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 »
In a follow-up to her recent blog post, Jenny Corser discusses the SOCKSESS study of smart sensing socks for monitoring diabetic… Read more »
For Rare Disease Day 2024, Adam Galloway discusses the NON-STOP trial, registered at the ISRCTN registry, which evaluates the… Read more »
In this blog, Dave Taylor and Jackie Martin-Kerry discuss the CHARMER (CompreHensive geriAtRician led MEdication Review) trial,… Read more »
For World Cancer Day, Maxine Tran and Matt Williams discuss the PEAR-TREE study, which is registered at the ISRCTN registry.
In a blog for Dry January, Dr Eleni Mantzari and Professor Theresa Marteau discuss a series of studies registered at the ISRCTN… Read more »
Can telehealth help to reliably diagnose autism spectrum disorder in children? How does climate change impact the habitat and… Read more »
World AIDS Day, observed annually on December 1st, is as a global initiative dedicated to raising awareness about HIV/AIDS. Since… Read more »
On the International Day of Persons with Disabilities, Jill Bradshaw and the Interact Trial Team describe the INTERACT trial,… Read more »