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Helldén et al. apply the Sustainable Development Goals (SDGs) Synergies approach to investigate interactions between SDGs and child health in Cambodia in an interdisciplinary Cambodian stakeholder group. They identify SDGs that positively influence child health and show that progress on child health also promotes the achievement of most other goals.
Zuin et al. use a large dataset of blood count exams to predict SARS-CoV-2 PCR results with machine learning. The model performs well and is superior to those that do not take into account infection with other RNA respiratory viruses.
Airaksinen et al. describe an infant wearable system that accurately quantifies key aspects of infant motor ability and uses deep learning algorithms to analyze movement signals. Motor ability age and maturation can be predicted, with the predictions correlating with other clinical and parental assessments.
Truong Nguyen, Kant, Van den Broeck et al. report the SARS-CoV-2 lineages circulating in Finland in 2020. Phylogeographic analysis suggests that 42 independent SARS-CoV-2 introductions into Finland occurred, with a single introduction seeding one third of cases in the spring.
Pinckaers et al. develop a deep learning system to predict biochemical recurrence in prostate cancer patients treated with radical prostatectomy. The authors’ morphological biomarker provides predictive power beyond traditional Gleason grading, based on analysis of two clinical datasets from different institutions.
Sukhum, Newcomer et al. evaluate reservoirs of antibiotic-resistant organisms within the built environment and patient samples from an established and a newly-built intensive care unit. The authors demonstrate colonization of sink drains and other sites and show relatedness between environmental reservoirs and patient infections.
Leong et al. surveyed more than 35,000 participants in nine countries to assess the impact of novelty and conformity on mRNA Covid-19 vaccine hesitancy. They show that the use of mRNA vaccine technology increases the odds of vaccine hesitancy significantly while social conformity reduces it.
Mohammadi et al. evaluate immune markers and cell types associated with HIV susceptibility in the female genital tract before and after penile-vaginal sex. The authors report that these immune parameters increase rapidly and transiently after sex, with condom use affecting some of the changes observed.
Lu, Andescavage et al. scanned fetal brains by MRI and assessed maternal distress before and during the COVID-19 pandemic. Impaired fetal brain growth, delayed cerebral cortical gyrification and increased maternal distress was seen in COVID-19 pandemic era pregnancies.
Parker et al. determine the aroma compounds responsible for the distortions experienced by those with the olfactory disorder parosmia, by applying a technique normally used in flavour chemistry, GC-Olfactometry. The authors show that a group of 15 highly odour-active compounds are common triggers of distortion and individually elicit the perception of disgust.
Pagneux et al. developed a nanobody-functionalized electrochemical platform with smartphone readout to detect SARS-CoV-2 in clinical samples. They demonstrated that their device can rapidly and accurately detect SARS-CoV-2 in saliva and nasopharyngeal swab samples and discriminate between this virus and other respiratory viruses.
Vendrik et al performed a prospective matched case-control study on the genomic epidemiology of colistin-resistant Escherichia coli and Klebsiella pneumoniae from Dutch patients. Colistin resistance is present, but uncommon in the Netherlands and caused by the mcr gene in a minority of colistin-resistant isolates.
Brazeau et al. use a statistical modelling approach to estimate COVID-19 infection fatality ratios from seroprevalence data. The authors’ model accounts for seroreversion over the course of the pandemic, as well as other important uncertainties such as serologic test characteristics.
Wong, Lee et al. analyse trajectory patterns in the neutralising antibody response to SARS-CoV-2 in convalescent COVID-19 patients. The authors identify two major classes of patients—high-persistent and waning—reporting specific clinical characteristics of each class, which could help with targeted vaccination strategies.
Lohse, Sternjakob-Marthaler et al. assess anti-SARS-CoV-2 antibody responses of adults in the Saarland region of Germany after the first pandemic wave. They calculate infection and fatality rates, demonstrating that SARS-Cov-2 infections during this period were underreported.
Andersen et al. evaluate lymphocyte dynamics in chronic lymphocytic leukemia (CLL) patients prior to diagnosis. The authors develop a model to predict risk of requiring CLL treatment or death based on pre-diagnostic lymphocyte growth rates.
Knight et al. assess short-term patient-reported outcomes (PROs) and markers of neurotoxicity in patients with leukaemia or lymphoma treated with LV20.19 CAR T cells. In this small trial cohort, the authors report improvements in mood following CAR T infusion and identify kynurenine pathway molecules as potential markers of mood and neurotoxicity.
Rähni et al profile antibody response in patients with varied response to cancer immunotherapies. They identify antibody epitope responses that predict anti-cancer immunity elicited by immunotherapy.
Strobl et al. develop an agent-based spatial model of drug resistance in tumour cells under adaptive therapy. Using this model, they investigate how the tumour’s spatial architecture impacts intratumoural competitive dynamics of drug-sensitive vs. -resistant clones in response to therapy.
He et al. study the relationship between residential greenspace structures and frailty in a cohort of older adults from China. In their cross-sectional analyses, the authors report that higher levels of greenness are associated with lower levels of frailty, particularly amongst certain subgroups including women and centenarians.