Data quality supporting AI in Life Sciences webinar 10 dec 2018

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Pistoia Alliance

Data Quality is at the heart of AI/ML and is one of the key challenges we face in Life Sciences to make AI a success.

30 November, 2018
Data Quality in Machine
Learning & Artificial Intelligence
Pistoia Alliance Centre of Excellence for AI in Life Sciences & Health
Moderator: Vladimir Makarov
10 December 2018

This webinar is being recorded

©PistoiaAlliance
330 November, 2018
Questions Welcome

©PistoiaAlliance
Data Quality in Machine Learning and
Artificial Intelligence
430 November, 2018
• Introductions and overviews
– Pistoia Alliance Centre of Excellence for AI in Life Sciences
and Health
– Our panelists today
• Panel Discussion
• Wrap-up and next meetings
– London AI Workshop 12 March 2019

©PistoiaAlliance
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©PistoiaAlliance
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©PistoiaAlliance
Introduction to Today’s Speakers
Terry Stouch,
Science for Solutions
Jamie Powers,
Cambridge Semantics
Isabella Feierberg,
Astra Zeneca
Jabe Wilson,
Elsevier
Sirarat Sarntivijai,
ELIXIR

©PistoiaAlliance
• Define “data quality” - FAIR? Open? Shareable? What
are metrics for FAIR-ness of data? How accurate are
metadata?
– How to measure data quality?
– Would a standard set of data quality dimensions (e.g. Completeness,
Accuracy, Consistency, Validity, Uniqueness, Timeliness) benefit the
lifesciences industry?
• Discuss metadata standards, as-is and to-be
• How high level of quality is needed at specific points of
research work cycle?
– Various models in AI are more or less sensitive to outliers, missing
values, etc

©PistoiaAlliance
Additional Questions Sent In Earlier
12
• How to use AI to measure or improve the quality of data?
• What are the top application areas of AI in life science
where improving data quality would help?
• Rather than improving data quality, what about focusing AI
efforts on data that is known to be of high quality? ... where
would this direct us?
• What are some real examples of how someone improved
the quality of data for AI which lead to important results?
• Does the industry and regulator focus on Data Integrity and
ALCOA+, which is focused on primary use of data, hinder
or support data quality initiatives?

AI/ML London Workshop
12 March 2019
Registrations are now open for the London workshop,
with speakers from Pharma, Biotech and Research
Organisations
https://www.pistoiaalliance.org/ - more details

Upcoming Pistoia Alliance
Webinar
Knowledge Graphs for Pharma: A perspective from
the PhUSE Project 'Clinical Trials Data as RDF'
Date/Time: January 24th, 2019 11am ET/4pmGMT/5pm
CET
Speaker: Tim Williams (UCB and PhUSE)

info@pistoiaalliance.org @pistoiaalliance www.pistoiaalliance.or
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Implementing Blockchain applications in healthcare

Pistoia Alliance

Building trust and accountability - the role User Experience design can play ...

Building trust and accountability - the role User Experience design can play ...

Building trust and accountability - the role User Experience design can play ...

Pistoia Alliance

In the late Fall and Winter of 2018, the Pistoia Alliance in cooperation with Elsevier and charitable organizations Cures within Reach and Mission: Cure ran a datathon aiming to find drugs suitable for treatment of childhood chronic pancreatitis, a rare disease that causes extreme suffering. The datathon resulted in identification of four candidate compounds in a short time frame of just under three months. In this webinar our speakers discuss the technologies that made this leap possible

Pistoia Alliance-Elsevier Datathon

Pistoia Alliance-Elsevier Datathon

Pistoia Alliance-Elsevier Datathon

Pistoia Alliance

Data for AI models, the past, the present, the future

Data for AI models, the past, the present, the future

Data for AI models, the past, the present, the future

Pistoia Alliance

Creating novel drugs is an extraordinarily hard and complex problem. One of the many challenges in drug design is the sheer size of the search space for novel chemical compounds. Scientists need to find molecules that are active toward a biological target or pathway and at the same time have acceptable ADMET properties. There is now considerable research going on using various AI and ML approaches to tackle these challenges. Our distinguished speakers, Drs. Alex Tropsha and Ola Engkvist, will discuss their recent work in Drug Design involving Deep Reinforcement Learning and Neural Networks, and will answer questions from the audience on the current state of the research in the field. Speakers: Prof Alex Tropsha, Professor at University of North Carolina at Chapel Hill, USA Dr. Ola Engkvist, Associate Director at AstraZeneca R&D, Gothenburg, Sweden

