Scientific racism was one of the most harmful misuses of knowledge in modern history. It used the language of #science, measurement, classification, and progress to support false ideas about human hierarchy. Although it presented itself as objective research, it was shaped by #bias, colonial power, social inequality, and political interests. This article studies scientific racism as a historical case of how knowledge can be misused when research is separated from #ethics, soc

Agriculture has always depended on observation. Farmers observe soil, rain, plant color, pests, crop growth, and seasonal patterns. These observations are valuable because they come from long experience. However, modern agriculture faces new pressures that are difficult to manage through traditional observation alone. Climate change, water stress, fertilizer costs, pest risks, food demand, and market uncertainty make farming more complex than before. In this context, #Artific

#DrugCLIP represents an important direction in #AI_powered_drug_discovery because it connects molecular information, biological target knowledge, and computational research methods in one scientific workflow. In simple terms, it helps researchers compare possible drug-like molecules with biological targets, such as protein binding pockets, in order to identify compounds that may deserve further laboratory testing. It does not replace chemistry, biology, pharmacology, or clini