Chemistry, Manufacturing and Controls (CMC) is a critical aspect of the new drug development and is an essential part of the regulatory approval process for eventual commercialization of new pharmaceuticals.
Know MoreHistorically, the estimated cost of new drug development has spiraled. According to the Tufts Center for the Study of Drug Development (CSDD), the average cost of developing a new drug was approximately $231 million in 1990.
According to the Tufts CSDD most recent study published in 2020, the average cost of developing a new drug from discovery to approval has gone up to approximately $2.6 billion. In addition, it takes an average of 10.5 years to bring a new drug to the market.
The cost of CMC can vary depending on the complexity of the drug substance, drug product, manufacturing processes and the requirements of regulatory agencies. However, estimates suggest that CMC can account for up to 20-30 % of the total cost of drug development.
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Designed to focus on searching through publicly available Prescribing Information of commercially approved products for CMC-specific information. It provides an efficient tool for CMC scientists to navigate the CMC landscape.
Designed to focus on searching through internal development reports using a large language model and machine learning tools to extract relevant information for insertions into INDs and NDAs templates. After reviewing these populated templates, the finalized CMC sections can be part of the entire regulatory submissions.
Designed to provide Expiry Dating Management using a proprietary retest/expiry dating management algorithm which tracks and updates the dating based on stable results. The platform consists of algorithms that incorporate a stability protocol framework and regression analysis to predict/manage the retest/expiry dating.
We empower small and large Pharma and Biotech companies with AI solutions that seamlessly integrate into a spectrum of CMC processes, driving efficiency across the board.
CMC-AI is uniquely positioned to support emerging companies with an innovative, efficient, cost effective and comprehensive platform to manage various CMC processes.
CMC-AI is proud to highlight its collaborative culture to optimize solutions to achieve efficiency with innovative AI tools to move development with speed and efficiency for large companies.
CMC scientists are constantly juggling their time between science and operation. An AI based platform developed by CMC-AI ties multi-faceted CMC processes efficiently together that significantly ease burden on CMC scientists.
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