Artificial intelligence (AI) is highly dependent on high-quality, well-marked big data. In a field of new drug innovations driven by biological hypothesis, inefficiency, and trial and error, there is no doubt that this will significantly improve some stages of the new drug development process. s efficiency. However, no matter whether the IT entrepreneurial elite from the ancient heroes is surging, or the medical veterans with decades of research and development experience sit on the tide, there is a lack of comprehensive rational understanding of artificial intelligence + new drug research and development.
In view of this, I would like to share with you our views and attitudes on artificial intelligence + new drug research and development, from two aspects, to understand the disease-image diagnosis and the discovery of new biological mechanisms/new targets, and design drug-activity Predict and the production and synthesis of compound libraries, and explore the reality and virtuality of artificial intelligence in the development of new drugs.
First, the rise of artificial intelligence
Heaven and earth, the human being, as a creature with NI (Natural Intelligence), was born in the universe. From erect walking, slash-and-burn, steam motors, to the moon, to the ubiquitous Internet, humans have realized self-recognition in the exploration of the universe. From Aristotle's metaphysics, to Newton's three laws of motion, to Einstein's theory of relativity, all of this shines in the Milky Way.
In this picture, the dark blue defeated the human chess player, someone was happy, some people were shocked, and some people were depressed. The picture is from thewire. In
The human being, as the genius of all things, is no longer satisfied with eating apples to gain wisdom, but is looking to create a new intelligent life in the lonely universe - artificial intelligence (ArTIficial Intelligence). Time flies, in 1997, only 30 years after Deep Blue defeated chess master Kasparov, artificial intelligence swept the most complicated board game of humanity - Go. In less than a year, the title of artificial intelligence has changed from the unknown AlphaGo to the Master who has never been known. It has evolved to "do not care for human beings, and to fight each other and learn from each other." AlphaGo Zero.
Artificial intelligence quickly became popular. Asimov’s robot’s “three laws†seemed to be close at hand. Not only was the circle of friends filled with exaggerated reports and hype to promote artificial intelligence, such as rumors that the human bowl was about to be taken away, even if it was rigorous and realistic. The academic circle and industry are also full of enthusiasm. People often say that "My friend Hu Shizhi's artificial intelligence", public opinion will always be staring at the pursuit of tomorrow's investment community, there is a big "healthy red purple arrangement, only to be new The first sound of the thunder.
Fifty years later, Dartmouth conference parties reunited, the picture was taken in 2006, the picture is from Wikipedia
In fact, strictly speaking, artificial intelligence is not a "new mine". It started at the Dartmouth conference in 1956 and has a history of more than 60 years, covering many disciplines and technologies, including robotics, speech recognition, natural language recognition and Processing, image recognition and processing, machine learning, and more. Although there have been ebb and flow before, there are no big winds and waves. In recent years, thanks to the rapid growth of computing power, the introduction of deep learning methods and the rise of big data, this “three-axe†has helped, artificial intelligence has emerged in many industries, and the biomedical industry where the author is located is artificial intelligence. One of the important towns.
In 2016, when AlphaGo appeared, let us look at the artificial intelligence, the picture comes from deepmind
In the face of the current artificial intelligence companies on this market, we always ask the ultimate question that all emerging technologies need to face: Which stage of artificial intelligence is the artificial intelligence curve (Hype Cycle)? Can artificial intelligence be positively available to other technologies currently available in PK? To what extent artificial intelligence can be achieved in the foreseeable future?
The journey of artificial intelligence can be stars and the sea, but the supply of the front can not be a cake. The vision of embarrassment is not our interest. After all, can DeepMind really "Solve intelligence. Use it to make the world a better place", than Deep Thought tells us that the ultimate answer to the universe is 42 - the sci-fi Bible "Galaxy Roaming Guide" 》—It’s much more practical.
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