👉 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

👉 Join the: https://epa.ms/engx-club

👉 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

Check out this episode where a JavaScript Frontend Engineer goes through a job interview. Join us as Shakhzod Khodjaev, our candidate, faces some programming challenges and answers questions from our interviewer, Viktor Soroka.

At the end, both the interviewer and interviewee share their honest thoughts about how it all went. They’ll talk about areas that could be improved and point out some helpful resources suggested by our EngX community leader, Roman Zatitskii, like "AI-supported Software Engineering" and "AI-supported Testing," to boost your AI knowledge.

This episode is a great way to see a technical interview in action—don’t miss it!

NAVIGATION

00:00 Intro

01:55 Introduction of participant

03:01 Theoretical part 1

43:17 Practical task: Event Loop

48:25 Theoretical part 2

52:20 AI prompt engineering

56:44 ENGX courses announcement

59:36 Critical thinking task

1:22:30 GenAI adoption program for engineering teams

1:24:20 Feedback session

WHERE TO WATCH US AND LISTEN

🔸 YouTube: https://youtu.be/-5XD9OH4w-4

🔸 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/29

#awclub #engx #mockinterview

Unlock the key to better collaboration between Product Managers and Developers. Learn the importance of Product Discovery, how AI can boost it, and quick tips to validate ideas. Get actionable insights to become a more product-focused developer!

NAVIGATION

0:00 Start

0:53 What common misconceptions might developers have about this role?

1:45 How does thinking in terms of value help bridge the gap between Product Managers and Tech Teams?

2:38 Can you give concrete examples of misconceptions?

3:08 What is Product Discovery, and why is it crucial to perform it alongside product delivery?

4:16 How can developers benefit from understanding this process?

5:08 Why is Product Discovery so important?

6:30 Why should Product Discovery be done using AI?

7:32 How can developers help test product ideas without fully building them? What techniques are used to validate hypotheses effectively?

9:03 What are the best practices for Product Managers and development teams to communicate and collaborate effectively?

10:13 How can a developer be more product-focused?

11:05 How to practice?

COURSES BY ENGX

👉 AI-supported Software Engineering: https://epa.ms/106cIb

👉 Prompt Engineering Foundations: https://epa.ms/ZQNYn

👉 AI Supported testing: https://epa.ms/1DjKEP

WHERE TO WATCH US AND LISTEN

🔸 YouTube: https://youtu.be/b6Xla-jjoyE

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

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

🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/28

#awclub #engx #productmanagement