Emerging trends and hotspots of Nuclear factor erythroid 2-related factor 2 in nervous system diseases.

Background: The Nuclear factor erythroid 2-related factor 2 (NRF2) transcription factor has attracted much attention in the context of neurological diseases. However, none of the studies have systematically clarified this field's research hotspots and evolution rules.

Aim: To investigate the research hotspots, evolution patterns, and future research trends in this field in recent years.

Characterizing the critical features when personalizing antihypertensive drugs using spectrum analysis and machine learning methods.

Globally, methods of controlling blood pressure in hypertension patients remain inefficient. The difficulty of prescribing appropriate drugs specific to a patient's clinical features serves as one of the most important factors. Characterizing the critical drug-related features, just like that of the antibacterial spectrum (where each item is sensitive to the targeted drug's effectiveness or a specified indication), may help a doctor easily prescribe appropriate drugs by matching a patient's attributes with drug-related features, and effectiveness of the selected drugs would also be ascertained.