This comprehensive review analyzes cutting-edge tools and technologies in modern pharmaceutical research, focusing on artificial intelligence, multi-omics technologies, and experimental methods. The study highlights how computational methods enhance drug discovery efficiency, while omics technologies provide systematic frameworks for investigating drug mechanisms. The integration of these advanced approaches has enabled more diverse and personalized treatment strategies, though challenges remain in drug development complexity, cost-effectiveness, and operational feasibility.

Severe self-injurious behavior in children with autism spectrum disorder (ASD) poses a significant risk of permanent physical injury. Not all children respond to behavioral therapies. Findings from a pilot trial in Biological Psychiatry, published by Elsevier, show that deep brain stimulation (DBS) of the nucleus accumbens (NAc), the reward-related region of the brain, in children with severe self-injurious behavior and ASD is relatively safe and feasible and may have notable benefits.

On October 21, 2024, the research team led by Professor Lv Han from Capital Medical University Affiliated Beijing Friendship Hospital, in collaboration with the team led by Professor Jiang Jiehui from Shanghai University, conducted a population-based cohort study to investigate the long-term effects of unhealthy lifestyles, metabolic abnormalities, and other risk factors on brain aging. The results demonstrated that these risk factors significantly accelerate brain aging, and the researchers proposed key strategies to promote brain health. The study was published in the Research under the title "Discovery of High-Risk Clinical Factors That Accelerate Brain Aging in Adults: A Population-Based Machine Learning Study" (Research 2024; 7: Article 0500. DOI: 10.34133/research.0500).