Player FM 앱으로 오프라인으로 전환하세요!
AI in Oncology: The Future of Cancer Prevention and Treatment / ZuriAI Podcast #2
Manage episode 442201398 series 3457106
👉 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
33 에피소드
Manage episode 442201398 series 3457106
👉 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
33 에피소드
모든 에피소드
×플레이어 FM에 오신것을 환영합니다!
플레이어 FM은 웹에서 고품질 팟캐스트를 검색하여 지금 바로 즐길 수 있도록 합니다. 최고의 팟캐스트 앱이며 Android, iPhone 및 웹에서도 작동합니다. 장치 간 구독 동기화를 위해 가입하세요.