Artificial Intelligence is increasingly used in the pharmaceutical sector to reduce development cycles, improve manufacturing operations, and support compliance.
AI algorithms can examine large datasets, such as chemical libraries, clinical records, or patient histories, to identify connections that may guide drug discovery. For example, during the early stages of research, AI models may help scientists prioritize which compounds to test based on likely efficacy or safety profiles. In clinical trials, AI can assist with patient recruitment by identifying suitable candidates based on medical records and trial requirements.