. The authors determined whether diagnosis nomenclature was associated with management preference and diagnosis-related anxiety using ratings given on a scale from 1 to 100, adjusting for participant characteristics through multivariable linear regression. The survey was completed by 718 men. Compared with Gleason 6 out of 10 prostate cancer, the term grade group 1 out of 5 prostate cancer was associated with lower preference for immediate treatment versus active surveillance (β = -9.3; 95% CI, -14.4, -4.2; P < .001), lower diagnosis-related anxiety (β = -8.3; 95% CI, -12.8, pecific education reduces the differential impact of nomenclature use, reaffirming the importance of comprehensive counseling and clear communication between the clinician and patient.Identifying nuclei is a standard first step when analysing cells in microscopy images. The traditional approach relies on signal from a DNA stain, or fluorescent transgene expression localised to the nucleus. However, imaging techniques that do not use fluorescence can also carry useful information. Here, we used brightfield and fluorescence images of fixed cells with fluorescently labelled DNA, and confirmed that three convolutional neural network architectures can be adapted to segment nuclei from the brightfield channel, relying on fluorescence signal to extract the ground truth for training. We found that U-Net achieved the best overall performance, Mask R-CNN provided an additional benefit of instance segmentation, and that DeepCell proved too slow for practical application. SB590885 We trained the U-Net architecture on over 200 dataset variations, established that accurate segmentation is possible using as few as 16 training images, and that models trained on images from similar cell lines can extrapolate well. Acquiring data from multiple focal planes further helps distinguish nuclei in the samples. Overall, our work helps to liberate a fluorescence channel reserved for nuclear staining, thus providing more information from the specimen, and reducing reagents and time required for preparing imaging experiments.Recurrent vulvovaginal candidiasis (RVVC) is a subtype of vulvovaginal candidiasis, with debilitating effects on physical and emotional well-being affecting up to 10% of Australian women. Current evidence suggests that the induction and maintenance approach for RVVC is not particularly effective with post-treatment relapse rates as high as 57%. Frequently accessed Australasian RVVC prescribing resources and guidelines were examined showing a variety of adaptations of current evidence-based induction and maintenance therapies, making it difficult to select best treatment in clinical practice. The ways to introduce more clarity and consistency into these guidelines are outlined.The sex ratio at birth is defined as the secondary sex ratio (SSR). Ovarian hyperstimulation syndrome (OHSS) is a serious and iatrogenic complication associated with controlled ovarian stimulation (COS) during assisted reproductive technology (ART) treatments. It has been hypothesized that the human SSR is partially controlled by parental hormone levels around the time of conception. Given the aberrant hormonal profiles observed in patients with OHSS, this retrospective study was designed to evaluate the impact of OHSS on the SSR. In this study, all included patients were divided into 3 groups non-OHSS (n=2777), mild OHSS (n=644), and moderate OHSS (n=334). Our results showed that the overall SSR for the study population was 1.033. The SSR was significantly increased in patients with moderate OHSS (1.336) compared to non-OHSS patients (1.002) (p=0.048). Subgroup analyses showed that increases in the SSR in patients with moderate OHSS were observed in the IVF group (1.323 vs 1.052; p=0.043), but not in the ICSI groups (1.