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Transforming Immunology: The Promise of Digital Twins with Dr. Tomáš Helikar

32:28
 
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Manage episode 453217448 series 3593861
Innehåll tillhandahållet av BioTalk Unzipped. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av BioTalk Unzipped eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

Dr. Tomas Helikar, a leading researcher in bioinformatics and systems biology, delves into groundbreaking work on developing a personalized immune digital twin, which aims to revolutionize the understanding and treatment of immune-related diseases.

Chapters

00:00 Introduction to BioTalk Unzipped

01:50 Meet Dr. Tomas Helikar

04:34 The Journey into Systems Biology

10:03 Understanding Digital Twins in Immunology

14:19 The Importance of Personalized Medicine

17:20 Digital Twin Research Funding and Its Impact

18:38 The Role of Digital Twins in Disease Management

21:11 Digital Twin Efforts for Organ Transplants

24:05 Computational Challenges in Modeling

26:36 Mathematical Models in Biological Research

28:11 - NEW NEWS! - Twist Joins Absci in AI Antibody Collaboration

How to reach us:

Tomas Helikar

https://www.linkedin.com/in/tomashelikar/

X - https://x.com/tomashelikar

Dr. Chad Briscoe

https://www.linkedin.com/in/chadbriscoe/

Celerion - https://www.celerion.com/

Gregory Austin

https://www.linkedin.com/in/gregoryaustin1/

ECI - https://eci-rx.com /

Charity Mentioned: https://saintpeterlincoln.com/school

FOLLOW ►

LinkedIn: https://www.linkedin.com/company/biotalk-unzipped

Twitter: https://x.com/BiotalkUnzipped

Instagram: https://www.instagram.com/biotalkunzipped/

Takeaways

  • Dr. Helikar's research focuses on the immune system's network and disease.
  • Systems biology integrates computer science and biology for better understanding.
  • Digital twins can provide personalized models for immune system analysis.
  • Your digital twin model could tell you how you might respond to a particular disease and if you really need to go to the hospital.
  • The immune digital twin reflects an individual's unique immune baseline.
  • Research funding is crucial for advancing innovative medical technologies.
  • Personalized medicine can improve public health outcomes significantly.
  • Computational power is essential for processing complex biological data.
  • Mathematical models are vital for simulating biological processes.
  • Digital twins can enhance drug discovery and clinical trial efficiency.

Sound Bites

"The immune system is a network of networks."

“Each of our immune system baselines are different.”

"We need to build out this multi-scale model."

New News Story:

Image Credits

  continue reading

28 episoder

Artwork
iconDela
 
Manage episode 453217448 series 3593861
Innehåll tillhandahållet av BioTalk Unzipped. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av BioTalk Unzipped eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

Dr. Tomas Helikar, a leading researcher in bioinformatics and systems biology, delves into groundbreaking work on developing a personalized immune digital twin, which aims to revolutionize the understanding and treatment of immune-related diseases.

Chapters

00:00 Introduction to BioTalk Unzipped

01:50 Meet Dr. Tomas Helikar

04:34 The Journey into Systems Biology

10:03 Understanding Digital Twins in Immunology

14:19 The Importance of Personalized Medicine

17:20 Digital Twin Research Funding and Its Impact

18:38 The Role of Digital Twins in Disease Management

21:11 Digital Twin Efforts for Organ Transplants

24:05 Computational Challenges in Modeling

26:36 Mathematical Models in Biological Research

28:11 - NEW NEWS! - Twist Joins Absci in AI Antibody Collaboration

How to reach us:

Tomas Helikar

https://www.linkedin.com/in/tomashelikar/

X - https://x.com/tomashelikar

Dr. Chad Briscoe

https://www.linkedin.com/in/chadbriscoe/

Celerion - https://www.celerion.com/

Gregory Austin

https://www.linkedin.com/in/gregoryaustin1/

ECI - https://eci-rx.com /

Charity Mentioned: https://saintpeterlincoln.com/school

FOLLOW ►

LinkedIn: https://www.linkedin.com/company/biotalk-unzipped

Twitter: https://x.com/BiotalkUnzipped

Instagram: https://www.instagram.com/biotalkunzipped/

Takeaways

  • Dr. Helikar's research focuses on the immune system's network and disease.
  • Systems biology integrates computer science and biology for better understanding.
  • Digital twins can provide personalized models for immune system analysis.
  • Your digital twin model could tell you how you might respond to a particular disease and if you really need to go to the hospital.
  • The immune digital twin reflects an individual's unique immune baseline.
  • Research funding is crucial for advancing innovative medical technologies.
  • Personalized medicine can improve public health outcomes significantly.
  • Computational power is essential for processing complex biological data.
  • Mathematical models are vital for simulating biological processes.
  • Digital twins can enhance drug discovery and clinical trial efficiency.

Sound Bites

"The immune system is a network of networks."

“Each of our immune system baselines are different.”

"We need to build out this multi-scale model."

New News Story:

Image Credits

  continue reading

28 episoder

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