AI & ML in Drug Design: Pistoia Alliance CoE

AI & ML in Drug Design: Pistoia Alliance CoE

AI & ML in Drug Design: Pistoia Alliance CoE

Pistoia Alliance

Ai in drug design webinar 26 feb 2019

Ai in drug design webinar 26 feb 2019

Ai in drug design webinar 26 feb 2019

Pistoia Alliance

The slides from thecontinuing part of Pistoia Alliance's drive to improve education and communication around new technologies to life science professionals, this webinar explored how blockchain/DLT and IoT could come together to add even more trust to the GxP domain. If you want to know more about how these new technologies could help enhance GxP compliance, then this webinar will give you much food for thought.

Blockchain and IOT and the GxP Lab Slides

Blockchain and IOT and the GxP Lab Slides

Blockchain and IOT and the GxP Lab Slides

Pistoia Alliance

Knowledge Graphs for Pharma PA Slideshow

Knowledge Graphs for Pharma PA Slideshow

Knowledge Graphs for Pharma PA Slideshow

Pistoia Alliance

Multiple groups in the life sciences community have started their journey towards data FAIR-ification by implementing Data Catalogs, a clear first step towards Finding your data. While in many cases the approaches are quite similar, in both origin and intent, differing implementations could end up hampering interoperability and reuse. The Pistoia Alliance and the Linked Data Community of Practice hosted a panel discussion describing at three implementations and their downstream goals: [1] Pharma cross-omics data catalogs, [2] Clinical data catalogs [3] Bioschemas for dataset discoverability on the inter/intranet

Pistoia alliance harmonizing fair data catalog approaches webinar

Pistoia alliance harmonizing fair data catalog approaches webinar

Pistoia alliance harmonizing fair data catalog approaches webinar

Pistoia Alliance

Pistoia Alliance datathon for drug repurposing for rare diseases

Pistoia Alliance datathon for drug repurposing for rare diseases

Pistoia Alliance datathon for drug repurposing for rare diseases

Pistoia Alliance

blockchain-introduction-pistoia-alliance

blockchain-introduction-pistoia-alliance

blockchain-introduction-pistoia-alliance

Pistoia Alliance

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Fairification experience clarifying the semantics of data matrices

Fairification experience clarifying the semantics of data matrices

Fairification experience clarifying the semantics of data matrices

MPS webinar master deck

MPS webinar master deck

MPS webinar master deck

Digital webinar master deck final

Digital webinar master deck final

Digital webinar master deck final

Heartificial intelligence - claudio-mirti

Heartificial intelligence - claudio-mirti

Heartificial intelligence - claudio-mirti

Knowledge graphs ilaria maresi the hyve 23apr2020

Knowledge graphs ilaria maresi the hyve 23apr2020

Knowledge graphs ilaria maresi the hyve 23apr2020

2020.04.07 automated molecular design and the bradshaw platform webinar

2020.04.07 automated molecular design and the bradshaw platform webinar

2020.04.07 automated molecular design and the bradshaw platform webinar

AI in translational medicine webinar

AI in translational medicine webinar

AI in translational medicine webinar

CEDAR work bench for metadata management

CEDAR work bench for metadata management

CEDAR work bench for metadata management

Open interoperability standards, tools and services at EMBL-EBI

Open interoperability standards, tools and services at EMBL-EBI

Open interoperability standards, tools and services at EMBL-EBI

Implementing Blockchain applications in healthcare

Implementing Blockchain applications in healthcare

Implementing Blockchain applications in healthcare

Building trust and accountability - the role User Experience design can play ...

Building trust and accountability - the role User Experience design can play ...

