Zimmer et al. discuss the importance of cough assessment in clinical management of tuberculosis (TB). They describe how acoustic epidemiology, which uses recording devices and artificial intelligence to detect, record and analyze cough, can be used in TB control and individual patient management.

Szarfman et al. discuss the importance of efficient, easy access to large quantities of health data to improve medical care and further medical research. They outline the issues currently experienced accessing and exchanging data in the USA and provide recommendations for how to improve data access and exchange.

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.

Clinical trials are required to ensure new treatments are safe and effective for patients. The involvement of participants in the planning and execution of clinical trials is critical not only to their success but also so that the participating communities can benefit from them.

Song et al. study the relationship between agonist-antagonist muscle strain (AMS) and motor control and perception in lower limb amputees, with some receiving a myoneural interface intervention. The authors report that the degree of AMS within the residual limb is associated with preserved motor control and perception.

Fosgaard et al. use a longitudinal data set of tobacco purchasing behavior from Denmark from 2019 to 2020 to estimate changes in tobacco use during the COVID-19 pandemic. During the pandemic there was a sustained decrease in tobacco purchases.

Kaneko et al. compare the proteome and phosphoproteome of primary HPV + oropharyngeal squamous cell cancers with tumours that recurred following chemotherapy/radiation. The authors identify signatures of fibrosis, matrix remodeling, and epithelial-mesenchymal transition and reprogrammed cytoskeletal signalling in recurrent tumours.

Clinical trials are required to ensure new treatments are safe and effective for patients. The involvement of participants in the planning and execution of clinical trials is critical not only to their success but also so that the participating communities can benefit from them.

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.

Szarfman et al. discuss the importance of efficient, easy access to large quantities of health data to improve medical care and further medical research. They outline the issues currently experienced accessing and exchanging data in the USA and provide recommendations for how to improve data access and exchange.

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.