<?xml version="1.0"?>
<Articles JournalTitle="Acta Biochimica Iranica">
  <Article>
    <Journal>
      <PublisherName>Tehran University of Medical Sciences</PublisherName>
      <JournalTitle>Acta Biochimica Iranica</JournalTitle>
      <Issn>0001-5261</Issn>
      <Volume>2</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="epublish">
        <Year>2024</Year>
        <Month>03</Month>
        <Day>22</Day>
      </PubDate>
    </Journal>
    <title locale="en_US">Transformative Trends: Generative AI's Impact on Biochemistry and Clinical Chemistry</title>
    <FirstPage>1</FirstPage>
    <LastPage>3</LastPage>
    <AuthorList>
      <Author>
        <FirstName>Siamak</FirstName>
        <LastName>Salami</LastName>
        <affiliation locale="en_US">Department of Clinical Biochemistry, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran</affiliation>
      </Author>
    </AuthorList>
    <History>
      <PubDate PubStatus="received">
        <Year>2024</Year>
        <Month>05</Month>
        <Day>22</Day>
      </PubDate>
    </History>
    <abstract locale="en_US">Artificial Intelligence (AI) has become an integral part of lab medicine, revolutionizing how biochemists and clinical chemists approach research, analysis, and diagnosis. Several domains, each with unique capabilities, have emerged as game-changers in AI. Understanding these domains, such as Generative AI, Natural Language Processing (NLP), Large Language Models (LLMs), and other related technologies, is essential for harnessing their potential in biochemistry and clinical chemistry.</abstract>
    <web_url>https://abi.tums.ac.ir/index.php/abi/article/view/82</web_url>
    <pdf_url>https://abi.tums.ac.ir/index.php/abi/article/download/82/44</pdf_url>
  </Article>
</Articles>
