Conference: Tuesday 18th April 2023
Evening Networking Reception: Tuesday 18th April 2023
Collaborate to Innovate is the driving theme of the Pistoia Alliance Annual Spring Conference taking place at the Leonardo Royal Hotel London St Paul’s. Through a mixture of plenary presentations, panel discussions, breakout groups, poster presentations and networking activities, the conference will examine the challenges and opportunities for precompetitive collaboration across the biopharma value chain. The conference will also review the status of current and proposed Pistoia Alliance projects that aim to lower barriers to innovation in life science R&D.
Registration is now closed
If you would like further information on the sponsorship opportunities available at the event, please contact firstname.lastname@example.org.
Tuesday 18th April 2023
|09.05||President’s introduction||Becky Upton, President, Pistoia Alliance|
|09.20||Keynote Presentation: Product data management aboard the ship of Theseus
||Gabriel Boronat, Director, Regulatory Information Management, Janssen
|09.50||Introduction to breakout groups||Hall Gregg, Chief Portfolio Officer, Pistoia Alliance|
|10:00|| Keynote Address: A connected data ecosystem for accelerated insights: data42 and beyond
||Achim Plueckebaum, SVP Data42, Novartis|
|10:30||Leveraging Real World Data, ‘Omics Data, and AI for R&D
||Kailash Swarna, Managing Director & Global Leader, Clinical Development, Accenture Life Sciences
|11.50||Partners in R&D Innovation||Leveraging advanced knowledge management to uncover hidden value in R&D proprietary information
Enabling R&D using Data Centric Approaches
13.35 Opening Remarks
Data Strategy in R&D and post marketing
13.40 AI in Pharmacovigilance
13.55 Building the ARC:
GSK is producing more data than ever before. We have new AI/ML use cases, a modern landscape with a myriad of disparate data sources and more complex data restriction rules. Our legacy systems are not built to handle the volume, variety or density of data coming from our assays today. To address this we are developing ARC – a cloud based assay data repository built to flexibly handle petabytes of data with simplified governance and ALCOA+ compliance.
14.10 NLP Use Case: Enterprise biomedical NER and linking with Kazu
14.30 FAIR Benchmarking
AI-driven drug discovery: Bringing together modern architecture, infrastructure and data strategies for success
13.35 Opening Remarks
Reducing the Carbon Footprint of Clinical Trials
13.40 : Towards greener healthcare: The power of partnership
13.55 : Joining the dots and trade offs for sustainability in Bayer pharma R&D
14.10 : ESG trends hitting biopharmaceutical R&D James Man Managing Director R&D Advisory, Syneos Health
14.25 Planet Health is Human Health: how decentralized trials can make clinical research more patient and earth friendly Michael Cohen, Senior Director Strategy & Innovation, PPD
14.40 The Sustainable Clinical Trial Future
14:55 Panel Session: The Pistoia Alliance Project – Carbon Footprint of Clinical Trials
IDMP Ontology Project
13.35 Opening Remarks
13:40 IDMP Ontology – Overview of Phase 2
14:00 What IDMP can do for you today?
Demo of key use cases
14.40 Vitality TechNet Presentation
|15.45||Diversity & Inclusivity Panel||Anca Ciobanu, Consultant, Pistoia Alliance|
|16.30||Partners in R&D Innovation||New from CDD: Bioassay Protocol Registration and PharmaKB a Pharmaceutical KnowledgeBase|
|16.45||Panel Discussion: Shaping the Future of AI in R&D – Opportunities for Precompetitive Collaboration
With pioneering techniques contributing towards ultra-large datasets, and the increased availability of high-performance compute environments, new technologies are being used to power novel discoveries and provide smarter therapeutics.
We aim to explore new ways in which AI can improve the drug discovery and development process, examining limitations in its application, highlighting ethical considerations, and discussing the potential for collaboration within the industry to tackle some of our most critical challenges.
Cancellation policy and registrant no shows
- Members can cancel their registration with no penalty up until 17.30 Eastern Standard Time, Tuesday 4th April 2023.
- NOTE: Although there is no fee to attend this event, Members who cancel their registration after this date will be subject to a cancellation fee of $200.
- NOTE: Members who register but fail to inform us of their non-attendance and do not attend will be subject to a cancellation fee of $200.
- The contact address for cancellations is: email@example.com