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Immunosuppressive mechanisms of oncofetal reprogramming in the tumor microenvironment: implications in immunotherapy response

Both fetal and tumor tissue microenvironments display immunosuppressive features characterized by the presence of specific immunomodulatory stromal and immune cell populations. Recently, we discovered shared microenvironments between hepatocellular carcinoma and fetal tissues and described this phenomenon as an oncofetal ecosystem.

The non-specific effects of maternal immunization on birth outcomes: The evidence, mechanisms, and the implications

Preterm birth (PTB) and stillbirth remain two of the most important causes of death, morbidity, and disability in childhood. Despite efforts to reduce PTB and stillbirth worldwide, rates of these adverse outcomes remain persistently elevated, independent of income setting. There is an urgent need for more effective interventions to reduce associated neonatal and early childhood morbidity and mortality.

An archetypes approach to malaria intervention impact mapping: a new framework and example application

As both mechanistic and geospatial malaria modeling methods become more integrated into malaria policy decisions, there is increasing demand for strategies that combine these two methods. This paper introduces a novel archetypes-based methodology for generating high-resolution intervention impact maps based on mechanistic model simulations. An example configuration of the framework is described and explored.

Experiences of Caregivers and At-Risk Children Enrolled in a Prospective Pregnancy-Birth Cohort Study into the Causes of Type 1 Diabetes: The ENDIA Study

We sought research experiences of caregivers and their children were enrolled in the Environmental Determinants of Islet Autoimmunity (ENDIA) study.

Life in a time of COVID: retrospective examination of the association between physical activity and mental well-being in western Australians during and after lockdown

The aim of this study was to examine physical activity and sedentary behaviours during Western Australia's COVID-19 lockdown and their association with mental well-being.

Parent-Child Interactions May Help to Explain Relations Between Parent Characteristics and Clinically Observed Child Autistic Behaviours

The importance of supporting parent-child interactions has been noted in the context of prodromal autism, but little consideration has been given to the possible contributing role of parental characteristics, such as psychological distress. This cross-sectional study tested models in which parent-child interaction variables mediated relations between parent characteristics and child autistic behaviour in a sample of families whose infant demonstrated early signs of autism.

A multi-institutional retrospective pooled outcome analysis of molecularly annotated pediatric supratentorial ZFTA-fused ependymoma

ZFTA-RELA (formerly known as c11orf-RELA) fused supratentorial ependymoma has been recognized as a novel entity in the 2016 WHO classification of CNS tumors and further defined in the recent 2021 edition.

“Ngany Kamam, I Speak Truly”: First-Person Accounts of Aboriginal Youth Voices in Mental Health Service Reform

Aboriginal young people are experts in their own experience and are best placed to identify the solutions to their mental health and wellbeing needs. Given that Aboriginal young people experience high rates of mental health concerns and are less likely than non-Indigenous young people to access mental health services, co-design and evaluation of appropriate mental health care is a priority.

Evaluation Tools Developed for Rett Syndrome

Rett syndrome (RTT) is a complex neurodevelopmental X-linked disorder associated with severe functional impairments and multiple comorbidities. There is wide variation in the clinical presentation, and because of its unique characteristics, several evaluation tools of clinical severity, behavior, and functional motor abilities have been proposed specifically for it.

disaggregation: An R Package for Bayesian Spatial Disaggregation Modeling

Disaggregation modeling, or downscaling, has become an important discipline in epidemiology. Surveillance data, aggregated over large regions, is becoming more common, leading to an increasing demand for modeling frameworks that can deal with this data to understand spatial patterns.