Big Pharma shares substance data to decrease animal testing
Four Big Pharma companies have shared previously unpublished hazard data for drug substances to enhance database-dependent computational tools and help reduce animal testing.
List view / Grid view
Four Big Pharma companies have shared previously unpublished hazard data for drug substances to enhance database-dependent computational tools and help reduce animal testing.
An artificial intelligence (AI)-based test was able to predict cancer patients’ response to drugs more accurately than is currently possible with genetic testing, finds proof-of-concept study.
Here, Frits Stulp and Duncan van Rijsbergen of Iperion explore how startups can establish the most efficient data management processes and systems, avoiding the kind of mistakes made by Big Pharma.
Following his first full year as Managing Director UK, Ireland & Nordics for Novartis Pharmaceuticals, healthcare leader Chinmay Bhatt shares his learnings from the pandemic and reflects on what’s next.
A new framework for how the pharmaceutical industry will use health data for research and development of cutting-edge new medicines has opened for consultation.
EMA will establish the DARWIN EU® Coordination Centre to develop and manage a network of real-world healthcare data sources across the EU.
The impending ‘Bio Revolution’, with the microbiome at its foundation, offers ground-breaking solutions and a wealth of opportunity in data science and bioinformatics, explains Anthony Finbow of Eagle Genomics.
Laboratory automation systems are gaining popularity as they expedite and streamline processes, improving product quality while reducing human error.
Here, EPR’s Hannah Balfour examines the trends that look set to shape clinical research in 2022, with comment from Aman Khera, VP and Global Head of Regulatory Strategy at Worldwide Clinical Trials.
Thermo Scientific™ SampleManager™ XR software enables scientists to work hands free to drive process integrity and compliance.
This article introduces a comprehensive fractionation method for both UV absorbing and non-UV absorbing compounds.
In a new survey, 35 percent of healthcare professionals believe that digital transformation would improve pre-clinical and clinical trials.
Two new guidance documents, the first in a series to published by the MHRA, outline considerations when planning a randomised clinical trial using real-world data.
Digitalised Eppendorf products support customers on their way to a paperless lab whilst in compliance with good laboratory practice (GLP).
The FDA has released new draft guidance: “Data Standards for Drug and Biological Product Submissions Containing Real-World Data.”