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Contenido proporcionado por Alex Jani: interviewing visionaries of healthcare innovation. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Alex Jani: interviewing visionaries of healthcare innovation 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.
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AI-Powered Robotic Platform for Faster and More Accurate Diagnose of Cancer Biopsy Samples: Dr. Francesca Catto, IMAI

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Manage episode 418270261 series 3469528
Contenido proporcionado por Alex Jani: interviewing visionaries of healthcare innovation. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Alex Jani: interviewing visionaries of healthcare innovation 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.

Challenging an over 100-year-old histology technic that is prone to false negatives.
In cancer diagnostics.
My guest aims to take histopathology departments from the 20th century into the 21st century, where they belong.
From slicing biopsy samples into 3D.
From a manual preparation to a robotic one.
Where all abnormalities will be pointed out and counted by AI.
And human physicians will see inside the whole sample in 3D.
Let's get down to the cell level.
You’ll hear

  • what happens to your biopsy samples
  • why the current histopathology standard is prone to misses
  • how do you see inside the tissue in 3D and see 400 times more cells
  • what’s so fascinating about watching cells and tissues under the microscope
  • and more

Dr. Francesca Catto, the CEO of IMAI. With a background in Medical Biotechnology and Molecular Medicine, she fell in love with histopathology just to challenge it, when her research showed the current ways are not enough.
IMAI is a pre-seed stage Swiss medtech startup. They develop an automated robotic platform for faster 3D analysis of tumor tissues. Supported with AI, they avoid false negatives and offer better cancer detection.
Here is more about them:
https://www.imai-medtech.com/
Timestamps:
0:00 Dr. Francesca Catto and IMAI
1:11 Why Hospital Pathology Departments Did Not Go Digital
2:30 What Happens to Your Biopsy: Current Gold Standard
9:57 Kinds of Human Tissues and Cells
11:33 What Do Cancer Cells Look Like
13:52 Problems with Current Histopathology
15:25 Histology Definition, Histopathology Definition, Pathology, Histotechnology
16:56 Challenging the Status Quo with 3D Histology
24:22 How Do You See Inside a Tissue in 3D Models
28:32 Robotic AI-Powered Platform for Histopathologists
40:18 400x More Cells Analysed in 3D Histopathology
46:14 Thank You, Follow IMAI
46:45 Follow X-Health.show, Disclaimer
If you've enjoyed listening, you'll make us happy by clicking "Follow" on X-Health.show and leaving a review.
The information in this podcast is for informational purposes only and should not be considered medical advice. If you have any medical questions, please consult your healthcare practitioner. The opinions on the show are Alex's or her guests. The podcast does not make any responsibility or warranties about guests statements or credibility. While the podcast makes every effort to ensure that the information shared is accurate, please let us know if you have any comments, suggestions or corrections.

  continue reading

Capíttulos

1. Dr. Francesca Catto and IMAI (00:00:00)

2. Why Hospital Pathology Departments Did Not Go Digital (00:01:11)

3. What Happens to Your Biopsy: Current Gold Standard (00:02:30)

4. Kinds of Human Tissues and Cells (00:09:57)

5. What Do Cancer Cells Look Like (00:11:33)

6. Problems with Current Histopathology (00:13:52)

7. Histology Definition, Histopathology Definition, Pathology, Histotechnology (00:15:25)

8. Challenging the Status Quo with 3D Histology (00:16:56)

9. How Do You See Inside a Tissue in 3D Models (00:24:22)

10. Robotic AI-Powered Platform for Histopathologists (00:28:32)

11. 400x More Cells Analysed in 3D Histopathology (00:40:18)

12. Thank You, Follow IMAI (00:46:14)

13. Follow X-Health.show, Disclaimer (00:46:45)

82 episodios

Artwork
iconCompartir
 
Manage episode 418270261 series 3469528
Contenido proporcionado por Alex Jani: interviewing visionaries of healthcare innovation. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Alex Jani: interviewing visionaries of healthcare innovation 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.

Challenging an over 100-year-old histology technic that is prone to false negatives.
In cancer diagnostics.
My guest aims to take histopathology departments from the 20th century into the 21st century, where they belong.
From slicing biopsy samples into 3D.
From a manual preparation to a robotic one.
Where all abnormalities will be pointed out and counted by AI.
And human physicians will see inside the whole sample in 3D.
Let's get down to the cell level.
You’ll hear

  • what happens to your biopsy samples
  • why the current histopathology standard is prone to misses
  • how do you see inside the tissue in 3D and see 400 times more cells
  • what’s so fascinating about watching cells and tissues under the microscope
  • and more

Dr. Francesca Catto, the CEO of IMAI. With a background in Medical Biotechnology and Molecular Medicine, she fell in love with histopathology just to challenge it, when her research showed the current ways are not enough.
IMAI is a pre-seed stage Swiss medtech startup. They develop an automated robotic platform for faster 3D analysis of tumor tissues. Supported with AI, they avoid false negatives and offer better cancer detection.
Here is more about them:
https://www.imai-medtech.com/
Timestamps:
0:00 Dr. Francesca Catto and IMAI
1:11 Why Hospital Pathology Departments Did Not Go Digital
2:30 What Happens to Your Biopsy: Current Gold Standard
9:57 Kinds of Human Tissues and Cells
11:33 What Do Cancer Cells Look Like
13:52 Problems with Current Histopathology
15:25 Histology Definition, Histopathology Definition, Pathology, Histotechnology
16:56 Challenging the Status Quo with 3D Histology
24:22 How Do You See Inside a Tissue in 3D Models
28:32 Robotic AI-Powered Platform for Histopathologists
40:18 400x More Cells Analysed in 3D Histopathology
46:14 Thank You, Follow IMAI
46:45 Follow X-Health.show, Disclaimer
If you've enjoyed listening, you'll make us happy by clicking "Follow" on X-Health.show and leaving a review.
The information in this podcast is for informational purposes only and should not be considered medical advice. If you have any medical questions, please consult your healthcare practitioner. The opinions on the show are Alex's or her guests. The podcast does not make any responsibility or warranties about guests statements or credibility. While the podcast makes every effort to ensure that the information shared is accurate, please let us know if you have any comments, suggestions or corrections.

  continue reading

Capíttulos

1. Dr. Francesca Catto and IMAI (00:00:00)

2. Why Hospital Pathology Departments Did Not Go Digital (00:01:11)

3. What Happens to Your Biopsy: Current Gold Standard (00:02:30)

4. Kinds of Human Tissues and Cells (00:09:57)

5. What Do Cancer Cells Look Like (00:11:33)

6. Problems with Current Histopathology (00:13:52)

7. Histology Definition, Histopathology Definition, Pathology, Histotechnology (00:15:25)

8. Challenging the Status Quo with 3D Histology (00:16:56)

9. How Do You See Inside a Tissue in 3D Models (00:24:22)

10. Robotic AI-Powered Platform for Histopathologists (00:28:32)

11. 400x More Cells Analysed in 3D Histopathology (00:40:18)

12. Thank You, Follow IMAI (00:46:14)

13. Follow X-Health.show, Disclaimer (00:46:45)

82 episodios

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