AI and predictive modeling to understand an individual’s immune system function and predict treatment response are still in very early stages. We dream about precision medicine and getting every answer we can for ourselves when we get sick. However, if we look at genomics, only about 20 percent of human coding genes are well-studied. The remaining 80 percent (about 16,000 genes, along with the proteins they make) are largely a mystery.
In this episode, you will hear more about the field of immuno-oncology, understand the correlation between tumor development and immune system response, and trends in cancer detection and prevention, especially liquid biopsies - tests for detecting tumors in blood samples.
Speaker: Brian Hashemi - Executive Chairman and CEO of Novigenix - a Swiss-based biotech company using AI and RNA sequence analysis to capture the cancer immunity cycle during the multi-stage disease progression and response to therapy.
www.facesofdigitalhealth.com
https://fodh.substack.com/
Show notes:
[00:02:00] The use of AI and RNA sequence analysis in capturing the cancer immunity cycle and disease progression
[00:04:00] Biotech in Switzerland
[00:06:00] The impact of Swiss biotech capabilities on global healthcare and the specific advancements made by Swiss companies in the field.
[00:08:00] Predictions and hopes for the future of healthcare technology, especially in the realms of cancer detection and treatment.
[00:10:00] Challenges and opportunities in biotech, and the role of AI in advancing healthcare.
[00:12:00] Challenges in Colorectal Cancer Screening
[00:14:00] The Impact of Liquid Biopsy on Clinical Trials and Drug Development
[00:16:00] Market Adoption and Patient Accessibility to Liquid Biopsy Tests
[00:18:00] The Future of Liquid Biopsy and Precision Medicine
[00:20:00] Real-world Application and Impact of Novel Biomarkers
[00:22:00] Expanding the Reach of Novel Diagnostics Beyond Switzerland
[00:24:00] Partnerships and Collaborations to Accelerate Adoption
Healthcare data series 2/5: Epic Cosmos - Next Step in EHR Data Mining
Healthcare Data Series 1/5: How is Komodo Health Gathering and Analysing Health Data of the Whole US Population?
NLP in Healthcare 3/3: ChatGPT, MedPaLM and the Impact of NLP in Healthcare
NLP in Healthcare 2/3: The Power of Voice and NLP for Medical Practice Optimization (Punit Singh Soni, Suki)
NLP in healthcare 1/3: The State of Symptom Checkers (Jeff Cutler, Ada Health)
Healthcare in 2033: “You can only disrupt healthcare in a non-disruptive way” (Mark Coticchia, Baptist Health)
How Can We Improve Mental Health of Students and Young Adults? (Timely MD, Iris Telehealth)
Building Mental Health Resilience (Katie DiPerna Cook, Headspace Health)
EIT Health Germany-Switzerland Ep. 10: How do AI and VR improve eye care?
Blockchain and Web3 in 2022: Where Are We? (John Bass, Hashed Industries)
EIT Health Germany-Switzerland Ep. 9: What expectations should we have in regard to the European Health Data Space?
Has The Risk of Becoming a Nurse Become Too Great in the US?
HLTH Recap: From health disparities, sexual health, and patient experience as the key tool for improved patient outcomes
Global State of Digital Health presented at HLTH
Connecting Startups With Pharma and Healthcare Providers
How Are Shared Care Records Becoming a Reality in London? (Gary McAllister)
How Did London Digitize Urgent Care Plans?
Cancer Series Ep. 5: Digital Strategy of The Largest Single-Site Cancer Center in Europe
Cancer Series Ep. 4: Cancer is Gone, What Happens Next?
Cancer Series Ep. 3: AI, Precision Oncology and Understanding Cancer (Pangea Biomed)
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