1、Automation and artificial intelligence in research-current applications and future perspectivesWhite paper|Automation and artificial intelligence in research-current applications and future perspectives|June White paper:Automation and artificial intelligence in researchAs technology continues to per

2、meate every aspect of our lives,terms like“automation”and“artificial intelligence”are becoming more prevalent,especially in the field of research.Despite often being used interchangeably,these two concepts are distinct and have different applications in laboratory settings.“Automation”relates to the

3、 use of technology to perform tasks that would typically require human input.1 Conversely,“artificial intelligence”(AI)is the use of intelligent systems to perform tasks requiring human intelligence,such as problem-solving and decision-making.1 Although distinct in concept,both have the power to rev

4、olutionize scientific ContentsIntroduction.4Current trends in automation.5 Data management.5 Sample management.5 Mobile robots and self-driving labs.6 Cell culture automation.6Current trends in artificial intelligence.7 Pathology.7 Drug discovery.7 Clinical trials.7 Gene therapies.8Current challenge

5、s and future IntroductionIn a previous edition of our panel discussion series,Lab Talks,we delved into how automation and artificial intelligence are accelerating scientific discoveries.Despite the discussion taking place over a year ago,the points raised still hold true today.Our panelists-Joana Ro

6、cha,a bioengineer&research fellow at INESC Technology and Science;Fane Mensah,life science business director at Synthace;and Kimberly Holtz,sales and business development manager at Iris.AI-all agreed that automation and AI have the potential to increase research efficiency and mitigate the risk of