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Mathematics and computing is the study and analysis of abstract concepts, such as numbers and patterns. Mathematics is the language of choice for scientifically describing and modelling the universe and everything that happens within it. Computing enables these mathematical problems to be solved in an efficient and automated way.
Efforts to develop an electronic newspaper providing information at the touch of a button took a step forward 50 years ago, and airborne bacteria in the London Underground come under scrutiny, in the weekly dip into Nature’s archive.
Stimulation therapy for neuropsychiatric disorders is hindered by the complexity and inter-individual and intra-individual variability in symptom manifestations, neural representations and response to therapy. Brain–computer interfaces could model the brain response to stimulation and decode the symptom state of a patient from brain activity as feedback to personalize the stimulation therapy in closed loop.
Most research efforts in machine learning focus on performance and are detached from an explanation of the behaviour of the model. We call for going back to basics of machine learning methods, with more focus on the development of a basic understanding grounded in statistical theory.
As quantum technology advances, it holds immense potential to accelerate oncology discovery through enhanced molecular modeling, genomic analysis, medical imaging, and quantum sensing.