Formulation 40 2024

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.   

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

 Programme.

Sam

1000-1030

Lab Book Digitisation and FAIRification.  Sam Munday, Data Revival, UK

Carlota

1030-1100

Process Digitisation. Carlota Mendez Torrecillas, CMAC / Uni of Strathclyde, UK

 CookShorthouse

1100-1130

Towards closed-loop automation of pharmaceutical formulationsMichael Cook and David Shorthouse, UCL School of Pharmacy, UK

Wu

1200-1230

Digitalisation of Pharmaceutical Product Development with physics-based multiscale models. Charley Wu, University of Surrey, UK

Jose

1230-1300

Building, validating and deploying models in production environments. Jose Videira, Synbiosys, UK

Nima

1400-1430

AI assisted development of lipid nanoparticles for RNA therapeutics. Nima Hojat,  CPI (Centre for Process Innovation), UK

Martin

1430-1500

Mechanistic modeling of modular co-rotating twin-screw extruders. Martin Lubej,  Novartis Basel Switzerland

Roberto

1530-1600

On the AI driven geometry optimisation of a stirred tank CFD model in laminar flow. Roberto Hart-Villamil, University of Birmingham, UK

 Ho

1600-1630

Use AI to Analyse Formulations of Successfully New Product Launches.  Ms Karen Ho,  Gravel AI, UK

 
Confirmed Posters
  1. Development of a finite element model for predicting probiotic viability during tabletting​. Bide Wang, University of Surrey.
  2. Use AI to Analyse Formulations of Successfully New Product Launches.  Ms Karen Ho, Gravel AI.
  3. The Impact of Flow Function and Bulk Properties on Critical Filling Velocity in Rotary Die Filling. Nicolo Fasoli, University of Surrey
  4. Tackling Data Scarcity Challenge through Active Learning for Pharmaceutical Process Modelling.  Fanjin Wang, UCL, UK
  5. Rational nanomedicine In vitro release test development via machine learning approaches.  Daniel Yanes, University of Nottingham, UK.
  6. New eutectic systems of poorly water-soluble APIs: discovery and amorphisation via miniaturised, nanogram scale, high throughput screening with 2D picolitre inkjet printingEvangelia Tsolaki, University of Nottingham.
  7. A study of maximum spreading ratio at zero impact velocity of mixed oils with Bayesian Optimisation.  Qianrong Liu.   University of Birmingham.

Organising Committee

  • Phil Gill, Roxel UK
  • Sam Peel, International Flavors & Fragrances, The Netherlands
  • Bindhu Gururajan, PHAD Orals TRD, Switzerland

  RSC Group Logo Formulation Science Technology 

Programme will include a number of talks from invited experts from industry and academia and a selection from submitted abstracts. The speaker list includes;

Supercritical Water - Jawwad Darr (King’s College London)

Microwave processing – Vitaliy Khutoryanskiy (University of Reading)

Green chemistry - Peter Dunn (Pfizer)

Supercritical CO2 – Vivek Trivedi (University of Greenwich)

Ultrasonics – Timothy Mason (Coventry University)

Radiation Technology – Janusz M. Rosiak (Technical University of Łódź)

 

Important dates

Abstract submission: 01 March 2013

Early bird deadline: 01 May 2013

 

An event organised by the Formulation Science and Technology Group (FSTG) of RSC and the University of Greenwich in association with RSC Sonochemistry and Industrial Physical Chemistry group

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