Formulation 4.0 (2024) continues the story of bringing digital to all aspect of formulation and looks at how Industry 4.0 is changing the formulation industry.  New date 26th July 2024.

Seemingly overnight, the digital world has begun to merge with the physical, as we find ourselves amidst the fourth industrial revolution. Ubiquitous, fast data processing is unlocking more autonomous robots and ever-smarter automation that paves the way for a cleaner, brighter future. AI is already disrupting the ways we work, live and play - as 100 million ChatGPT users can testify. So what will happen when this revolution collides with Formulation? And how do formulators and manufacturers prepare themselves to step into this new frontier?  For the third time, FST will hold its Formulation 4.0 (2024) event to try to address these questions.

Topics Include: Digitisation * Automation and autonomous discovery * Data analytics and data management * AI and Machine learning * Virtual experiments (computer simulation and modelling) * Industry 4.0’s digital twin

Submit Your Abstract for Posters:    pThis email address is being protected from spambots. You need JavaScript enabled to view it. 

Programme:

• 0915 Registration, Teas/Coffee
• 1000 Lab Book Digitisation and FAIRification.  Sam Munday, Data Revival, UK
• 1030 Process Digitisation. Carlota Mendez Torrecillas, CMAC / Uni of Strathclyde, UK
• 1100 Towards closed-loop automation of pharmaceutical formulations. Michael Cook and David Shorthouse, UCL School of Pharmacy, UK
• 1130 Break
• 1200 Digitalisation of Pharmaceutical Product Development with physics-based multiscale models. Charley Wu, University of Surrey, UK
• 1230 Building, validating and deploying models in production environments. Jose Videira, Synbiosys, UK
• 1300-1400 Lunch
• 1400 AI assisted development of lipid nanoparticles for RNA therapeutics. Nima Hojat,  CPI (Centre for Process Innovation), UK
• 1430 Mechanistic modeling of modular co-rotating twin-screw extruders. Martin Lubej,  Novartis Basel Switzerland
• 1500 Break
• 1530 On the AI driven geometry optimisation of a stirred tank CFD model in laminar flow. Roberto Hart-Villamil, University of Birmingham, UK
• 1600 Use AI to Analyse Formulations of Successfully New Product Launches.  Ms Karen Ho,  Gravel AI, UK
• 1630-1730 Farewell reception 

• Development of a finite element model for predicting probiotic viability during tabletting​. Bide Wang, University of Surrey.
• Use AI to Analyse Formulations of Successfully New Product Launches.  Ms Karen Ho, Gravel AI.
• The Impact of Flow Function and Bulk Properties on Critical Filling Velocity in Rotary Die Filling. Nicolo Fasoli, University of Surrey
• Tackling Data Scarcity Challenge through Active Learning for Pharmaceutical Process Modelling.  Fanjin Wang, UCL, UK
• Rational nanomedicine In vitro release test development via machine learning approaches.  Daniel Yanes, University of Nottingham, UK.