Scaling-up symptom-agnostic, community-wide screening towards global tuberculosis elimination: opportunities, challenges and lessons from history.

There has been little change in global TB incidence in the 21 century. Although case notification has increased, millions of people with TB each year remain unreached. Recently there has been increased recognition that many people with undiagnosed, potentially infectious TB do not experience or report TB symptoms.

AI-powered prostate cancer detection: a multi-centre, multi-scanner validation study.

Objectives: Multi-centre, multi-vendor validation of artificial intelligence (AI) software to detect clinically significant prostate cancer (PCa) using multiparametric magnetic resonance imaging (MRI) is lacking. We compared a new AI solution, validated on a separate dataset from different UK hospitals, to the original multidisciplinary team (MDT)-supported radiologist's interpretations.

Materials And Methods: A Conformité Européenne (CE)-marked deep-learning (DL) computer-aided detection (CAD) medical device (Pi) was trained to detect Gleason Grade Group (GG) ≥ 2 cancer using retrospective data from the PROSTATEx dataset and five UK hospitals (793 patients).

Co-creation of a gender responsive TB intervention in Nigeria: a researcher-led collaborative study.

Background: In Nigeria, men constitute over half of the people notified with tuberculosis (TB), experience longer delays before reaching care, and are estimated to account for two thirds of people who miss out on care. The higher TB risk and burden in men has implications for the whole population and reaching them earlier with TB services will reduce onward transmission in households, communities, and workplaces. The absence of a comprehensive guidance and the lack of substantial empirical evidence on TB care approaches that are responsive to the needs of men in Nigeria exacerbates this problem.

Finding the missed millions: innovations to bring tuberculosis diagnosis closer to key populations.

Current strategies to promptly, effectively, and equitably screen people with tuberculosis (TB) and link them to diagnosis and care are insufficient; new approaches are required to find the millions of people around the world with TB who are missed each year. Interventions also need to be designed considering how people interact with health care facilities and where appropriate should be suitable for use in the community. Here, the historical, new, and reemerging technologies that are being utilised for TB diagnosis globally are discussed, whilst highlighting that how we use and evaluate tests is just as important as the tests themselves.