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SLAS에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 SLAS 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Ensuring Sample Integrity | Automation Challenges in Diagnostics with David Jennions, Ph.D. (Sponsored by United Robotics Group)

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Manage episode 468338821 series 3279354
SLAS에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 SLAS 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Send us a text

Live from SLAS2025, Emily Yamasaki, Ph.D., speaks with David Jennions, Ph.D., Senior Director of Platforms and Systems Development at Grail and SLAS board member. Jennions discusses his role at Grail, which involves overseeing the development and deployment of large-scale automation systems for clinical diagnostics, ensuring they are fit for purpose and operationally efficient. Later, the two discuss themes of integration, communication and collaboration in lab automation, particularly in the context of the Nexus Xp Pavilion at the conference. He also shares insights into the challenges of automating complex diagnostic assays, the role of AI and machine learning in data analysis, and his excitement about the innovations showcased at SLAS.

Key Learning Points

  • Integration and Communication in Automation: The effectiveness of integration and communication between instruments, robots and data systems for improving operational efficiency.
  • Sample Integrity and System Reliability: How clinical diagnostics and drug discovery compare in handling errors.
  • AI and Machine Learning in Diagnostics: Why being cautionary when implementing AI and machine learning helps avoid bias and ensure verifiable outputs.

Thank you to our Sponsor
United Robotics Group is a leader in delivering innovative robotic solutions that empower industries to achieve more. Combining cutting-edge technology with human-centric design, we specialize in creating advanced automation tools that streamline processes, enhance precision, and drive efficiency across sectors such as life sciences, manufacturing, healthcare, and more.
Guided by a commitment to innovation and quality, we design solutions that not only address today’s challenges but also pave the way for tomorrow’s possibilities. At United Robotics Group, we’re not just building robots—we’re building partnerships that transform industries and improve lives.
Learn more at https://unitedrobotics.group/en-us.

Stay connected with SLAS:

About SLAS
SLAS (Society for Laboratory Automation and Screening) is an international professional society of academic, industry and government life sciences researchers and the developers and providers of laboratory automation technology. The SLAS mission is to bring together researchers in academia, industry and government to advance life sciences discovery and technology via education, knowledge exchange and global community building.

SLAS2026 International Conference & Exhibition

  • February 7-11, 2026
  • Boston, MA

SLAS Europe 2026 Conference and Exhibition

  • 19-21 May 2026
  • Vienna, Austria

View the full events calendar

  continue reading

188 에피소드

Artwork
icon공유
 
Manage episode 468338821 series 3279354
SLAS에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 SLAS 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Send us a text

Live from SLAS2025, Emily Yamasaki, Ph.D., speaks with David Jennions, Ph.D., Senior Director of Platforms and Systems Development at Grail and SLAS board member. Jennions discusses his role at Grail, which involves overseeing the development and deployment of large-scale automation systems for clinical diagnostics, ensuring they are fit for purpose and operationally efficient. Later, the two discuss themes of integration, communication and collaboration in lab automation, particularly in the context of the Nexus Xp Pavilion at the conference. He also shares insights into the challenges of automating complex diagnostic assays, the role of AI and machine learning in data analysis, and his excitement about the innovations showcased at SLAS.

Key Learning Points

  • Integration and Communication in Automation: The effectiveness of integration and communication between instruments, robots and data systems for improving operational efficiency.
  • Sample Integrity and System Reliability: How clinical diagnostics and drug discovery compare in handling errors.
  • AI and Machine Learning in Diagnostics: Why being cautionary when implementing AI and machine learning helps avoid bias and ensure verifiable outputs.

Thank you to our Sponsor
United Robotics Group is a leader in delivering innovative robotic solutions that empower industries to achieve more. Combining cutting-edge technology with human-centric design, we specialize in creating advanced automation tools that streamline processes, enhance precision, and drive efficiency across sectors such as life sciences, manufacturing, healthcare, and more.
Guided by a commitment to innovation and quality, we design solutions that not only address today’s challenges but also pave the way for tomorrow’s possibilities. At United Robotics Group, we’re not just building robots—we’re building partnerships that transform industries and improve lives.
Learn more at https://unitedrobotics.group/en-us.

Stay connected with SLAS:

About SLAS
SLAS (Society for Laboratory Automation and Screening) is an international professional society of academic, industry and government life sciences researchers and the developers and providers of laboratory automation technology. The SLAS mission is to bring together researchers in academia, industry and government to advance life sciences discovery and technology via education, knowledge exchange and global community building.

SLAS2026 International Conference & Exhibition

  • February 7-11, 2026
  • Boston, MA

SLAS Europe 2026 Conference and Exhibition

  • 19-21 May 2026
  • Vienna, Austria

View the full events calendar

  continue reading

188 에피소드

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