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E78 | How AI is leveraged in Diagnosing Endometriosis

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Manage episode 407087271 series 3557643
Content provided by Dr Andree Bates and Dr. Andree Bates. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr Andree Bates and Dr. Andree Bates or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode of AI For Pharma Growth, Dr Andree Bates is joined by Somer Baburek, CEO & Co-Founder of Hera Biotech.

They discuss how Hera Biotech is developing an artificial intelligence-based diagnostic tool for endometriosis using single-cell analysis of gene expression in endometrial cells. This non-invasive approach could help the millions of women suffering from the disease receive an earlier diagnosis without surgery. It may also help pharmaceutical companies test new drugs for endometriosis by providing a way to monitor treatment effectiveness without repeated surgical procedures. If successful, this diagnostic has the potential to significantly improve care and outcomes for those living with endometriosis.

In this episode you will learn about:

  • Hera Biotech’s AI-based diagnostic tool for endometriosis
  • How it analyses gene expression in endometrial cells at a single-cell level using microchips
  • Why current diagnosis methods are outdated
  • How AI is used to diagnose endometriosis
  • Why this will help women receive earlier diagnosis
  • How AI will help pharmaceutical companies test new drugs

Click to connect with Dr. Andree Bates for more information in this episode: https://eularis.com/

For more information on Somer and her work with Hera Biotech, click here: https://www.herabiotech.com/

AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr. Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business.

This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget.

As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses.

This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business results. Those who share their stories and expertise show how AI can be applied to sales, marketing, production, social media, psychology, customer insights and so much more.

Resources:

Dr. Andree Bates LinkedIn | Facebook | Twitter

  continue reading

136 episodes

Artwork
iconShare
 
Manage episode 407087271 series 3557643
Content provided by Dr Andree Bates and Dr. Andree Bates. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr Andree Bates and Dr. Andree Bates or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode of AI For Pharma Growth, Dr Andree Bates is joined by Somer Baburek, CEO & Co-Founder of Hera Biotech.

They discuss how Hera Biotech is developing an artificial intelligence-based diagnostic tool for endometriosis using single-cell analysis of gene expression in endometrial cells. This non-invasive approach could help the millions of women suffering from the disease receive an earlier diagnosis without surgery. It may also help pharmaceutical companies test new drugs for endometriosis by providing a way to monitor treatment effectiveness without repeated surgical procedures. If successful, this diagnostic has the potential to significantly improve care and outcomes for those living with endometriosis.

In this episode you will learn about:

  • Hera Biotech’s AI-based diagnostic tool for endometriosis
  • How it analyses gene expression in endometrial cells at a single-cell level using microchips
  • Why current diagnosis methods are outdated
  • How AI is used to diagnose endometriosis
  • Why this will help women receive earlier diagnosis
  • How AI will help pharmaceutical companies test new drugs

Click to connect with Dr. Andree Bates for more information in this episode: https://eularis.com/

For more information on Somer and her work with Hera Biotech, click here: https://www.herabiotech.com/

AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr. Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business.

This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget.

As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses.

This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business results. Those who share their stories and expertise show how AI can be applied to sales, marketing, production, social media, psychology, customer insights and so much more.

Resources:

Dr. Andree Bates LinkedIn | Facebook | Twitter

  continue reading

136 episodes

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