 The gap between basic science and clinical research is growing wider, leading to a crisis in the translation of scientific discoveries into treatments and diagnostics. This includes a lack of reproducibility and translatability of preclinical findings to human applications, as well as high attrition rates of drug development. To address these issues, we must consider several factors such as poor hypothesis, irreproducible data, ambiguous preclinical models, statistical errors, organizational structures, lack of incentives in the academic setting, governmental funding mechanisms, the clinical relevance of basic research, insufficient transparency, and lack of data sharing in research. We can also look at new strategies such as open innovation models, entrepreneurship, transparency, and decision making to better adapt to the changing landscape of innovation. This article was authored by Attila A. Sehan.