Machine learning techniques for personalized breast cancer risk prediction: comparison with the BCRAT and BOADICEA models (Publications)
BACKGROUND: Comprehensive breast cancer risk prediction models enable identifying and targeting women at high-risk, while reducing interventions in those at low-risk. Breast cancer risk prediction mod
Performance and impact of GeneXpert MTB/RIF® and Loopamp MTBC Detection Kit® assays on tuberculosis case detection in Madagascar (Publications)
BACKGROUND: Tuberculosis rapid molecular assays, including GeneXpert MTB/RIF(R) and Loopamp MTBC Detection Kit(R), are highly sensitive and specific. Such performance does not automatically translate
Whole genome sequencing of<em> Mycobacterium tuberculosis</em>: current standards and open issues (Publications)
Whole genome sequencing (WGS) of Mycobacterium tuberculosis has rapidly progressed from a research tool to a clinical application for the diagnosis and management of tuberculosis and in public health
A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and... (Publications)
Empirical spatial air pollution models have been applied extensively to assess exposure in epidemiological studies with increasingly sophisticated and complex statistical algorithms beyond ordinary li
Health risks for sanitation service workers along a container-based urine collection system and resource recovery value chain (Publications)
Container-based sanitation (CBS) within a comprehensive service system value chain offers a low-cost sanitation option with potential for revenue generation but may increase microbial health risks to
Marginal bone loss one year after implantation: a systematic review of different loading protocols (Publications)
The aim of this study was to analyse the influence of different loading protocols on marginal bone loss (MBL). The outcomes of different implant loading protocols were assessed at 1year after implanta