Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
and JavaScript.
Le Rutte, Shattock et al. develop an individual-based SARS-CoV-2 transmission model to identify thresholds for dominance, health impact, risk to health systems, and required interventions for emerging variants of concern. This model shows that even if an emerging variant is less severe, first generation vaccines might not be sufficient to avoid overloaded health care systems.
Servellita et al. develop a machine learning-based classifier to diagnose Lyme disease using gene expression data. The classifier achieves high sensitivity for early infections, even prior to positivity on antibody testing.
Sarraju, Coquet et al. utilise a natural language processing approach to identify reasons for statin nonuse in the health records of patients with atherosclerotic cardiovascular disease (ASCVD). Their approach identifies patient-level and clinician-level reasons for statin nonuse, with differences by ASCVD type and patient race/ethnicity.
Li et al. report outcomes from the atezolizumab/isatuximab arm of the phase Ib/II MORPHEUS-CRC trial in patients with metastatic colorectal cancer. In addition, the authors leverage historical control data from the phase III IMblaze370 study to provide more precise treatment effect estimates.
Piombo et al. analyse social networks of cancer clinicians to study referral practices to a cancer survivorship clinic at a comprehensive cancer centre. The authors identify key opinion leaders within the networks and suggest interventions to improve referrals to survivorship services.
Moroishi et al. compare the occurrence of infections and associated symptoms during the first year of life with the gut microbiome at six weeks of age. Intestinal microbial diversity and the relative abundance of key taxa in early infancy may influence susceptibility to respiratory infection, wheezing, and diarrhea.
Lake, Roeder et al. measured neutralizing antibody responses after 2 and 3 doses of mRNA COVID vaccination. Recipients who did not generate strong neutralizing antibody responses after 2 vaccine doses were found to have high levels of neutralizing antibodies after a third vaccine dose.
Wells et al. use mathematical modeling to compare quarantine duration, testing frequency, and false-positive rate for 18 rapid antigen (RA) and RT-PCR tests. They show that the relative effectiveness of RA and RT-PCR tests in reducing post-quarantine transmission depends on the quarantine duration, the timing of their use in the infection time course, and the turnaround time of test results.
Wong et al. describe a machine learning approach for visual auditing of lateral flow tests for SARS-CoV-2 antibodies. Their automated analysis shows strong agreement with experts and consistently better performance than non-expert study participants at classifying positive results.
Zhang et al. test the therapeutic potential of an inhibitor of BAD phosphorylation, NPB, in epithelial ovarian cancer. The authors show that the small molecule synergises with PARP inhibition to kill patient-derived ovarian cancer organoids and suppress the growth of xenograft tumours, including a cisplatin-resistant model.
Raheem, Sliz et al. study the serum metabolome and an imaging-based measure of visceral fat in adults and adolescents. The authors find that, independently of BMI, visceral fat quantity is associated with a metabolomic profile similar to those predictive of type 2 diabetes and myocardial infarction.
Meier, Nuciforo, Coto-Llerena et al. report a rare case of a patient with hepatocellular carcinoma with neuroendocrine differentiation. The authors establish organoids that recapitulate the genetic features of the patient’s tumor and are used for ex vivo drug testing to guide therapy selection in the patient.
Lubinda et al. analyse over 32 million health-facility reported malaria cases in Zambia (2009–15) to examine spatially-structured temporal trends. They observe overall increasing trends in risk and rates and highlight the potential benefits of using an adaptive scaling approach in national malaria strategies, and a need for cross-border initiatives.
Campos et al. assessed the impact of a booster dose of BNT162b2 on antibody neutralization against the SARS-CoV-2 Omicron variant, following two doses of the CoronaVac vaccine. Neutralization mean titers against Omicron decrease over time following two doses of CoronaVac but increase again after the BNT162b2 booster, as does seroconversion.
Tovar et al. use a data-driven epidemiological model for tuberculosis (TB) spreading to describe an expected rise in TB incidence and mortality due to COVID-associated disruption in TB diagnosis and treatment. Their calculations predict higher incidence and mortality due to reduced diagnosis of new TB cases, however suggest increased diagnostic capacity could mitigate this situation.
Leng et al. study the effect of notification window length on the epidemiological impact of COVID-19 contact tracing mobile apps with mathematical modelling. They demonstrate that short windows can be more effective at reducing transmission if they are associated with higher levels of active app usage and adherence to isolation upon notification.
Bandyopadhyay, Schips et al. model the factors contributing to overloading of healthcare facilities during the first COVID-19 wave in Italy. They predict that an early test and isolate intervention could have reduced healthcare usage and death rates but would not have kept hospitalizations within pre-pandemic hospital limits.
Langton et al. identify HLA alleles associated with development of delayed-type hypersensitivity following hip arthroplasty. They train an algorithm to predict hypersensitivity which could improve implant selection and enable targeted patient surveillance following surgery.
Inglese et al. develop a predictive model that computes multi-regional statistical morpho-functional mesoscopic traits from T1-weighted magnetic resonance imaging scans. Their model reliably discriminates people with Alzheimer’s disease-related pathologies from those without.
Chan et al. develop an open-source smartphone-based tympanometer to evaluate middle ear function. The authors test their device in a group of paediatric patients at an audiology clinic and report a high level of agreement in audiologists’ classification of tympanograms produced using this device compared with a commercial device.