A freely available computer program that takes into account specific local conditions enables users to predict the impact of adopting different diagnostic strategies on the spread of tuberculosis in their region.

Mass spectrometry on plasma from patients with typhoid fever and other febrile disease identified and validated 24 metabolites that can distinguish typhoid from other febrile diseases, providing a new approach for typhoid diagnostics.

Application of machine learning to serum miRNA profiles generated through next generation sequencing identifies a biologically relevant miRNA signature which can be deployed as a qPCR test to assist the diagnosis of epithelial ovarian cancer.

Children with a parent of cancer have a higher rate of hospital contact for injury, especially immediately after the cancer diagnosis.

A model based on empirical parameter estimates predicts that arresting cancer cell growth by less than 1% per day will produce optimal outcomes in preventing life-threatening cancers, and that such preventive measures are generally more successful than post-diagnostic interventions.

The introduction of rapid diagnostic testing for Plasmodium falciparum infections can explain an increased emergence of diagnostic resistant pfhrp2-deleted parasites in sub-Saharan Africa.

Mutations in the DNA of ovarian cyst fluid can inform the need for surgery and indicate the type of neoplastic lesion present.

Ending the TB epidemic requires scaling up access to new TB tools so that they can benefit the patients in low- and middle-income countries that need them the most.