Epidemiological forecasts are beset by uncertainties about the underlying epidemiological processes, and the surveillance process through which data are acquired.We present a Bayesian inference methodology that quantifies these uncertainties, for Antifungal epidemics that are modelled by (possibly) non-stationary, continuous-time, Markov population
GEN-RWD Sandbox: bridging the gap between hospital data privacy and external research insights with distributed analytics
Abstract Background Artificial intelligence (AI) has become a pivotal tool in advancing contemporary personalised medicine, with the goal of tailoring treatments Antifungal to individual patient conditions.This has heightened the demand for access to diverse data from clinical practice and daily life for research, posing challenges due to the sensi
Postharvest management of fruits and vegetable: A potential for reducing poverty, hidden hunger and malnutrition in sub-Sahara Africa
Fruits and vegetable (FV) production is an emerging horticulture sub-sector in sub-Sahara Africa (SSA) despite the fact that, almost one-third of the produced FV is lost before reaching the plate.FV postharvest losses in SSA range from 30 to 80%, depending on a crop.Lack of postharvest management skills and Oven Halogen Lampholder technology such a
Moving beyond the GM debate.
Once again, there are calls to reopen the debate on genetically modified (GM) crops.I find these calls frustrating and unnecessarily decisive.In my opinion Domestic Vacuum Cleaner the GM debate, on both sides, continues to hamper the urgent need to address the diverse body surf board and pressing challenges of global food security and environmental