Welcome to the 1st International Workshop on Novel approaches in Systems Biology - combining mechanistic modeling and artificial intelligence (IEEE BIBM 2024).
Overview - In light of the limitations posed by current computational modeling and artificial intelligence-based techniques, the scientific community is driven to explore new innovative, integrated methodologies that overcome these issues. From traditional schemes to cutting-edge ones such as Physics Informed Neural Networks (PINN), Physics Informed Machine Learning (PIML), and Biological Informed Neural Networks (BINN), these hybrid approaches offer significant advantages across several application fields, enabling, e.g., the study of unexplored cellular dynamics, the establishment of robust pipelines for reconstructing omics interaction networks, for the creation of dependable synthetic datasets, or the precise estimation of biological parameters.The hybrid approaches based on artificial intelligence and mechanistic mathematical models hold great promise for addressing challenges in biology and medical research, including data analysis, interpretation, and their application. By synergistically combining the strengths of both approaches, researchers can unlock new insights into complex biological systems, accelerate medical discoveries, and ultimately improve patient outcomes in healthcare.
The topics of interest include but are not limited to:
Mechanistic models combined with machine and deep learning methods to gain insights into the aspects of biological systems at genome, proteome, and metabolome levels;
Mechanistic models combined with machine and deep learning methods to gain insights into the aspects of specific physio-pathological clinical condition at cellular, organ, and tissue levels;
Physics Informed Neural Networks (PINN)
Physics Informed Machine Learning (PIML)
Biological Informed Neural Networks (BINN)
Mechanistic Learning (MeL)
Neural ODE
Reinforcement Learning guided parameter estimation of mechanistic models
Important dates
Oct. 10, 2024 Oct. 31, 2024: Due date for full workshop papers submission
Nov. 5, 2024: Notification of paper acceptance to authors
Nov. 21, 2024: Camera-ready of accepted papers
Dec. 3-6, 2024: Workshops
Submission
Please submit a paper (8 page IEEE 2-column format, including all figures, tables, and references) via online BIBM paper submission system online submission system. Papers should be formatted to IEEE Proceedings Manuscript Formatting Guidelines. You can download the format instruction here here.
All accepted papers will be published in the BIBM proceedings and IEEE Digital Library (Xplore).
Contact
anna.procopio@unicz.it - framato@unina.it - francesco.montefusco@uniparthenope.it