Amid growing concerns about the poor design of animal experiments and its implications for the translatability of experimental results, Michael F. W. Festing thinks it's time we do something about it.
Introductory quantitative skills required to conduct experimental research and analyze resulting data. Principles of measurement, modeling of experimental data, and statistical design of experiments.
There is growing concern about the reliability of biomedical research results. Poor experimental design, inappropriate analysis methods and incomplete reporting have all contributed to inconsistent ...
Preclinical model systems are invaluable tools for drug discovery and development. But many complex diseases, such as nonalcoholic steatohepatitis (NASH), are difficult to recapitulate in the ...
Sound experimental design is of vital importance when conducting any scientific experiment. Choices made at the design stage have the potential to drastically impact the results of any study. A strong ...
Quantum designers: Florian Marquardt (left) and Leopoldo Sarra have shown how deep Bayesian experimental design can be applied to quantum many-body systems. (Courtesy: Leopoldo Sarra) As quantum ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results