Super Data Science: ML & AI Podcast with Jon Krohn

643: A.I. for Medicine

Jan 10, 2023
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Episode notes
1
Introduction
00:00 • 3min
2
The Super Data Science Podcast - Charlotte Dean
02:31 • 3min
3
Using Genetic Information to Find Drug Candidates
05:12 • 5min
4
Is There an Easy Way to Explain a Loss Function?
09:48 • 3min
5
Do Antibiotics Form by a Single Strand of Amino Acids?
13:12 • 2min
6
Antibodies and Antigens in the Human Body
15:14 • 4min
7
How Do Antibodies Work?
18:52 • 2min
8
Is Your Immune System Really Complicated?
20:49 • 2min
9
How Long Does Your Immune System Last?
22:25 • 2min
10
Antibodies
24:16 • 2min
11
Is There a Future for Biomarkers?
26:34 • 2min
12
Is It Possible to Make Small Molecules via IV?
28:27 • 2min
13
The Best Machine Learning Course - Machine Learning in Python Level One
30:34 • 3min
14
Identifying Biologic Drug Candidate Using Machine Learning and AI
33:48 • 3min
15
I Don't Like the Phrase of Solving the Protein Folding Problem
36:47 • 5min
16
Antibodies
41:40 • 2min
17
Predicting 3D Protein Structure
43:17 • 3min
18
DeepMind - The Biggest Problem in Machine Learning
46:28 • 2min
19
Are You Using a Hammer Right Now?
48:33 • 2min
20
Is There a Future for Computational Algorithms?
50:23 • 3min
21
COVID-19 - What's Your Story?
53:04 • 3min
22
The UKRI Response to the COVID Pandemic
56:28 • 3min
23
The Computer Says No, That's a Comedy Show
59:28 • 2min
24
Epidemiological Modeling of Cholera
01:01:03 • 2min
25
What Are Some of the Biggest Trends in Deep Learning Methods?
01:02:36 • 2min
26
Is There a Boring Baseline in Machine Learning?
01:04:40 • 3min
27
Can AI in Structural Bioinformatics Help Predict Aliens?
01:08:00 • 3min
28
Do Social Activities Help With Scientific Findings?
01:11:18 • 2min
29
Book Review - Lessons in Chemistry by Jonathan Flint
01:13:30 • 3min
30
Follow the Opiglets on Twitter and LinkedIn
01:16:14 • 2min
31
Super Data Science Podcast
01:17:50 • 3min