Lex Fridman Podcast

Regina Barzilay: Deep Learning for Cancer Diagnosis and Treatment

Sep 23, 2019

01:17:38

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Quick takeaways

Individual dedication drives adoption of new ideas in AI.

Accessing medical data for AI research in oncology faces challenges.

Machine learning enhances early cancer detection and drug design.

Deep dives

Role of Personalities in Idea Implementation

Regina Barzle discusses how locally, personalities and their devotion to ideas can significantly impact the adoption of new ideas, specifically in fields like AI. This emphasizes that the dedication of individuals can drive the acceptance and implementation of innovative concepts.

Empowerment through Breast Density Awareness

01:44

Understanding Small Molecule Drugs and High Throughput Screening

01:42

Historical Origins of Drug Development

01:01

Belief in Technology's Capabilities

02:00

Introduction

5min

Is Personality More Important Than Ideas?

2min

The Emperor of All Melodies

2min

Computer Science

2min

How Did Breast Cancer Affect You?

5min

Is There a Community of People With Cancer?

2min

Can Machine Learning Cure Cancer?

2min

Is Cancer One of the Diseases That Predicts the Outcomes?

2min

The Role of Machine Learning in Cancer

2min

10.

Regulatory Challenges in Collecting Large Data Sets

2min

11.

Is There a Mechanism to Donate Your Organs?

2min

12.

Is There a Way to Improve Disambiguation?

4min

13.

Is It Possible for Patients to Own Their Data?

2min

14.

The Biggest Players in Health Care?

2min

15.

Breast Cancer - Is Density a Risk?

5min

16.

Alzheimer's - Is There a Simple Solution?

2min

17.

Is There Any Open Problem in the Application of ML to Oncology?

2min

18.

Drug Discovery - What's a Drug?

2min

19.

High Throughput Screening

2min

20.

Is Machine Learning the Most Effective Mechanism?

2min

21.

The Space of Graphs Is a New Space for Machine Learning

2min

22.

Machine Translation and Machine Learning - What's Next?

2min

23.

Is It Okay to Have a Machine Translation System?

3min

24.

How Much of Language Understanding Can Deep Neural Networks Do?

2min

25.

Would You Wanna Have a Conversation Within Your Own Network for an Hour?

3min

26.

Is Machine Learning a Benchmark in Conversation?

2min

27.

Are You at All Excited by the Possibility of Human Level Intelligence?

3min

28.

How Artificial Intelligence Can Affect Us as Humans

3min

29.

Machine Learning: From Algorithms to Modeling

2min

30.

Detection of Cancer Drug Design

3min

31.

The Impossible Question - What's the Meaning of This Thing?

4min

Regina Barzilay is a professor at MIT and a world-class researcher in natural language processing and applications of deep learning to chemistry and oncology, or the use of deep learning for early diagnosis, prevention and treatment of cancer. She has also been recognized for her teaching of several successful AI-related courses at MIT, including the popular Introduction to Machine Learning course. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on iTunes or support it on Patreon.

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Lex Fridman Podcast

Regina Barzilay: Deep Learning for Cancer Diagnosis and Treatment

Podcast summary created with Snipd AI

Quick takeaways

Deep dives

Role of Personalities in Idea Implementation

Challenges in Accessing Medical Data for AI Research

Potential of Machine Learning in Early Cancer Detection

Advancements in Drug Design Using Machine Learning

Challenges in Natural Language Processing and Artificial Intelligence

Empowerment through Breast Density Awareness

Understanding Small Molecule Drugs and High Throughput Screening

Historical Origins of Drug Development

Belief in Technology's Capabilities

Get the Snipd
podcast app

AI-powered
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Lex Fridman Podcast

Regina Barzilay: Deep Learning for Cancer Diagnosis and Treatment

Podcast summary created with Snipd AI

Quick takeaways

Deep dives

Role of Personalities in Idea Implementation

Challenges in Accessing Medical Data for AI Research

Potential of Machine Learning in Early Cancer Detection

Advancements in Drug Design Using Machine Learning

Challenges in Natural Language Processing and Artificial Intelligence

Empowerment through Breast Density Awareness

Understanding Small Molecule Drugs and High Throughput Screening

Historical Origins of Drug Development

Belief in Technology's Capabilities

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Save anymoment

Share& Export

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