Recently, during the recent 2024 World** Summit, Nvidia CEO Jensen Huang was asked by the UAE's Minister of Artificial Intelligence "what exactly should people learn if they are at the forefront of technology".The days when everyone had to learn how to use computers are over, and human biology is the future. The answer sparked heated discussions. With the emergence of new technologies and the continuous improvement of algorithms, the integration of artificial intelligence and data has made some remarkable progress in the field of life sciences, and its application in medicine, genetic research, drug research and development, disease prevention and other fields is becoming more and more extensive. This article will focus on the development of AI technology and its application in the life sciences.
Huang argues that while computers have made tremendous progress over the past few decades, they still have limitations in mimicking the intelligence and complexity of the human brain. In contrast, human biological systems are highly complex and adaptable through neuronal networks, allowing humans to handle a variety of complex people and situations. Therefore, he believes that mastering the essence of human biology will be the key to the future development of science and technology, rather than simply relying on computers.
If I could do it all over again, I would realize that human biology is one of the most complex areas of science. However, advances in the life sciences have been sporadic, so human biology is the future. ”
According to the MedAlpha database, since 2023 (as of 2023-11-23), Nvidia has invested in 9 AI pharmaceutical companies.
In addition to Huang, leaders in different fields have also emphasized the centrality of life sciences in the future.
Francis Collins
As a former director of the National Institutes of Health (NIH), Collins has been instrumental in advancing personalized medicine and genomic research. He emphasized that by understanding the human genome, we can prevent, diagnose and improve diseases more precisely.
Bill Gates
While Gates is a technology innovator and entrepreneur, he highlights the importance of the life sciences through Bill & Melinda Gates' work on global health and development. He spoke about the potential of biotechnology to solve global health challenges, particularly in vaccine development and disease prevention.
Elon Musk
While Musk is better known for his work in the automotive and space exploration fields, he has also shown interest in the far-reaching prospects of the life sciences through the efforts of his company, Neuralink, particularly in brain-computer computing.
Together, they point to the crux of many key issues, including health, disease, longevity, and human well-being.
The concept of artificial intelligence can be traced back to 1956, when mathematician John McCarthy proposed the concept of "artificial intelligence" at the Dartmouth conference. Since then, the development of artificial intelligence has experienced several peaks and valleys. In the 80s of the 20th century, the emergence of expert systems made artificial intelligence technology widely used. However, due to the insufficient amount of data and the limitations of algorithms, artificial intelligence did not develop much in the following decades.
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With the continuous development of computer technology and the popularization of the Internet, the quantity and quality of data have also been significantly improved, which has made artificial intelligence technology better applied. In this process, many important people and events have played a key role in the development of AI technology.
In 2012, Google's neural network deep learning technology achieved great success in the field of image recognition. In the same year, IBM's artificial intelligence "Watson" defeated two former champions in the famous American quiz show "Edge of Danger". These two events have brought new impetus to the development of artificial intelligence technology.
In 2016, Alpha Go defeated the world's top player, Lee Sedol, once again proving the huge potential of artificial intelligence technology. In the same year, AI technology also made great progress in the field of natural language processing, such as Microsoft's Xiaoice chatbot and Google's Google Translate.
Modern AI technology helps life science research, clinical diagnosis and treatment, gene medicine, and biologics target discovery. Life sciences is a large and complex field that encompasses biology, genomics, medicine, drug discovery and other aspects. With the increase in the amount of data and the development of algorithms, artificial intelligence technology has been widely used in the field of life sciences, and has had a profound impact on life science research, clinical diagnosis and treatment, gene drugs, and biodrug target discovery.
Genomics is the study of the structure and function of organism's genomes. Genomic data is huge and complex to analyze. AI technology can help scientists process genomic data quickly and accurately, discover interactions between genes, find genes associated with human diseases, and study their mechanisms of action.
Artificial intelligence technology can automatically analyze medical images, signals and other data to assist doctors in making diagnoses. For example, the use of artificial intelligence technology can quickly and accurately diagnose cancer, cardiovascular diseases, etc. In addition, artificial intelligence technology can also improve the efficiency and accuracy of clinical practice according to the patient's condition and protocol, the patient's disease progression and effect.
AI technology can help scientists find genes associated with human diseases in massive amounts of genomic data, study their mechanisms of action, and design drugs that target these genes. For example, AI technology can assist scientists in designing more selective and highly effective anti-cancer drugs and quickly advancing these drugs to clinical applications.
Biopharmaceuticals are drugs produced using biotechnology that are highly effective and selective. However, the R&D process of biologics is very cumbersome and complex, and one of the important steps is the discovery of targets for biologics. Artificial intelligence technology can help scientists find proteins and molecules related to targets in massive biological data, accelerating the research and development process of biological drugs.
*Generated by AI.
With the continuous development of technology, the application of artificial intelligence has unlimited prospects, and perhaps in the future, artificial intelligence can also help doctors formulate personalized plans more accurately, or play a greater role in the field of gene editing and synthetic biology. Overall, the rapid development of AI technology has brought new opportunities and challenges to the life sciences sector. People need to go deep into the application scenarios and limitations of artificial intelligence technology, actively promote the research and application of technology, and make greater contributions to the development of human health.
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