Artificial intelligence creates a mixture of cheap medicine that can eliminate cancer cells

Researchers at Cambridge University, in collaboration with the Chatgpt-4 Advanced Artificial Intelligence Model, have achieved unconventional medicine compositions that can be effective in eliminating cancer cells, using cheap and safe medicine usually used to treat high cholesterol or alcohol addiction. In an unprecedented experience, artificial intelligence has succeeded in representing a mixture of medicine showing the effectiveness of some traditional breast cancer treatments, which opens the door for a new pattern of man and the machine in the development of cancer treatments, by a re -employees of medicine. ‘The researchers said that this result does not coincide with chance, but rather by using a large chatgpt-4 category trained to analyze large amounts of scientific literature, in search of hidden patterns that indicate revealed therapeutic abilities. The researchers pointed out that the fundamental idea behind this work was in principle simple, but deep in its potential impact. Can a linguistic model such as Chatgpt-4 contribute to the discovery of new medicines to treat cancer, by reading millions of pages of medical research and understanding what is difficult for any people to be complete? The Cambridge team answered this question through a unique experience that combined artificial intelligence and experimental scientific research. In the first phase of the experiment, scientists asked Chatgpt-4 to represent new pharmaceutical groups that can be effective in targeting a specific range of breast cancer cells, a line that is widely used in medical research. To target artificial intelligence, but the instructions were very accurate, as scientists asked to avoid medicine used in the treatment of cancer, and only focus on medication that can kill cancer cells without harming healthy cells, preference to the pre -selected medicine by regulatory authorities, and to bring the price to stake. The model responded to these guidelines and suggested 12 medicines, and after testing these installations in the laboratory, three of them were found to be more effective than standard medication currently used in the treatment of breast cancer. It did not stop there, but the results of these tests were used to feed the model again, in the so -called the closed loop system, a system in which artificial intelligence learned from the results of the experiment, and proposed new options based on this data. Chatgpt-4 proposed four additional combinations, three of which also showed promising results. This repeated approach, where artificial intelligence is cherished by ideas, then the trial is, then the results are returned to the model to suggest more, an unprecedented penetration in the relationship between people and the machine in scientific research. As set out in the article published in the Journal of the Royal Society, a great linguistic model is used for the first time in this interactive cooperative way in the field of cancer research. One of the interesting aspects is that what is usually an ‘error’ in performing artificial intelligence models, known as ‘hallucinations’, is changed to an advantage in this context. Chatgpt-4, like other language models, is sometimes known for the production of inaccurate or even manufactured information. But in the field of scientific research, especially in the field of medicine exploration, ‘hallucinations’ that represent unknown ties can lead to ideas worthy of experimenting. New methods of scientific research, the lead author of the study, said Ross King, a researcher at the Department of Chemical Engineering and Biological Technologies at the University of Cambridge, said that this kind of artificial intelligence provides a wide imaginary layer of scientific exploration, and that people in human scientists may not have been there with them. Artificial intelligence was not limited to the submission of random proposals, but rather relied on a profound analysis of existing scientific literature and linked well -known biological information with similarity or non -visible patterns of human eye. The researchers pointed out that this ability to move between the large amount of knowledge and the conclusion of indirect relationships that approach the model closer to a ‘virtual world’ that is not tired examines the depths of knowledge in the rate of human superiority. Among the pharmaceutical formulas that emerged in laboratory experiments were a symastatin mixture, a drug usually used to lower cholesterol and desulphure, a drug used to treat alcohol addiction, one of the most important options that showed effectiveness against breast cancer cells. The researchers pointed out that in this proposal “the fundamental idea lies in the research”, which is the operation of already existing medicines in completely new uses, an idea scientifically known as the redirection of medicine, which is a rapid and relatively low -cost approach than developing completely new medicine. Although these results are promising, scientists emphasize that the road is still long, before these formulations are used to treat patients. Each medicine or medicine composition shows effectiveness in the laboratory, which must later go through various phases of complex clinical trials to ensure their safety and efficacy in human bodies. While study writer Hector Zenil, a researcher at Kings in London, described the role of Chargpt-4 as a partner who does not know fatigue that can explore a great satisfactory space of scientific possibilities, and suggested ideas that would have long taken through human effort. “What we do is not a replacement of scientists, but rather a establishment of a new pattern of cooperation.” Concepts, this study is proof that artificial intelligence is no longer just an instrument or metaphor for the human mind, but it can play a real role in the scientific research system, provided it is under conscious oversight of man. In this case, artificial intelligence did not work in a vacuum, but was rather part of a recurring link of analysis, experimentation, feedback and modification, which led to continuous improvement of suggestions. King talked about the fact that the artificial intelligence is subject to supervision to represent hypotheses that exceed specializations, merge the previous results and work through various repetitions. “It represents new boundaries for scientific research, as the term previously regarded as a metaphorical metaphor (the automatic world) has now become a reality supported by evidence.”