Building trust and accountability - the role User Experience design can play ...

Pistoia Alliance-Elsevier Datathon

Pistoia Alliance-Elsevier Datathon

Pistoia Alliance-Elsevier Datathon

Data for AI models, the past, the present, the future

Data for AI models, the past, the present, the future

Data for AI models, the past, the present, the future

AI & ML in Drug Design: Pistoia Alliance CoE

AI & ML in Drug Design: Pistoia Alliance CoE

AI & ML in Drug Design: Pistoia Alliance CoE

Ai in drug design webinar 26 feb 2019

Ai in drug design webinar 26 feb 2019

Ai in drug design webinar 26 feb 2019

Blockchain and IOT and the GxP Lab Slides

Blockchain and IOT and the GxP Lab Slides

Blockchain and IOT and the GxP Lab Slides

Knowledge Graphs for Pharma PA Slideshow

Knowledge Graphs for Pharma PA Slideshow

Knowledge Graphs for Pharma PA Slideshow

Pistoia alliance harmonizing fair data catalog approaches webinar

Pistoia alliance harmonizing fair data catalog approaches webinar

Pistoia alliance harmonizing fair data catalog approaches webinar

Pistoia Alliance datathon for drug repurposing for rare diseases

Pistoia Alliance datathon for drug repurposing for rare diseases

Pistoia Alliance datathon for drug repurposing for rare diseases

blockchain-introduction-pistoia-alliance

blockchain-introduction-pistoia-alliance

blockchain-introduction-pistoia-alliance

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Data quality supporting AI in Life Sciences webinar 10 dec 2018

1. 30 November, 2018 Data Quality in Machine Learning & Artificial Intelligence Pistoia Alliance Centre of Excellence for AI in Life Sciences & Health Moderator: Vladimir Makarov 10 December 2018

2. This webinar is being recorded

3. ©PistoiaAlliance 330 November, 2018 Questions Welcome

4. ©PistoiaAlliance Data Quality in Machine Learning and Artificial Intelligence 430 November, 2018 • Introductions and overviews – Pistoia Alliance Centre of Excellence for AI in Life Sciences and Health – Our panelists today • Panel Discussion • Wrap-up and next meetings – London AI Workshop 12 March 2019

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10. ©PistoiaAlliance Introduction to Today’s Speakers Terry Stouch, Science for Solutions Jamie Powers, Cambridge Semantics Isabella Feierberg, Astra Zeneca Jabe Wilson, Elsevier Sirarat Sarntivijai, ELIXIR

11. ©PistoiaAlliance • Define “data quality” - FAIR? Open? Shareable? What are metrics for FAIR-ness of data? How accurate are metadata? – How to measure data quality? – Would a standard set of data quality dimensions (e.g. Completeness, Accuracy, Consistency, Validity, Uniqueness, Timeliness) benefit the lifesciences industry? • Discuss metadata standards, as-is and to-be • How high level of quality is needed at specific points of research work cycle? – Various models in AI are more or less sensitive to outliers, missing values, etc

12. ©PistoiaAlliance Additional Questions Sent In Earlier 12 • How to use AI to measure or improve the quality of data? • What are the top application areas of AI in life science where improving data quality would help? • Rather than improving data quality, what about focusing AI efforts on data that is known to be of high quality? ... where would this direct us? • What are some real examples of how someone improved the quality of data for AI which lead to important results? • Does the industry and regulator focus on Data Integrity and ALCOA+, which is focused on primary use of data, hinder or support data quality initiatives?

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15. AI/ML London Workshop 12 March 2019 Registrations are now open for the London workshop, with speakers from Pharma, Biotech and Research Organisations https://www.pistoiaalliance.org/ - more details

16. Upcoming Pistoia Alliance Webinar Knowledge Graphs for Pharma: A perspective from the PhUSE Project 'Clinical Trials Data as RDF' Date/Time: January 24th, 2019 11am ET/4pmGMT/5pm CET Speaker: Tim Williams (UCB and PhUSE)

17. info@pistoiaalliance.org @pistoiaalliance www.pistoiaalliance.or g Thank You