Introducing BMC Pharmacology and Toxicology’s Collection: Machine Learning for predictive Toxicology
We are pleased to announce the launch of Machine learning for predictive toxicology, a new collection at BMC Pharmacology and Toxicology.
We are pleased to announce the launch of Machine learning for predictive toxicology, a new collection at BMC Pharmacology and Toxicology.
How did birds evolve? Can historic blood spots help us understand human epidemiology? Is recycling organic materials a better alternative to green… Read more »
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World AIDS Day, observed annually on December 1st, is as a global initiative dedicated to raising awareness about HIV/AIDS. Since… Read more »
Whilst mouth cancer is not always widely discussed, there are concerning worldwide disparities which make it a significant global… Read more »
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Last June, BMC Medical Research Methodology has published an article by Robbe Saesen et al analyzing clinical trials labeled as… Read more »
How safe is hyperbaric oxygen therapy for individuals suffering from long COVID? How effective is a comprehensive lifestyle… Read more »
Soon after the outbreak of COVID-19, the world research community performed a large number of clinical trials about the new… Read more »
John Ioannidis’ 2005 article Why Most Published Research Findings Are False was an uncomfortable wake-up call for the scientific… Read more »