Malaria pre-exposed volunteers exhibit large breadth of humoral immune responses, with strong variation between individuals, which might compromise vaccine-induced humoral immune response due to natural imprinting.
Development of a fully automated pain scale using machine learning tools in computational neuroethology and creation of new software, reveals a robust circuit-dissection compatible platform for objective pain measurement.
In an investigation into the effects of drugs on proteins, an active machine learning algorithm chose which sets of experiments to perform and was able to learn an accurate model of the effects after doing only a fraction of the experiments.
The structure of the promising malaria blood-stage vaccine candidate antigen PfCyRPA and the characterization of a protective epitope are facilitating research on its essential role in parasite invasion, and will guide future epitope-focused vaccine design.
Molecular biosignatures that identify an inflammatory and potentially adverse reaction to vaccination have been defined in mice, a critical gatekeeper for progression of novel vaccine candidates into humans.