The workshop "AI and Microfluidics for Precision Medicine" is dedicated to exploring the integration of Artificial Intelligence (AI) techniques into microfluidic-based medical applications, enhancing their precision, efficiency, and scalability. The workshop is focused on leading-edge research and innovation and will feature research papers and panel discussions delving into key aspects of AI innovations and applications to microfluidic systems, including advanced diagnostics, personalized medicine, point-of care testing, drug discovery and delivery, and tissue engineering. The workshop will feature both innovative AI approaches as well as their applications to real-world problems. The workshop seeks to foster engagement of diverse stakeholders across healthcare research, including researchers, engineers, computer scientists, clinicians, and pharmaceutical professionals to promote multidisciplinary dialogue and collaboration. Attendees can anticipate interactive discussions, presentations, and networking opportunities, gaining valuable insights into the forefront of AI-driven strategies shaping the future of microfluidics for medical applications.
The workshop topics include:
Healthcare applications of AI-based microfluidic devices
AI for advanced processing of data from microfluidic devices
AI for microfluidic design optimization
AI for automatic control of microfluidic systems
AI for droplet microfluidics
AI and microfluidics for high-throughput screening
AI and microfluidics for tissue engineering
“Smart” microfluidics
Heterogeneous signal integration and data fusion
Time-series analysis
Predictive modelling
Data augmentation strategies
Deep learning-based image processing
Open-set classification
Real-time signal/image processing for cell sorting applications
Supervised and unsupervised approaches for cell classification
Motivation
The miniaturization provided by microfluidics has already established itself as a key tool in medicine, enabling a deeper understanding of human cells homeostasis and disease, improving traditional detection instruments, and making great contributions to disease diagnosis and treatment as well as to drug development and screening. However, the transition of microfluidics from a lab concept to its widespread adoption still faces several challenges, as it’s hindered by hurdles such as intricate device fabrication, precise fluid manipulation, extensive data analysis, and system optimization.
The integration of AI with microfluidics is posed to not only solve these issues, but to mark a revolutionary leap forward for lab-on-a-chip technologies, amplifying the potential of each field beyond their individual capabilities. For example, AI’s unique capabilities will enable the creation of devices with an optimized design for augmented efficiency and adaptability, the fine-tuning of flow control and mixing processes for more accurate sorting capabilities, and the analysis of highly multidimensional data with unmatched pattern recognition capabilities, among others.
The future potential of lab-on-a-chip in medicine is exceptionally promising, driven by the synergistic integration of AI and microfluidics. This workshop will highlight some of the most exciting early advancements shaping this future.
Format
The workshop will be half-day, and will feature a combination of presentation types, including keynote talks, research talks, spotlight talks, and a discussion about lesson learned and present challenges.
Audience
Thanks to its high multidisciplinary content, this workshop is posed to attract audience with different backgrounds, including researchers and engineers actively working on the development of microfluidics systems, computer scientists focused on the development of AI algorithms, and medical doctors interested in applications.
University of Rome Tor Vergata
University of Naples Federico II
University of Rome Tor Vergata
CNR - Institute for Photonics and Nanotechnologies
International Iberian Nanotechnology Laboratory
Italian Institute of Technology
University of Virginia
University of Rome Tor Vergata
University of Naples Federico II
University of Salerno
For more information, please contact the Workshop chairs.