Discipline tool
Cancer Immunology Research publishes outstanding original articles reporting major advances in cancer immunology that span the discipline from basic investigations in host-tumor interactions to developmental therapeutics in model systems, early translational studies in patients, and late-stage clinical trials. The journal disseminates knowledge of immunology to the cancer research community, catalyzing cross-disciplinary work that yields a deeper understanding of the host-tumor relationship, more potent cancer treatments, and improved clinical outcomes.
The Cambridge Immunology Network is designed to showcase and enhance the University of Cambridge's position as a leading international centre for research and teaching in immunology
The Foundation for Liver Research UK was established in 1974 to develop and extend research into diseases of the human liver and to enhance medical research generally.
CLDF supports a wide range of projects, including clinical and laboratory-based research, lately moving into social research which looks at topics such as how to improve quality of life.
Over the last two years, representatives from the UK’s stroke research community have been working, in a collaboration led by the NC3Rs, to improve the welfare and increase the scientific value of rodent models of stroke.
Research published in Scientific Reports describes a new ultra lightweight system for recording neural activity in the brains of mice.
Matlab is one of the most widely used computer programming languages in research. For psychologists and neuroscientists it is a versatile and increasingly useful tool for controlling advanced experiments and analyzing complex datasets, no matter whether you are interested in programming sensory detection or discrimination stimuli, measuring behavioral reaction times, quantifying movement kinematics (e.g. eye tracking), analyzing electrophysiological time series (e.g. EMG, EEG), developing neural models, conducting statistical tests, or visualizing brain imaging data (e.g. fMRI, MEG), etc.