AI-enabled organoids:Construction,analysis,and application

Organoids,miniature and simplified in vitro model systems that mimic the structure and function of organs,have attracted considerable interest due to their promising applications in disease modeling,drug screening,personalized medicine,and tissue engineering.Despite the substantial success in cultivating physiologically relevant organoids,challenges remain concerning the complexities of their assembly and the difficulties associated with data analysis.The advent of AI-Enabled Organoids,which interfaces with artificial intelligence(AI),holds the potential to revolutionize the field by offering novel insights and methodologies that can expedite the development and clinical application of organoids.This review succinctly delineates the fundamental concepts and mechanisms underlying AI-Enabled Organoids,summarizing the prospective applications on rapid screening of construction strategies,cost-effective extraction of multiscale image features,streamlined analysis of multi-omics data,and precise preclinical evaluation and application.We also explore the challenges and limitations of interfacing organoids with AI,and discuss the future direction of the field.Taken together,the AI-Enabled Organoids hold significant promise for advancing our understanding of organ development and disease progression,ultimately laying the groundwork for clinical application.

Analysis of Indirect Evidence in Hit-and-run Cases

For personnel handling cases in public security bodies,evaluation of evidence is key to discover the fact and then to settle disputes.The process of evaluation shall be confirmed to rules of logic.Rules of logic are a set of judgment rules for people to reflect,induce,and deduce the development of law worldwide.Thus,evaluation of evidence shall be built on objective and rational logic deduction.Rules of logic applied in the investigation and judgment of evidence can help in finding a direct or indirect link between the evidence and the facts of an accident,thereby providing support and assistance for accident identification.It is particularly necessary to apply rules of logic to evaluate the indirect evidence chain in the investigation of hit‑and‑run traffic accident cases.This article demonstrates the specific application of such rules in the investigation of a serious hit‑and‑run traffic accident case.In the investigation process through the comprehensive analysis of and logical thinking around all indirect evidence,such as site inspection data,video monitoring data,witness testimony,and expert conclusions,and the combining of this with the direct evidence of the parties’statements,a complete chain of evidence for identifying a suspect’s vehicle and the accident facts can be formed.The effective application of rules of logic in the evaluation of the indirect evidence chain in hit‑and‑run traffic accident cases provides more clues and narrows the scope of an investigation,improving its efficiency and accuracy,thereby helping to identify the facts of an accident.