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

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Manage episode 453217448 series 3593861
Contenido proporcionado por BioTalk Unzipped. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente BioTalk Unzipped o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.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

31 episodios

Artwork
iconCompartir
 
Manage episode 453217448 series 3593861
Contenido proporcionado por BioTalk Unzipped. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente BioTalk Unzipped o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.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

31 episodios

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