Mark Newton, a consultant from Heartland QA, gives his take on the scale of research misconduct taking place in laboratories
Dr Alexander Jarasch and Professor Martin Hrabe de Angelis explain that novel research methods produce tremendous amounts of data that cannot be analysed with classic analysis tools – so scientists need to look for new approaches, such as graph technology
Darren Barrington-Light, senior manager product marketing for Thermo Fisher Scientific, explains the importance of integrating a LIMS software package into the pharmaceutical data chain
Robert Roe talks to laboratory software providers about their plans for the future of the laboratory
Robert Roe speaks with laboratory informatics software providers about the future of their software and the introduction of new technologies, such as AI and deep learning
Robert Roe looks at regulatory and technological changes that are changing the way drug development is carried out
Elsevier and ExactCure recently announced a collaboration to develop and offer to hospitals – without charge – drug-specific exposure models for 20 already approved medicines that are being tested as potential treatments for Covid-19.
With the world’s focus on the COVID-19 pandemic, LIMS providers are working to develop solutions tailored to assist in the testing and management of virus samples.
Researchers at Harvard Medical School (HMS) have released an open source drug discovery platform, VirtualFlow, that harnesses supercomputing power to screen potentially billions of small organic compound structures in parallel, in the hunt for promising new drug molecules.
When designing a component or system, where do you start? In days gone by, designers would literally go back to the drawing board, using their experience and expertise to develop a new concept.
Effective utilisation of computing tools is critical to both AI and HPC research, with recent projects in both fields highlighting the scientific benefit of carefully managing resources.
Advances in computer vision combined with AI computing are helping pathologists to more accurately identify subtypes of cancer - leading to better treatments for patients, explains Dan Ruderman.
