Computational biology aims to advance healthcare by developing computational models of diseases, personalizing these models using data from patients, and applying these models to improve the diagnosis and treatment of diseases. These patient models are used to discover novel risk biomarkers, predict disease progression, design optimal treatments, and identify new drug targets for applications such as cancer, cardiovascular disease, and neurological disorders. The development and application of patient-specific, quantitative models can be used to understand, diagnose, and treat disease. Computational medicines can be used for molecular, physiological, and anatomical medicines. The integration of biomedical signal processing, computational modeling, machine learning, and health informatics can be done to develop new approaches in personalized medicine via electronic health records, physiological time series data, and genomics.
Market Dynamics
The increasing launch of new products, mergers, and acquisitions by key market players is expected to drive the global computational biology market growth. For instance, on July 25, 2022, Replay, a U.S.-based genome writing company, received US$ 55 million in seed financing. The round was led by KKR and OMX Ventures, with additional participation from ARTIS Ventures and Lansdowne Partners, SALT, DeciBio Ventures, and Axial. Replay’s genomic medicine toolkit encompasses a portfolio of disruptive platform technologies to write and deliver big DNA, including a high payload capacity HSV delivery platform, a hypoimmunogenic cell therapy platform, and a proprietary genome writing platform. The Replay, a U.S.-based genome writing company solves challenges in currently limiting clinical progress including increased payload capacity, off the shelf cell therapies that can reduce the cost of goods, improve production speed, volume and consistency, and expand the potential for genome engineering.
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