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Aspect Biosystems is a privately held biotechnology company pioneering microfluidic 3D bioprinting of living, human tissue. The company`s proprietary technology is enabling advances in understanding fundamental biology, disease research, development of novel therapeutics, and regenerative medicine.
Nohla Therapeutics is a cellular therapy company driven to provide leading off the shelf therapies for patients with critical diseases. Nohla’s first product is a universal donor cell therapy targeting hematopoietic recovery and chemotherapy induced neutropenia, and is being extended to treat a range of other medical indications. This and other products in the pipeline are based on a unique umbilical cord blood expansion platform developed at the Fred Hutchinson Cancer Research Center
Tioma is an immuno-oncology company developing anti-CD47 antibodies for the treatment of solid and hematologic cancers. Our functionally diverse antibodies represent a new class of checkpoint inhibitors that harness both the adaptive and innate immune responses.
Minute Molecular Diagnostics was founded in 2017 as a spinout of the Northwestern University Center for Innovation in Global Health Technology (CIGHT). Comprised of a strong management team with extensive diagnostic industry experience, the company has raised $8 million in funding from the NIH and Diagnostic Industry Executives.
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.