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Transforming Immunology: The Promise of Digital Twins with Dr. Tomáš Helikar
Manage episode 453217448 series 3593861
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:
Supplier-Turned-Partner: Twist Joins Absci in AI Antibody Collaboration
Image Credits
Signal Transduction, www.scientificanimations.com - http://www.scientificanimations.com/wiki-images/
Computational Model, https://computationstructures.org/notes/models/notes.html
Holland computer center, https://newsroom.unl.edu/announce/cse/16380/90600
28 episoder
Manage episode 453217448 series 3593861
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:
Supplier-Turned-Partner: Twist Joins Absci in AI Antibody Collaboration
Image Credits
Signal Transduction, www.scientificanimations.com - http://www.scientificanimations.com/wiki-images/
Computational Model, https://computationstructures.org/notes/models/notes.html
Holland computer center, https://newsroom.unl.edu/announce/cse/16380/90600
28 episoder
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