Laura I. Furlong | Co-Founder & Scientific Director
MedBioinformatics
Laura I. Furlong is Co-founder and Scientific Director of MedBioinformatics. She holds a PhD in Biology from the University of Buenos Aires and an MSc in Bioinformatics from Pompeu Fabra University. With more than 18 years of experience in translational bioinformatics, one of her main interests is to translate cutting-edge bioinformatics research into real-world clinical applications. Her current interests are in disease genomics, Natural Language Processing, precision medicine and knowledge management. She has mentored 5 doctoral theses, published over 85 peer-reviewed articles, and has been included in the list of the top 2% most cited scientists worldwide in bioinformatics. Her research also led to the development of different databases and scientific software, such as the DISGENET platform. She has participated in several European initiatives in the in silico toxicology and translational bioinformatics field.
Appearances:
Day 1 - Wednesday 23 October @ 14:55
Showcase 5: Overcoming Data Silos: The Solution to Actionable Genomic Insights
Despite the rapid growth of genomic data, most of it remains trapped in unstructured text, limiting its usefulness for drug discovery and precision medicine. Although genomic data is increasingly available through databases, they are often isolated and not linked to one another.
We pioneered an approach to extract genotype-phenotype information from databases and combine it with high-quality data extracted from the scientific literature using our state-of-the-art Natural Language Processing tool.
This information is integrated into our solution DISGENET, a single resource containing all the information on genes and genomic variants associated with every human disease.
The data is enriched with metrics and annotations to empower users in identifying actionable insights.
Learn how DISGENET expedites drug R&D and addresses key bottlenecks in clinical genomics. DISGENET empowers researchers and industry professionals to leverage genomic and biomedical data, making it an indispensable tool for advancing drug research and precision medicine.
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