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Genomics, Imaging and AI - Ewan Birney
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January 10, 2023 - The National Human Genome Research Institute (NHGRI) hosts a seminar, "Genomics, Imaging and AI - three technologies that are changing biological research through to clinical practice."
Over the last two decades, three major technologies have developed as the bedrock of how we understand living systems: genomics, including nucleic acid-based molecular biology readouts; imaging from near-atomic resolution to whole organism structures; and machine learning, including the large and non-linear architectures of Artificial Intelligence (AI).
Dr. Ewan Birney provides a brief tour of this technology development, using examples from the European Molecular Biology Laboratory (EMBL) and touches on both fundamental biological discoveries and clinical applications. Lastly, he provides perspective for the future of these technologies with their impressive opportunities, the landscape of data and skills needed to actualize them and some potential pitfalls to avoid.
Chapters:
0:00 - Introduction (Eric Green)
4:35 - Opening Remarks (Ewan Birney)
5:39 - About the European Molecular Biology Laboratory (EMBL)
6:55 - Current challenge in life sciences
7:49 - Understanding biology: same approach since the 1960s!
9:29 - Successive technology innovation
13:09 - Axes of improvement
16:25 - What has this enabled?
18:43 - Scientific services: Imaging across scales
21:38 - Three examples of new imaging modalities
25:15 - AI / Machine Learning
27:09 - Deep Learning
28:41 - Key elements for AI
30:37 - "Labelling" deep learning
35:06 - AlphaFold: accelerating scientific discovery in protein folding
38:49 - Deep learning by alternative maths infrastructure
41:38 - Open, organised fundamental biomolecular data
43:21 - Data resources at EMBL-EBI
44:13 - Global BioData Coalition
45:13 - Secondary use of genomics and imaging from Healthcare
46:45 - Computing environments: hardware (GPUs) with optimised data access
48:14 - Global Alliance for Genomics and Health (GA4GH)
48:55 - GA4GH in a Global Learning Health System
49:17 - Evolving the workforce
53:35 - Example 1 basic research ; The Nuclear Pore
54:46 - Example 2 Clinical operations
58:47 - Examples of profound changes in outcome
1:00:49 - Questions and Answers
Over the last two decades, three major technologies have developed as the bedrock of how we understand living systems: genomics, including nucleic acid-based molecular biology readouts; imaging from near-atomic resolution to whole organism structures; and machine learning, including the large and non-linear architectures of Artificial Intelligence (AI).
Dr. Ewan Birney provides a brief tour of this technology development, using examples from the European Molecular Biology Laboratory (EMBL) and touches on both fundamental biological discoveries and clinical applications. Lastly, he provides perspective for the future of these technologies with their impressive opportunities, the landscape of data and skills needed to actualize them and some potential pitfalls to avoid.
Chapters:
0:00 - Introduction (Eric Green)
4:35 - Opening Remarks (Ewan Birney)
5:39 - About the European Molecular Biology Laboratory (EMBL)
6:55 - Current challenge in life sciences
7:49 - Understanding biology: same approach since the 1960s!
9:29 - Successive technology innovation
13:09 - Axes of improvement
16:25 - What has this enabled?
18:43 - Scientific services: Imaging across scales
21:38 - Three examples of new imaging modalities
25:15 - AI / Machine Learning
27:09 - Deep Learning
28:41 - Key elements for AI
30:37 - "Labelling" deep learning
35:06 - AlphaFold: accelerating scientific discovery in protein folding
38:49 - Deep learning by alternative maths infrastructure
41:38 - Open, organised fundamental biomolecular data
43:21 - Data resources at EMBL-EBI
44:13 - Global BioData Coalition
45:13 - Secondary use of genomics and imaging from Healthcare
46:45 - Computing environments: hardware (GPUs) with optimised data access
48:14 - Global Alliance for Genomics and Health (GA4GH)
48:55 - GA4GH in a Global Learning Health System
49:17 - Evolving the workforce
53:35 - Example 1 basic research ; The Nuclear Pore
54:46 - Example 2 Clinical operations
58:47 - Examples of profound changes in outcome
1:00:49 - Questions and Answers
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