Pistoia Alliance Webinars
Thought provoking webinars discussing areas and opportunities where collaboration will advance innovation in R&D
Our webinars bring experts together to discuss and share their thoughts on the key topics and technologies that can advance R&D in our industry and highlight how collaboration can make a difference.
Blockchain technology can revolutionise the way information is exchanged between parties by bringing an unprecedented level of security and trust to these transactions. The technology is finding its way into multiple use cases but we are yet to see full adoption and real-world business implementation in the Healthcare industry.
In this webinar we will explore the main challenges and considerations for the implementation of Blockchain technology in Healthcare use cases. This is the third webinar in our Blockchain Education series.
Our speakers belong to the wide Blockchain community and are responsible for driving innovation in the Life Sciences and Healthcare industries.
This webinar is presented jointly by the Pistoia Alliance and ELIXIR.
The FAIR (Findable, Accessible, Interoperable and Reusable) principles aim to maximize the discovery and reuse of digital resources. Using recently developed software and metrics to assess FAIRness and supported through an ELIXIR Implementation Study, Michel worked with a subset of ELIXIR Core Data Resources to apply these technologies. In this webinar, he will discuss their approach, findings, and lessons learned towards the understanding and promotion of the FAIR principles.
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research focuses on the development of computational methods for scalable and responsible discovery science. Previously at Stanford University, Dr. Dumontier now leads the interfaculty Institute of Data Science at Maastricht University to develop sociotechnological systems for accelerating scientific discovery, improving human health and well-being, and empowering communities with ethical data-driven decision making. He is a principal investigator in the Dutch National Research Agenda, the European Open Science Cloud, the NCATS Biomedical Data Translator, and the NIH Data Commons Pilots. He is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data
Applying AI in a life science and healthcare environment will need to be done with care. Scientists do not trust black boxes for good reasons!
How can we use UX design to build confidence and trust? How can we communicate methodology for data training, testing and validation? What are the ethical considerations of AI?
Our panel of UX specialists gave a brief introduction to User Experience before presenting the design opportunities UX can bring to AI. We all know that AI has great potential but has some significant hurdles to overcome not least so the human aspect of trust and ethical considerations when designing in the life sciences.
This webinar covered the following key aspects: An intro to UX design and the importance of UX design in the context of AI and case studies of how UX is being applied in AI.
Hosted by Paula de Matos (Pistoia Alliance)
Slides from the webinar:
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.
Prof. John Overington, the CIO of the Medicines Discovery Catapult described the AssayNet project and its very far reaching implications.
The historical physical publication of scientific results, paid little attention to aggregation and reuse of data, historically, the extraction from the literature of data was an intensely manual and expert curation led approach, more recently there has been significant interest and developments in information extraction and curation to scale the extraction of facts and numerical data using NLP approaches. The thirst for data though is especially acute now for AI/deep learning approaches, and also for data with lower latency with respect to publication date.
The work presented outlined our historical experience and efforts in over twenty years of building drug discovery information systems, both in the private and public sectors, from the scientific literature and patents. Some of their future plans were presented, building links between data points, from target through to clinical trials. Specifically, the organisation and indexing of data from a bioassay viewpoint, offers a natural view of how drug discovery science is performed.
The slides from the webinar:
Hear our panel of experts from technology support providers and the biopharma industry share their views on the “Benefits and costs of FAIR Implementation for life science industry”.
Hosted by Ian Harrow (Pistoia Alliance). The panellists were:
The slides from the webinar:
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, 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.
Run 10 Dec 2018
Slides available here
The slides from the webinar:
The Pistoia Alliance and the Linked Data Community of Practice hosted a panel discussion describing three implementations of data catalogs in their quest for the FAIR-ification of data.
Hear Erik Schultes from @GOFAIRofficial . (Part of the Linked Data Community of Practice seminar schedule, organized by AstraZeneca) discuss what are the FAIR principles and give examples of their implementation.
With our Centre of Excellence for Artificial Intelligence (AI) in Life Sciences we are bringing together best practice, adoption strategy and hackathons covering a range of challenges.
Pistoia Alliance launched its Centre of Excellence for Artificial Intelligence (AI) in Life Sciences where we hope to bring together best practice, adoption strategy and hackathons covering a range of challenges.
Over the coming months we will be hosting a series of topics and speakers giving their perspectives on the role of Artificial & Augmented Intelligence in Life Sciences and Healthcare.
The topics will cover some of the current challenges, user stories & value in using AI in life sciences. If you want to get involved in this series as a speaker or suggest topics please get in touch
Webinar 1 will focused on the following
A Brief History
The story of Pistoia Alliance’s 2018 hackathon showing how collaboration can rapidly bring new ideas to established problems
The Pistoia Alliance examined the challenges of the Faster Safe Companion Diagnostics (CDx) by Aligning Discovery & Clinical Data in the Regulatory Domain.
We discuss whether the data standards used in the research environment can be aligned better with the data standards used in the regulated environment? If so, the time and cost of the development of NGS-based CDx could be reduced.
In this webinar you will learn what User Experience (UX) is, what value it brings, especially for life sciences and how you can start implementing UX in your organisation. Our illustrious speakers will each tell their own personal stories of UX and how they are effecting change through improved user experience. We will hear about how effective UX can transform research and development in the life sciences. Furthermore the speakers will discuss initiatives to bring UX to the life sciences such as the Pistoia Alliance User Experience toolkit specifically for the R&D life science community.
Beyond BMI: Body Composition Phenotyping in the UK Biobank, in the second of our Real World Data (RWD) webinars, we will examine new techniques that go beyond the standard Body Mass Index, and how large data sets are being mined for meaningful real world applications.
Hear about the Chemistry Safety Library Datathon, how to enter a previous lab incident into the tool and hear about the prizes on offer over the next 2 weeks of the datathon.
The second of two Pistoia Alliance webinars tackling the potential of AI and related technologies for life science and healthcare.
The first of two Pistoia Alliance webinars tackling the potential of AI and related technologies for life science and healthcare.
Recording from the Pistoia Alliance Debates webinar on blockchain.
A video report from the Pistoia Alliance hackathon for machine learning in life science R&D, March 2017