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Seeking Biomedical Opportunities in the Wake of ChatGPT: Healthy Yuan Takes the Lead in AI Pharmaceutical R&D
Published Time：
2023-03-30
What impact and disruption will ChatGPT have on the biopharmaceutical industry? Could the next innovative drug be AI-invented?
Recently, following the global popularity of ChatGPT, various industries have begun to pay close attention to the power of technological transformation. The AI concept continues to empower various industries, and the pharmaceutical and medical fields are also being catalyzed by it. In fact, the application of AI in the pharmaceutical and medical fields has gradually transitioned from exploratory practice to commercial transformation. Many companies are already deploying in the AI pharmaceutical field. In the capital market, many institutions have pointed out that it is recommended to focus on the "AI + medical", "AI + pharmaceutical", and "AI +" opportunities. Hu'an Securities - Pharmaceutical and Biological Research Report pointed out that AI is a major annual theme, and it is recommended to participate throughout the year, especially companies with landing scenarios and revenue.
Currently, the biopharmaceutical industry is continuously exploring a new direction of transformation, which is how to apply AI intelligent technology to innovative drug research and development. Traditional new drug research and development is a complex system engineering project. It usually takes about ten years and billions of dollars to successfully launch a new drug. In recent years, with the continuous deepening of the combination of quantum chemical calculation and artificial intelligence technology with biopharmaceutical technology, it has greatly promoted the progress of basic biological research and the efficiency of drug research and development.
In 2021, the biopharmaceutical research institute under Health Yuan signed a strategic cooperation agreement with Tencent Quantum Laboratory. The two parties will jointly promote the application of quantum computing + artificial intelligence in microbial synthetic biology research and related drug research, and promote the development and progress of pharmaceutical research and development technology.
It is introduced that the application of artificial intelligence technology in the biopharmaceutical field covers almost all aspects of the entire industrial chain, from new drug research and development, drug production, to clinical trials. For the huge computational pressure faced by a large number of research and development links, the time and cost consumed by existing computing power are huge. Quantum computing has powerful parallel computing and simulation capabilities, which can solve important scientific problems that existing algorithms cannot solve, and provides a deeper understanding of biological processes based on quantum physics.
The integration of biopharmaceutical research and quantum computing + artificial intelligence technology will help drug researchers more accurately predict and understand the various physicochemical properties of compound molecules, as well as the key biological behaviors of compound molecules in the human body and cells.
Previously, when Health Yuan accepted institutional research, it stated that the company actively cooperated with Tencent Quantum Laboratory to conduct research on the prediction of genomic gene clusters and functional element sequences and metabolic pathway optimization using AI technology.
AI technology can effectively assist the research and development of synthetic biology. It can use cutting-edge technologies such as bioinformatics, machine learning, deep learning, biological big data analysis, protein computational simulation and structural prediction, and whole-genome customized creation to assist in the research of small molecules, macromolecules, and even microbial living cell drugs, such as the splicing of expression components and molecular structure simulation.
The cooperation between Health Yuan and Tencent Quantum Laboratory is a typical case of innovative exploration in the research and development of the biopharmaceutical industry. It can be foreseen that in the future, the pharmaceutical industry will give birth to a batch of new Biotech companies driven by AI intelligence and computing technology.
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