5 June 2020: Biorelate, a UK-based AI start up, is offering all researchers free use of Galactic, its cloud-based web tool, to support biomedical research while lab access is restricted around the world.
Owkin is a French-American startup, backed by Google Ventures among others, that deploys Artificial Intelligence (AI) and Federated Learning for medical research. The company was co-founded in 2016 by Thomas Clozel, a hematologist oncologist and researcher, and Gilles Wainrib, a computer science teacher-researcher at the École Normale Supérieure, and a Stanford University PostDoc.
Over the years, the team at Owkin has developed AI systems to analyze and interpret multimodal medical data, including pathology images, radiology images, genetic data, lab analysis, and clinical outcomes. The company recently announced the launch of a new product -- Virtual Staining, integrated as a feature in Owkin Studio platform.
- Respiratory disease drug identified as potential COVID-19 therapeutics
- AI-driven drug repositioning allowed a rapid search for COVID-19 drug candidates
- Exploring partners for clinical development
In this post, we decided to highlight eleven entrepreneurial women, leading the way in applying advanced computational technologies, such as machine learning (ML), deep learning (DL), and other artificial intelligence (AI) components, for tackling some of the hardest challenges of science -- in drug discovery and healthcare. This list is composed in alphabetical order.
Personalized medicine has become a paradigm-shifting trend in healthcare - the hegemony of “one-size-fits-all” drugs is increasingly challenged by novel innovative modalities and therapies, laser-sharped for a specific group of patients, or even a single patient in some cases. This is a complex story, and the progress in personalized medicine will take time and tectonic shifts in the pharmaceutical research workflow.
On the other hand, the advent of personalized medicine is only possible with a more personalized system for health assessment, new robust biomarkers, and novel approaches to run and monitor clinical trials. This will require diagnostics that can provide sufficient insight into the metabolic status of individuals, and relatively new science of metabolomics is now taking off in the biotech industry.