I Can See the Drug Failing

Ten years later, an anti-cancer drug designed by AI caused a serious accident. As the project leader, Chen Mo lost his career, reputation, and the most important person. When he woke up again, he returned to the year when AI pharmaceuticals just emerged. He didn't bring back future drug formulas, and he couldn't memorize the complex molecular structures. The only thing he has is the memory of hundreds of failed projects in the next ten years: which targets were ultimately proven ineffective, which star drugs failed in clinical practice, and which experimental data were abandoned by capital and were once only one step away from success. While all companies were competing for successful papers, high-quality samples, and popular targets, Chen Mo began to acquire failed data that no one cared about. From an antibody project that was about to be terminated to a biotechnology company on the verge of bankruptcy; from sorting out the first negative result data set to building an AI system that could truly predict drug failure, he gradually discovered that the accident in the future was not an accident. But this time, he wanted to do more than just develop a new drug. He wants to redefine how drugs should be created.