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  <title>DSpace Community: School of Life Sciences Books collection</title>
  <link rel="alternate" href="http://http://repository.i3l.ac.id:80/handle/123456789/468" />
  <subtitle>School of Life Sciences Books collection</subtitle>
  <id>http://http://repository.i3l.ac.id:80/handle/123456789/468</id>
  <updated>2026-04-22T00:32:21Z</updated>
  <dc:date>2026-04-22T00:32:21Z</dc:date>
  <entry>
    <title>Computer Vision network-based detection of brain cancer with Magnetic Resonance Imaging (MRI) pictures</title>
    <link rel="alternate" href="http://http://repository.i3l.ac.id:80/handle/123456789/1081" />
    <author>
      <name>Shiloputra, Axel F</name>
    </author>
    <id>http://http://repository.i3l.ac.id:80/handle/123456789/1081</id>
    <updated>2025-03-23T10:13:14Z</updated>
    <published>2024-09-01T00:00:00Z</published>
    <summary type="text">Title: Computer Vision network-based detection of brain cancer with Magnetic Resonance Imaging (MRI) pictures
Authors: Shiloputra, Axel F
Abstract: Cancer is a complex disease that involves the growth of cells inside the body. In 2020, more&#xD;
than 10 million people died from cancer worldwide. One of them is brain cancer. Brain cancer itself&#xD;
has higher mortality rate on men rather than women. One of the tools that play pivotal role in&#xD;
detecting cancer is Artificial Intelligence. The Artificial Intelligence helps on analyzing the image&#xD;
pattern by using CT scan, MRI scan, and X-Rays. To help the Artificial Intelligence more, a Residual&#xD;
Network (ResNet) and Efficient Network (EfficientNet) will be used in the programming and help&#xD;
reducing human errors. Thus, Artificial Intelligence will be a big support on analyzing cancer,&#xD;
especially in its early stage. By doing this, it will help more lives in the future.</summary>
    <dc:date>2024-09-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Structural Bioinformatics Approach to Design Boradamantane-derivates Compounds as SARS-CoV-2 Inhibitors</title>
    <link rel="alternate" href="http://http://repository.i3l.ac.id:80/handle/123456789/817" />
    <author>
      <name>Parikesit, Arli Aditya</name>
    </author>
    <id>http://http://repository.i3l.ac.id:80/handle/123456789/817</id>
    <updated>2023-07-28T07:10:28Z</updated>
    <published>2022-02-07T00:00:00Z</published>
    <summary type="text">Title: Structural Bioinformatics Approach to Design Boradamantane-derivates Compounds as SARS-CoV-2 Inhibitors
Authors: Parikesit, Arli Aditya
Description: The novelty of this pipeline is devising the organoborane compounds as drug inhibitor of SARS-CoV-2</summary>
    <dc:date>2022-02-07T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Structural Bioinformatics Approach: Study Case in SARS-CoV-2 Inhibitor</title>
    <link rel="alternate" href="http://http://repository.i3l.ac.id:80/handle/123456789/816" />
    <author>
      <name>Parikesit, Arli Aditya</name>
    </author>
    <author>
      <name>Surjawan, Iwan</name>
    </author>
    <id>http://http://repository.i3l.ac.id:80/handle/123456789/816</id>
    <updated>2023-07-28T07:05:37Z</updated>
    <published>2021-12-23T00:00:00Z</published>
    <summary type="text">Title: Structural Bioinformatics Approach: Study Case in SARS-CoV-2 Inhibitor
Authors: Parikesit, Arli Aditya; Surjawan, Iwan
Description: This is one of the ideation product of the Penelitian Dasar DIKTI Grant about SARS-CoV-2 Drug Design. Moreover, the modules have been deployed in a CSR project in Kupang, NTT. You can check this paper for the evidence: https://journal.unnes.ac.id/nju/index.php/jpii/article/view/21437 "</summary>
    <dc:date>2021-12-23T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Utilizing Information System to Tackle Drug-Drug Interaction in Clinical Setting</title>
    <link rel="alternate" href="http://http://repository.i3l.ac.id:80/handle/123456789/815" />
    <author>
      <name>Valeska, Margaretta Deidre</name>
    </author>
    <author>
      <name>Veneqe, Ike</name>
    </author>
    <author>
      <name>Firmansyah, Moch.</name>
    </author>
    <author>
      <name>Whisnu, Andreas</name>
    </author>
    <author>
      <name>Crystalia, Audrey Amira</name>
    </author>
    <author>
      <name>Agustriawan, David</name>
    </author>
    <author>
      <name>Parikesit, Arli Aditya</name>
    </author>
    <id>http://http://repository.i3l.ac.id:80/handle/123456789/815</id>
    <updated>2023-07-28T04:15:25Z</updated>
    <published>2021-12-11T00:00:00Z</published>
    <summary type="text">Title: Utilizing Information System to Tackle Drug-Drug Interaction in Clinical Setting
Authors: Valeska, Margaretta Deidre; Veneqe, Ike; Firmansyah, Moch.; Whisnu, Andreas; Crystalia, Audrey Amira; Agustriawan, David; Parikesit, Arli Aditya
Description: It is the depiction of the newly developed drug-drug interaction database, named as DDIBase. The prototype could be accessed in here, and you can ask the PI for access: https://ddi-cloud.i3l.ac.id/</summary>
    <dc:date>2021-12-11T00:00:00Z</dc:date>
  </entry>
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