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Ring`s research team has uncovered the world`s largest collection of commensal anelloviruses and are harnessing these natural viruses to target a wide array of diseases with significant unmet need. The unique biology of anelloviruses provides a foundation for a revolutionary new platform and a new class of programmable medicines.
MaxCyte is a US-based global company dedicated to accelerating the discovery, development, manufacturing and commercialization of next-generation, cell-based medicines.
Amino acid biology is fundamental to life, regulating biological pathways critical to health. A variety of conditions occur when amino acid pathways become dysregulated.
Minaris Regenerative Medicine is a global Contract Development and Manufacturing Organization (CDMO) with over 25 years of experience in cell and gene therapies. The company operates advanced facilities across North America, Europe, and Asia, providing comprehensive solutions for advanced therapy medicinal products (ATMPs). Minaris specializes in clinical and commercial manufacturing, process development, and technology transfer, ensuring compliance with regulatory standards in the U.S., EU, and Japan. The company offers a range of services, including GMP manufacturing for cell therapies, technology transfer, and clinical development support for Phase I-III trials. Minaris has successfully completed over 100 technology transfers and has recently commercialized LYFGENIA, a gene therapy for sickle cell disease. With a focus on collaboration, Minaris serves over 180 biotech and pharmaceutical clients, providing tailored solutions for their specific needs in regenerative medicine. Its facilities include expanded cleanroom capacity and analytical labs to support large-scale production.
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.