Excellent lead compounds have a profound influence on drug development and can improve the success rate of product launch. It is expensive and time-consuming to discover lead compounds by traditional methods, yet artificial intelligence (AI) can discover good lead compounds efficiently.This article systematically summarizes the research progress of obtaining lead compounds through the screening and generation models of AI, classifies different models according to the type of information input, focuses on drug repurposing by screening model and multi-objective drug design by generation model, and discusses the development prospect of AI in the research field of lead compounds, aiming to provide new research ideas for the application of AI in lead compounds.

Objective To investigate the physics technique and quality assurance (QA) during radiotherapy in the institutions from the East Guangdong province,aiming to provide reference for the construction of radiotherapy discipline and rational allocation of resources in the primary hospitals from the eastern Guangdong province.Methods From March 15 to May 20,2016,the general conditions,radiotherapy equipment,available technique and quality assurance (QA) in the medical institutions from eastern Guangdong were investigated and analyzed by online combined with on-spot surgery.Results There were 8 institutions which provided radiotherapy with 966 ward beds,a daily capacity of 632 patients and 222 radiotherapy practitioners.Radiotherapy equipment included 12 linear accelerators,5 after-loading devices,1γ-knife,8 CT simulators and 9 radiotherapy planning systems.Five institutions performed IMRT/VMAT,IGRT and ART.Dose verification was performed before precision radiotherapy delivery in all institutions except for 1 center.QA procedures were missing for the linear accelerators,CT simulators and after-loading devices.Short-term advanced studies and hand-by-hand teaching were the main approaches for staff professional training.Conclusions The resource allocation for radiotherapy in the medical centers from the eastern Guangdong province is scarce.The technique and QC levels greatly differ among different institutions.Standard QA protocols are urgently to be established and implemented.Extensive attentions should be paid to the the professional training for technicians.

Objective To develop an intelligent scheduling system for surgery by setting up constraints in an intelligent working environment to achieve automatic scheduling of surgery and personnel,and to precisely match the sub-professional nurses for surgeries.Methods Scheduling constraints were set up,and finally efficient scheduling was developed.Results During the process of clinical application,the rates of error and omission for surgical schedule fell to 4.78％,the rate of surgery re-adjustment fell to 17.74％,the number of average daily operation increased,the matching degree of sub-professional surgery nurse post reached 94.71％.Conclusion The intelligent surgical scheduling system can improve the scheduling efficiency and quality,improve the utilization of the operation rooms,and improve the collaboration quality and efficiency of the sub-professional nurses.