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Anywhere Club에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Anywhere Club 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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AI in Oncology: The Future of Cancer Prevention and Treatment / ZuriAI Podcast #2

1:05:19
 
공유
 

Manage episode 442201398 series 3457106
Anywhere Club에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Anywhere Club 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

👉 Course: "AI-supported software engineering": https://epa.ms/ai-swe

👉 Course: "AI-Supported Testing": https://epa.ms/ai-aqa

👉 Course: "Prompt Engineering Foundations": https://epa.ms/ai-pef

👉 Join the EngX: https://epa.ms/engx-club

How AI is Revolutionizing Cancer Research and Treatment? In this episode of the ZuriAI podcast, we explore how AI is transforming the prediction, diagnosis, and treatment of cancer. Artem Shmatko, a doctoral student and ML researcher at the German Cancer Research Center, explains AI’s growing influence in oncology.

We discuss:

What cancer is and why it’s challenging to prevent and diagnose

How AI is impacting drug discovery

Medical data aspects and limitations

The role of computer vision in histopathology

Challenges related to data management and patient privacy

NAVIGATION

0:00 Start

0:43 EngX

1:20 Meet our expert, Artem Shmatko

1:49 What is cancer? Complexity and diversity of cancers.

6:52 Why is it so difficult? Challenges of preventing cancer

10:17 How AI is becoming a pivotal tool in cancer prevention and treatment strategies.

12:40 MRI as a prevention technique.

14:38 The role of AI as a decision-support system in clinical settings.

22:01 AI in drug discovery. Transforming cancer treatment pipelines.

26:42 AI-powered recommendation systems for defining focus groups in clinical trials.

28:14 The complexities of data ingestion and collection in cancer research.

30:39 Handling patient-sensitive data: The ethical and technical challenges.

34:13 Certification and regulation in AI-driven oncology.

36:24 How computer vision and histopathology diagnostics are being redefined by AI.

38:27 The importance of image size and resolution in cancer diagnostics.

41:44 Discussing the potential of 100k*100k pixel resolution in medical imaging.

43:05 The technical limitations in cancer detection using computer vision.

46:03 Multiple instance learning

49:27 Data challenges in AI-driven oncology.

53:35 The role of open-source platforms in advancing medical AI.

57:26 Forecasting the impact of AI on the future of cancer prevention and diagnostics.

1:00:35 What industry challenges can AI overcome in oncology?

LINKS FROM THE EPISODE

🔹 AI's Evolution in Music/ ZuriAI #1: https://www.youtube.com/watch?v=KRJV-1Y61SM

🔹 What is cancer: https://www.cancer.gov/about-cancer/understanding/what-is-cancer

🔹 Classification of brain tumours: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328013/

🔹 AI based solutions for determination of cell origin: https://www.nature.com/articles/s41586-021-03512-4

🔹 On diagnosing cancer using blood samples: https://doi.org/10.1093/nar/gkz942

🔹 Content-Based Image Retrieval (CBIR) for histological images: https://doi.org/10.1016/j.media.2020.101757

🔹 Automating drug discovery: https://doi.org/10.1038/nrd.2017.232

🔹AI for computational histopathology: https://www.nature.com/articles/s43018-022-00436-4

🔹 Pretrained feature extractors for Multiple Instance Learning (MIL) pipelines: https://www.nature.com/articles/s41591-024-02857-3

🔹 https://www.nature.com/articles/s41586-024-07441-w

🔹 Predicting DNA mutations from histological images: https://www.nature.com/articles/s43018-020-0085-8

WHERE TO WATCH US AND LISTEN

🔸 YouTube: https://youtu.be/XreqENCkpqE

🔸 Google Podcasts: https://bit.ly/awclub-en-google

🔸 Apple Podcasts: https://bit.ly/awclub-en-apple

🔸 Spotify: https://bit.ly/awclub-en-spotify

🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/30

#awclub #engx #ai #oncology

  continue reading

33 에피소드

Artwork
icon공유
 
Manage episode 442201398 series 3457106
Anywhere Club에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Anywhere Club 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

👉 Course: "AI-supported software engineering": https://epa.ms/ai-swe

👉 Course: "AI-Supported Testing": https://epa.ms/ai-aqa

👉 Course: "Prompt Engineering Foundations": https://epa.ms/ai-pef

👉 Join the EngX: https://epa.ms/engx-club

How AI is Revolutionizing Cancer Research and Treatment? In this episode of the ZuriAI podcast, we explore how AI is transforming the prediction, diagnosis, and treatment of cancer. Artem Shmatko, a doctoral student and ML researcher at the German Cancer Research Center, explains AI’s growing influence in oncology.

We discuss:

What cancer is and why it’s challenging to prevent and diagnose

How AI is impacting drug discovery

Medical data aspects and limitations

The role of computer vision in histopathology

Challenges related to data management and patient privacy

NAVIGATION

0:00 Start

0:43 EngX

1:20 Meet our expert, Artem Shmatko

1:49 What is cancer? Complexity and diversity of cancers.

6:52 Why is it so difficult? Challenges of preventing cancer

10:17 How AI is becoming a pivotal tool in cancer prevention and treatment strategies.

12:40 MRI as a prevention technique.

14:38 The role of AI as a decision-support system in clinical settings.

22:01 AI in drug discovery. Transforming cancer treatment pipelines.

26:42 AI-powered recommendation systems for defining focus groups in clinical trials.

28:14 The complexities of data ingestion and collection in cancer research.

30:39 Handling patient-sensitive data: The ethical and technical challenges.

34:13 Certification and regulation in AI-driven oncology.

36:24 How computer vision and histopathology diagnostics are being redefined by AI.

38:27 The importance of image size and resolution in cancer diagnostics.

41:44 Discussing the potential of 100k*100k pixel resolution in medical imaging.

43:05 The technical limitations in cancer detection using computer vision.

46:03 Multiple instance learning

49:27 Data challenges in AI-driven oncology.

53:35 The role of open-source platforms in advancing medical AI.

57:26 Forecasting the impact of AI on the future of cancer prevention and diagnostics.

1:00:35 What industry challenges can AI overcome in oncology?

LINKS FROM THE EPISODE

🔹 AI's Evolution in Music/ ZuriAI #1: https://www.youtube.com/watch?v=KRJV-1Y61SM

🔹 What is cancer: https://www.cancer.gov/about-cancer/understanding/what-is-cancer

🔹 Classification of brain tumours: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328013/

🔹 AI based solutions for determination of cell origin: https://www.nature.com/articles/s41586-021-03512-4

🔹 On diagnosing cancer using blood samples: https://doi.org/10.1093/nar/gkz942

🔹 Content-Based Image Retrieval (CBIR) for histological images: https://doi.org/10.1016/j.media.2020.101757

🔹 Automating drug discovery: https://doi.org/10.1038/nrd.2017.232

🔹AI for computational histopathology: https://www.nature.com/articles/s43018-022-00436-4

🔹 Pretrained feature extractors for Multiple Instance Learning (MIL) pipelines: https://www.nature.com/articles/s41591-024-02857-3

🔹 https://www.nature.com/articles/s41586-024-07441-w

🔹 Predicting DNA mutations from histological images: https://www.nature.com/articles/s43018-020-0085-8

WHERE TO WATCH US AND LISTEN

🔸 YouTube: https://youtu.be/XreqENCkpqE

🔸 Google Podcasts: https://bit.ly/awclub-en-google

🔸 Apple Podcasts: https://bit.ly/awclub-en-apple

🔸 Spotify: https://bit.ly/awclub-en-spotify

🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/30

#awclub #engx #ai #oncology

  continue reading

33 에피소드

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