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  • Launch of IHI JU VICT3R Initiative to Revolutionize Nonclinical Drug and Chemical Safety Evaluation with Virtual Controls

    MedBioinformatics Announces Participation in IHI JU VICT3R Initiative to Revolutionize Nonclinical Drug and Chemical Safety Evaluation with Virtual Controls

    [Barcelona, Spain, September 16, 2024] — MedBioinformatics today announced its involvement in the VICT3R initiative, a groundbreaking initiative aimed at transforming nonclinical drug and chemical safety evaluation. VICT3R is a public-private partnership supported by the Innovative Health Initiative Joint Undertaking (IHI JU), set to significantly reduce the number of animals used in experimental studies. The […]

  • Genetics in Drug Discovery - Key to Clinical Trial Success?

    Genetics In Drug Discovery: The Key To Clinical Trial Success?

    By leveraging human genetics to identify drug targets with a proven link to disease mechanisms, the probability of clinical trial success greatly increases [1].  Only 10% of drugs that enter phase 1 clinical trials eventually make it to market [2], primarily due to issues related to efficacy or safety that arise later on. These frequent […]

  • DISGENET for Academics

    DISGENET Academic License: Eligibility, Application & Free Access

    DISGENET is the most extensive and reliable gene-disease association network, providing the latest and most relevant data in the field. It was created by MedBioinformatics, and as an academic or not-for-profit researcher, you can access DISGENET’s core biomedical data at no cost. For deeper insights, we offer additional options utilizing state-of-the-art NLP technology. In this […]

  • NLP for Drug Discovery - How DISGENET works

    How DISGENET Uses NLP To Accelerate Drug Development

    With DISGENET, you can easily unlock new insights and greatly accelerate your drug development journey. Every year, more than 1 million papers enter PubMed in the biomedical field [1]. While medical knowledge doubles every 73 days and is increasing at an exponential rate with no evidence of slowing [2], drug discovery and development remain a […]

  • DISGENET rebrand - new logos - MedBioinformatics

    DISGENET Rebrand: A Fresh Look, Same Reliable Data for Tomorrow

    DISGENET — our gene-disease association knowledge platform — was created in 2010 driven by our mission that a greater understanding of human genetics was vital to improve people’s health. With over 100,000 web users, we see you agree. Today, that need for reliable, high-quality genomics data hasn’t faltered, but the way we access data has […]

  • DISGENET: The Next Chapter For Disease Genomics Research

    From today, DisGeNET.org and DISGENET plus will become one unified platform found at disgenet.com. DisGeNET has become a cornerstone for bioinformatics research since starting in 2010. As a small team, we have dedicated 15 years to this valuable resource and we are committed to continuously improving the platform for you, our users. As you can imagine, […]

  • Anticipating Drug Toxicity: data-driven drug safety with DISGENET

    Key points What is flupirtine? Flupirtine, an aminopyridine introduced in 1984 as a non-opioid analgesic for acute and chronic pain, embarked on a tumultuous journey within the medical landscape. Initially approved for broad pain management, its trajectory shifted in 2013 due to concerns over liver toxicity. The European Medicines Agency (EMA) limited its use to […]

  • Genetics for drug and chemical risk assessment

    In recent years, there has been an increasing appreciation of the need to consider variability in human populations in evaluating health risks for new and existing chemicals. Recent policies such as The Frank R. Lautenberg Chemical Safety for the twenty-first Century Act (2016) require the US Environmental Protection Agency to evaluate new and existing toxic chemicals with explicit […]

  • Genetic support for FDA approvals in 2021

    Key points Human genetics and FDA drug approvals in 2021 There is compelling evidence of the value of incorporating genetic information in the drug development process. A drug target supported by genetic evidence has a 2-fold higher probability of successful clinical development compared to those targets with no genetic support [1]. A systematic analysis of FDA […]

  • Meet our team: Jordi Valls

    Jordi Valls is a Postdoctoral Researcher at MedBioinformatics and experienced in the field of genomic analysis. Dr Valls is currently working on RISKHUNT3R, a European H2020 Project. He is involved in characterising and identifying the adverse effects of chemical compounds on cohorts/target segments depending on their genetic information and variability, through the use of different […]