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Elysium`s mission is to solve the biggest challenges in health with science, to help people live healthier, longer lives. Working directly with the world`s leading scientists and clinicians, Elysium translates advances in science and technology into effective, scientifically sound health products that work.
Relay has developed a proprietary software solution for stakeholders of the biopharmaceutical technology licensing and development process.
Vital Therapies, Inc. is a biotherapeutic company focused on developing a cell-based system for the treatment of acute liver failure. Our product candidate, the ELAD® System, is a human cell-based, bio-artificial liver support system that operates outside the body, or extracorporeally, and is designed with the proposed intent to allow the patient’s own liver to regenerate to a healthy state, or to stabilize the patient until liver transplant. The ELAD System incorporates our human liver-derived cells, or VTL C3A cells, contained in four hollow fiber cartridges, that are combined with single use customized disposable sets and an ancillary delivery system. Data from ELAD clinical studies has shown trends that may indicate a potential to increase survival rates in patients with acute liver failure. ELAD has received orphan designation in the United States and Europe for the treatment of acute liver failure. Prior to the initiation of our ongoing Phase III clinical trial program, over 145 subjects have received therapy with the ELAD System in seven clinical trials and through a compassionate use program, which we believe collectively suggests a promising therapeutic profile. In March 2013, we initiated VTI-208, a Phase III randomized, controlled clinical trial in 200 subjects with alcohol-induced liver decompensation. We reached the midpoint in enrollment of this trial in April 2014, and anticipate the release of preliminary data in the first half of 2015. In addition, we are conducting a second Phase III randomized, controlled clinical trial, VTI-210, in 150 subjects with severe acute alcoholic hepatitis, or AAH, which is a subset of AILD, and expect to initiate enrollment of subjects later in 2014. In the second quarter of 2014, we began enrollment of a Phase II clinical trial of the ELAD System in subjects with either fulminant hepatic failure, or FHF, or surgery-induced acute liver failure, or SILF. We anticipate the release of data from VTI-210 in 2016 and the Phase II component of VTI-212 in 2015 or 2016.
10x Genomics meets the critical need for long range, structural and cellular information, with an innovative system that transforms short-read sequencing technologies. Our Chromium™ System supports comprehensive genomics and high-throughput single cell transcriptomics. It enables researchers to discover previously inaccessible genomic information at unprecedented scale, including phased structural variants, phased single nucleotide variants, and dynamic gene expression of individual cells—while leveraging their existing sequencing systems and workflows.
insitro is a data-driven drug discovery and development company that leverages machine learning and high-throughput biology to transform the way medicines are created to help patients. At insitro, we are rethinking the entire drug discovery process, from the perspective of machine learning, human genetics, and high-throughput, quantitative biology. Over the past five decades, we have seen the development of new medicines becoming increasingly more difficult and expensive, leaving many patients with significant unmet need. We`re embarking on a new approach to drug development – one that leverages machine learning and unique in vitro strategies for modeling disease state and designing new therapeutic interventions. We aim to eliminate key bottlenecks in traditional drug discovery, so we can help more people sooner and at a much lower cost to the patient and the healthcare industry. We believe that by harnessing the power of technology to interrogate and measure human biology, we can have a major impact on many diseases. We invest heavily in cutting edge bioengineering technologies to enable the construction of large-scale, high-quality data sets that are designed specifically to drive machine learning methods. Our first application is to use human genetics, functional genomics, and machine learning to build a new generation of in vitro human cell-derived disease models whose response to perturbation is designed to be predictive of human clinical outcomes.