| Name | Title | Contact Details |
|---|---|---|
Enrique Dilone |
Chief Technology Officer | Profile |
Generation Bio is innovating genetic medicines to provide durable, redosable treatments for people living with rare and prevalent diseases. The company`s non-viral platform incorporates a novel DNA construct called closed-ended DNA, or ceDNA; a unique cell-targeted lipid nanoparticle delivery system, or ctLNP; and a highly scalable capsid-free manufacturing process that uses its proprietary cell-free rapid enzymatic synthesis, or RES, to produce ceDNA. The platform is designed to enable multi-year durability from a single dose, to deliver large genetic payloads, including multiple genes, to specific tissues, and to allow titration and redosing to adjust or extend expression levels in each patient. RES has the potential to expand Generation Bio`s manufacturing scale to hundreds of millions of doses to support their mission to extend the reach of genetic medicine to more people, living with more diseases, around the world.
ONI is a pioneer of next generation super-resolution microscopy, making this advanced technology accessible to new generations of researchers. The Nanoimager, the world`s first benchtop sized super-resolution microscope, delivers a step change in usability and precision. The microscope offers easy access to a range of super-resolution techniques including dSTORM and PALM, as well as smFRET, single-particle tracking and confocal. The company`s achievements have been recognised by FastTrack100 who named ONI on their 2018 list of 10 Disruptors to Watch and ONI won Best Business Start-up at the 2018 IOP Awards. More and more life science researchers and pharma companies are taking an interest in ONI and it now has customers using its products in leading laboratories across the globe, including the Universities of Oxford, Cambridge and Harvard. ONI has a restless enthusiasm to make the world a better place. Our ambition is to bring super-resolution fluorescence imaging to a new community of researchers and we are removing barriers to make science more effective, accessible and affordable. We have a vision for making high tech science available to anyone, anywhere, from the research bench to your doctor`s office.
Singlera Genomics Inc., a fast growing company focusing on non-invasive genetic testing, was co-founded in July 2014 in San Diego, California by Professor Yuan Gao (Johns Hopkins University), Professor Kun Zhang (University of California at San Diego), Mr. Jiangli Zhang (CEO), Mr. Qiang Liu (COO), and Dr. Rui Liu (CTO). The company currently has an R&D center in La Jolla, California, and a business and clinical operation site in Shanghai, China. Singlera has proprietary technologies in single cell sequencing, DNA methylation and bioinformatics. In the past decade, Professor Gao, Professor Zhang and Dr. Liu have made outstanding achievements in their respective scientific research fields, and have published hundreds of research papers in top level scientific journals. These publications include 20+ papers in Cell, Nature, and Science. In recent years Professor Gao, Professor Zhang, and Dr. Liu have expanded their efforts to translational diagnostics, and have applied their expertise to develop genetic tests. Singlera is committed to the application of Next Generation Sequencing technologies, to diagnose genetic diseases and disorders. Singlera`s main products and services include tumor diagnosis and personalized treatment, non-invasive prenatal diagnosis, pre-implantation genetic screening, and customized scientific research services. Singlera is dedicated to the development of precision medicine, striving to help the patients through early, accurate and informative diagnoses.
The Scripps Translational Science Institute (STSI) at The Scripps Research Institute (TSRI) aims to replace the status-quo of one-size-fits-all-medicine with individualized health care that is based on the known genetic factors influencing health and disease and that takes advantage of advances in digital technology for real-time health monitoring.