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Single-Cell Technologies to Accelerate Drug Development and Cancer Treatment: Dr. Diana Stoycheva, Scailyte

Alex: interviewing visionaries of healthcare innovation

They are great soldiers.

They go after every rouge cell they can find. And kill it.

And they never forget the enemies, always ready to fight back.

We're speaking cancer treatment of the future, in clinical trials today – but not only. Single-cell analysis can serve personalized medicine, in various diseases.

You’ll hear about 

  • cell therapy to fight cancer
  • CAR T cell therapy
  • precision medicine and training cells in killing rougue cells
  • multiomics analysis
  • drug discovery powered and accelerated by AI
  • and coming soon: early biomarkers for endometriosis.


Dr. Diana Stoycheva is a Principal Expert Scientist at Scailyte. She specializes in immunology, infectious diseases, and immuno-oncology. 

Scailyte, the company she joined, developed an Artificial Intelligence driven platform that supports discovery of complex disease patterns from single-cell data. They’re at the forefront of advancing precision medicine through AI and multiomics analysis.

Find them at https://scailyte.com.

Timestamps:
0:00 Dr Diana Stoycheva and Scailyte
1:20 Single-cell technologies
4:35 What are multiomics
6:17 ScaiVision platform
9:06 Predicting a patient's response to therapy
11:21 Teaching AI
15:46 For drug developers and those who generate complex data
16:04 Founding Scailyte startup
20:44 Dr. Stoycheva's background in immunology and immuno-oncology
23:10 Potential of immunotherapy in treating cancer
23:30 Cell therapy
24:43 CAR T cells
29:50 CAR T cell therapy efficacy
32:20 Singe-cell technologies adoption
37:07 Scailyte-Turnstone Biologics partnership
38:30 How to learn max from early stage trial
39:35 Predictive biomarkers and CDx
42:05 Market access
43:14 Biomarkers for precision medicine
45:19 Cost of personalized cancer treatment
47:24 Future of single-cell data analysis
48:18 Early biomarkers for endometriosis
50:55 Links to Scailyte, Follow X-Health.show, Disclaimer

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