Data falsification can have far-reaching consequences. For researchers, it can lead to retracted papers, loss of credibility, and even legal action. For the broader scientific community, it can mislead subsequent research efforts. Most importantly, for patients, it can result in ineffective or harmful treatments being pursued, delaying the development of genuine, effective therapies.
