Machine learning

DDW Editor Reece Armstrong explores how AI is being utilised in the lab and what the technology can really do within pharma.  Artificial intelligence (AI), a branch of computer science encompassing machine learning and deep learning, and which technologies such as automation, natural language processing (NLP) and image recognition all fall into, offers significant opportunity […]

Throughout the continuum of drug development, from target discovery to patient selection, machine learning approaches are being adopted to reliably mine vast amounts of data and make predictions with higher accuracy Anita Ramanathan discusses how machine learning is currently used across different stages of cancer research.  Applying computational methods to address prevailing challenges in cancer […]

This 28-page DDW eBook, sponsored by Benchling, contains exclusive insight from industry experts on how technology is driving innovation.   Key topics include:   The benefits of AI in the lab   Precision medicine and AI   The next step in big data and AI   Making life science data work for the digital age  Leveraging AI and Machine Learning […]

Philip Gribbon is Head of Discovery Research at the Fraunhofer Institute for Translational Medicine and Pharmacology in Hamburg, Germany. Ahead of his participation in a Data Sharing panel at SLAS Europe 2022, Gribbon tells Megan Thomas about the importance and lasting impact of good quality data. Health and data science The Fraunhofer Society is the […]

TetraScience resolves root cause scientific data problems with a cloud-native platform, purpose-built to benefit scientists and data scientists, who use Tetra Data for automation and ML/AI. This paid-for advertorial by TetraScience appeared in the DDW / SLAS supplement in DDW Volume 23, Issue 1 – Winter 2021/22  Technology drives the value of scientific inquiry and outcomes. There continues to be brilliant […]

GlaxoSmithKline (GSK) and the University of Oxford have announced a five-year collaboration to establish the Oxford-GSK Institute of Molecular and Computational Medicine, which will be based at the University of Oxford and improve the success and speed of research and development of new medicines, building on insights from human genetics and using advanced technologies such […]

Listen to this article on the DDW Podcast:   The workload in pharmacovigilance (PV) is soaring and as new vaccines and medications enter the market, it’s crucial to track adverse events (AE). As AE reports still have to be filed within 24 hours, Kathleen O’Brien of Amplexor Life Sciences lays out a blueprint for centralising global AE reporting.  AE notifications come in […]

Listen to this article on the DDW Podcast:   Panna Sharma is the President and CEO of Lantern Pharma, a clinical-stage oncology biotech using AI and genomics to innovate the rescue, revitalisation, and development of precision cancer therapeutics. Lu Rahman spoke to the man behind this biotech to find out why he believes AI is about to […]

The life sciences data landscape is growing in complexity and scale, with organisations generating increasingly high volumes of data. Yet, these data are still stored and searched using outdated methods. As a result, there are vast amounts of unstructured data stored in various siloed locations. Vladimir Makarov, Consultant at Pistoia Alliance, discusses this challenge and […]

BioIVT has added advanced tissue, biofluid and cell search and e-commerce capabilities to its website, which is enabling customers to mine its biospecimen repository and related clinical database using artificial intelligence (AI) and machine learning (ML) applications to advance scientific knowledge of different diseases.   According to BioIVT, more than 140,000 blocks from its ASTERAND Human Tissue Biorepository […]