Announcement: Due to unforeseen circumstances, ConTech Pharma 2023 will not be going ahead on June 8th. We are working hard to determine next steps and will provide more information soon.
To be kept informed of future developments,
register your interest here:
Another hype-cycle is born around generative AI and the ChatGPT models. The same truths apply, if not more so, rubbish in gives rubbish out. This is something that we cannot countenance in Medicine and Drug Development.
As we look at patient first approaches of developing medicines using AI and Data Driven techniques, it is in the areas of intersection between real-world data, pre-clinical and clinical data that challenges and opportunities arise and challenges are overcome.
Come and hear how the world’s best minds in data science, digital healthcare and precision drug development are thinking about these challenges and taking effective action.
ConTech Pharma 2023 will be a 1-day hybrid event, taking place both online and at the Sheraton Skyline Hotel, London Heathrow. It will showcase the very latest thinking and help organisations to understand how these changes will affect them.
ConTech Pharma 2023 is focused on three main themes:
A virtuous circle – from real world data – via pre-clinical data - to analytics – and back to treatments in the clinic (inc manufacturing)
Aligning the semantics across clinical and pre-clinical applications
IDMP – Standards – knowledge sharing ahead of standards coming in to operation
Participants include the pharma and digital healthcare content pioneers who are already seeing the benefits of using data science, the data science visionaries who are building new content tools and those who understand how to start applying data science to their work.
If you are a publisher, content strategist or curator, R & D scientist, pharma or digital healthcare professional and this resonates it’s time to get involved with this event, whether it’s as a speaker or delegate.
Registration, refreshments (onsite) and networking
Jane Lomax, Head of Ontologies, SciBite, & Board Member, Pistoia Alliance
Overview of the life-science relevant ontological space
Becky Upton, President, Pistoia Alliance
The Pistoia Alliance - an update on current work, future plans and its portfolio of FAIR projects
Sheila Elz, Master Data Manager, Bayer AG Pharmaceuticals
Semantic interoperability throughout the entire medicinal product lifecycle with IDMP Ontology
Catherine Snow, Curation Team Leader, Genomics England
Consensus on knowledge, drives equity in genomic testing at a national level
Lunch and networking
Helen Malone, Director of Information Architecture, BenevolentAI
Data Management Framework: Supporting Data on its Journey in an AI-Enabled Drug Discovery Company
Ashley George, Professor, Tech For Good
In 1834, “Water, Water everywhere, nor any drop to drink”. In 2023, Digital Transformation Everywhere, ...? How would you finish the rhyme?
Andrea Splendiani, Principal (Ontologies and Metadata) IQVIA
A pragmatic view on ontologies (or two)
Eric Little Industry Innovation Principle Director – Head of Strategy & Analytics Accenture Life Sciences
Unlocking the Value of Clinical Trial Data for Improved Decision-making
Break and networking
Sabrina Toro, Assistant Research Professor, University of Colorado Anschutz Medical Campus
Mondo Disease Ontology: Building a Community-based Disease Resource
Mathew Woodwark, Head of Data, Infrastructure and Tools, Data Science and AI, AstraZeneca
FAIR Data: Its all fun and games until someone uses a “I”.
Sami Benchekroun, Co-Founder and CEO, Morressier
How early-stage research data can predict the future of science
Hans Constandt, Advisor, Mentor, Expert in Digital Health Giovanni Nisato, Pistoia FAIR data group
The ROI of FAIR (explained with some examples).