AI brings hope for disrupting drug discovery. Also, it brings a lot of hype, as if no lessons were learnt from previous winters in both AI and computer-assisted drug discovery.
In this meeting, we will discuss these hopes and hypes.
The Royale is a suitable place for this discussion, located at the heart of San Francisco, a major hub in both AI and biotech research.
I blogged about specific examples of hype here:
“AI in drug discovery is overhyped: examples from AstraZeneca, Harvard, Stanford and Insilico Medicine ” https://medium.com/the-ai-lab/artificial-intelligence-in-drug-discovery-is-overhyped-examples-from-astrazeneca-harvard-315d69a7f863
(this post was covered by Pharma blogger Derek Lowe: https://blogs.sciencemag.org/pipeline/archives/2018/01/10/objections-to-some-drug-discovery-ai)
"MIT paper in machine learning for drug discovery at ICML 2018: very incomplete"
https://medium.com/the-ai-lab/mit-paper-in-ai-for-drug-discovery-at-icml-2018-very-incomplete-a0ba9fd39853
"You didn’t need deep learning to generate new molecules"
https://medium.com/the-ai-lab/you-didnt-need-deep-learning-to-generate-new-molecules-4c784747b2cc
We will also discuss practical solutions to this hype problem.
The meeting is free and open to everyone.
Organizer: Mostapha Benhenda, PhD, blogger and data scientist, founder of Startcrowd, online AI lab https://www.startcrowd.club
show less
In this meeting, we will discuss these hopes and hypes.
The Royale is a suitable place for this discussion, located at the heart of San Francisco, a major hub in both AI and biotech research.
I blogged about specific examples of hype here:
“AI in drug discovery is overhyped: examples from AstraZeneca, Harvard, Stanford and Insilico Medicine ” https://medium.com/the-ai-lab/artificial-intelligence-in-drug-discovery-is-overhyped-examples-from-astrazeneca-harvard-315d69a7f863
(this post was covered by Pharma blogger Derek Lowe: https://blogs.sciencemag.org/pipeline/archives/2018/01/10/objections-to-some-drug-discovery-ai)
"MIT paper in machine learning for drug discovery at ICML 2018: very incomplete"
https://medium.com/the-ai-lab/mit-paper-in-ai-for-drug-discovery-at-icml-2018-very-incomplete-a0ba9fd39853
"You didn’t need deep learning to generate new molecules"
https://medium.com/the-ai-lab/you-didnt-need-deep-learning-to-generate-new-molecules-4c784747b2cc
We will also discuss practical solutions to this hype problem.
The meeting is free and open to everyone.
Organizer: Mostapha Benhenda, PhD, blogger and data scientist, founder of Startcrowd, online AI lab https://www.startcrowd.club
AI brings hope for disrupting drug discovery. Also, it brings a lot of hype, as if no lessons were learnt from previous winters in both AI and computer-assisted drug discovery.
In this meeting, we will discuss these hopes and hypes.
The Royale is a suitable place for this discussion, located at the heart of San Francisco, a major hub in both AI and biotech research.
I blogged about specific examples of hype here:
“AI in drug discovery is overhyped: examples from AstraZeneca, Harvard, Stanford and Insilico Medicine ” https://medium.com/the-ai-lab/artificial-intelligence-in-drug-discovery-is-overhyped-examples-from-astrazeneca-harvard-315d69a7f863
(this post was covered by Pharma blogger Derek Lowe: https://blogs.sciencemag.org/pipeline/archives/2018/01/10/objections-to-some-drug-discovery-ai)
"MIT paper in machine learning for drug discovery at ICML 2018: very incomplete"
https://medium.com/the-ai-lab/mit-paper-in-ai-for-drug-discovery-at-icml-2018-very-incomplete-a0ba9fd39853
"You didn’t need deep learning to generate new molecules"
https://medium.com/the-ai-lab/you-didnt-need-deep-learning-to-generate-new-molecules-4c784747b2cc
We will also discuss practical solutions to this hype problem.
The meeting is free and open to everyone.
Organizer: Mostapha Benhenda, PhD, blogger and data scientist, founder of Startcrowd, online AI lab https://www.startcrowd.club
read more
In this meeting, we will discuss these hopes and hypes.
The Royale is a suitable place for this discussion, located at the heart of San Francisco, a major hub in both AI and biotech research.
I blogged about specific examples of hype here:
“AI in drug discovery is overhyped: examples from AstraZeneca, Harvard, Stanford and Insilico Medicine ” https://medium.com/the-ai-lab/artificial-intelligence-in-drug-discovery-is-overhyped-examples-from-astrazeneca-harvard-315d69a7f863
(this post was covered by Pharma blogger Derek Lowe: https://blogs.sciencemag.org/pipeline/archives/2018/01/10/objections-to-some-drug-discovery-ai)
"MIT paper in machine learning for drug discovery at ICML 2018: very incomplete"
https://medium.com/the-ai-lab/mit-paper-in-ai-for-drug-discovery-at-icml-2018-very-incomplete-a0ba9fd39853
"You didn’t need deep learning to generate new molecules"
https://medium.com/the-ai-lab/you-didnt-need-deep-learning-to-generate-new-molecules-4c784747b2cc
We will also discuss practical solutions to this hype problem.
The meeting is free and open to everyone.
Organizer: Mostapha Benhenda, PhD, blogger and data scientist, founder of Startcrowd, online AI lab https://www.startcrowd.club
show less
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800 Post Street, San Francisco, CA 94109
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