We Hi
This month at the Pistoia Alliance’s Centre of Excellence for AI/ML in Life Sciences are finalizing plans for the Workshop in Boston on 9 Oct (day prior to our main conference in Boston) and are announcing the upcoming Datathon and webinars in the Fall of 2018.
Boston AL and ML Workshop Update:
- This event is very popular with over 90 attendees, but we are still adding participants to the waitlist. Sign up to attend.
- Hear presentations & panels from over 20 industry leaders including Pfizer, Novartis, AstraZeneca, Shire and many others.
- We expect the workshop to be highly interactive:
o Ask questions from panelists on the current key topics in AI/ML for Life Sciences: best practices in data management, data science algorithms, and use cases in AI in drug discovery, and the lessons learned in practice.
o Take part in all-hands brainstorming session.
o Network and share best practice with your peers from life sciences in “Birds of the Feather” discussion during lunch and breaks.
o Discuss the training and retraining needs as Life Science adopts AI - what do we need to do next
More details on the Boston Workshop
Datathon:
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we are planning the future activities at the Centre.
Webinars
We are actively planning a new web Panel on Data Quality in AI and ML.
- Date and time: December 10th, Monday, at 11 am EST (8 am Pacific or 4 pm BST)
- Duration: 1 Based on our face-to-face panel discussions in October we expect that this event will be highly interactive
- Panel members are:
- Terry Stouch, Science for Solutions
- Isabella Feierberg, AstraZeneca
- Jamie Powers, Cambridge Semantics
- Sirarat Sarntivijai, ELIXIR EU
- Jabe Wilson, Elsevier
- Some opening questions for our panelists could be:
- Define “data quality” - FAIR? Open? Shareable? What are metrics for FAIR-ness of data? How accurate are metadata?
- 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
- But of course, the scope of the panel discussion is not limited by these! You will be able to raise questions during the webinar. You are also welcome to send your questions in ahead of the event using the web form below.
- Plans for the future webinars - welcome ideas for 2019 and beyond
- Catch up with recordings of our earlier webinars including the most recent Maximizing Value from Healthcare Data Using Machine Learning in collaboration with the PRISMe Forum
AI and ML Spring Workshop in London, UK, March 2019
The Workshop will be held on 12 March 2019 in conjunction with the Pistoia Alliance Spring 2019 conference, at Hilton Paddington in London. We are actively brainstorming themes and discussion topics for the Workshop, and are inviting your contributions. Some ideas under development are:
- Regulatory landscape for medical products that use AI/ML in the US, UK, and the EU.
- Use cases for AI in sequence, structure optimization, generative drug design, property prediction.
- Open-source toolkits and commercial systems for AI implementation: which ones are better suited for various problem categories?
Are you thinking of any other hot topic in biotechnology or pharma AI? Please contribute additional ideas.
Propose more themes for the 2019 Spring AI Workshop
We are also opening a call for speakers, panel discussions, and poster presentations at the Workshop. If you wish to present at the Spring event, please sign up right away using the link below.
Sign-up to present at the 2019 Spring AI Workshop
Datathon Update:
- We are running a datathon in collaboration with Elsevier and Cures Within Reach in October and November
- Help cure rare diseases and win awards!
- Scientific challenges: predict likely drug candidates, any possible side effects (adverse events) and any drug-drug interactions that might arise from treating comorbidities
- Launch will be 1 Oct 2018 with follow up at the Boston workshop, followed with a webinars on the approach
- Introductory & launch Webinar 1 Oct 2018. Register for launch
- More details to follow
Please contact us for more information
Webinar Updates:
- Upcoming talk: Maximizing Value from Healthcare Data Using Machine Learning in collaboration with the PRISMe Forum on Oct 18th – sign up to attend – note date change from Sept to Oct
- Plans for the future webinars - welcome ideas for autumn series
- This summer we conducted two webinars as Intros to ML and AI, and demystifying key issues. Catch up with these recordings
Future emerging projects aligned to AI & data
- Imaging and QC of clinical images - interest from GSK and Bayer. Working up idea
- Crowding source bioassay annotation using FAIR approaches and BAO ontology
Please join the interest group for these as we work up idea and test out the business case
Welcome to submit your own ideas
Pistoia Alliance AI and ML CoE is growing
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- Due to scheduling issues the time period allocated for the datathon has been extended to December 31st
- Winners will be announced at the Spring Pistoia Alliance conference in London in March
Recent Publications of Interest
- Ethics in AI: Rabbi Jonathan Sacks explores how we should respond to the ways in which AI is transforming our world https://www.bbc.co.uk/sounds/play/b0bgrw3k
- What it means to open AI’s black box? http://usblogs.pwc.com/emerging-technology/to-open-ai-black-box/
- Drug Discovery Maps, a Machine Learning Model That Visualizes and Predicts Kinome–Inhibitor Interaction Landscapes https://pubs.acs.org/doi/full/10.1021/acs.jcim.8b00640
- Tuning artificial intelligence on the de novo design of natural-product-inspired retinoid X receptor modulators https://www.nature.com/articles/s42004-018-0068-1
- Artificial intelligence and its potential in oncology https://doi.org/10.1016/j.artmed.2018.08.008
- Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review, by Bernal, J., Artificial Intelligence In Medicine,
Transforming Computational Drug Discovery with Machine Learning and AI ACS Med. Chem. Lett. 2018, 9, 11, 1065-1069
Community area and details
How you can contribute right now:
- Come to our Boston Workshop on 9 Oct 2018
- What public datasets would be valuable going forward?
- What projects should the CoE focus on?Can you supply additional data mining, quality improvement, community development project ideas? Please visit out idea brainstorming center at https://ip3.pistoiaalliance.org/
- Propose ideas for future webinars?
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- Volunteer to be a speaker or a discussion panel member at our next event in London in the Spring of 2018.
As always please get in touch with questions or ideas
Best wishesVladimir and Nick