The official Bluesky account of the NetBioMed satellite, to be held at
@netsciconf.bsky.social. #NetSci2026 #NetBioMed2026
https://netbiomed-symposium.github.io/
NetBioMed 2026
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Can we reverse-engineer our #proteomes and reverse aging? In our last #NetBioMed2026 talk, Garo Kerdelian presents his work on how we can use #NetworkScience to better understand the interaction of food with our bodies and, from there, develop #therapies to increase our longevity.
Our third keynote speaker at #NetBioMed2026 is Donna Slonim, who provided us with an overview of her novel mathematical and computational tools for achieving advances in #PrecisionMedicine with much greater efficiency.
Data collection and heterogeneity pose challenges for disease #diagnosis. Is it possible to use #AI to overcome them? Our sixth keynote speaker, Michelle Li, presented her Geometric #DeepLearning approach at #NetBioMed2026 to enhance efficiency and accuracy in disease detection.
Now at #NetBioMed2026 Neda Amirirad uses across-visit consensus #community #detection to map temporal gene co-expression #networks in systemic lupus erythematosus. Her approach identifies stable gene communities that evolve over time, offering insights into disease #dynamics.
Our final keynote speaker at #NetBioMed2026 is Ed Silverman, who provided us with an overview of his research aimed at understanding chronic obstructive pulmonary diseases using #NetworkMedicine approaches.
Modeling biological #networks can be a challenge, given the fuzziness of their function and organization. At #NetBioMed2026, Kaustav Sengupta presents his #multilevel, #AI-driven approach to accurately capture biological #complexity within real regulatory #genomic structures.
Now, Eli Newby presents his work on the application of #multilayer #networks to enhance our understanding of #cancer through microRNA determinants
#NetBioMed2026 #NetSci2026
Our fifth keynote speaker at #NetBioMed2026 is Dariusz Plewczynski, who offered us an introduction to his framework integrating #AI, polymer #biophysics, and 3D #genomics to decode the biology of human #chromatin!
As our fourth keynote speaker at #NetBioMed2026, Mike Calderwood offers a fascinating introduction to the construction of protein-protein interactomes, demonstrating how a better understanding of these #complex #networks can be used to better understand multiple diseases.
Our second speaker at #NetBioMed2026 is Sushmita Roy, who offers us a comprehensive introduction to her research on #gene regulatory #networks (GRNs), addressing fundamental questions such as how to define GRNs based on real biological data and how to model the evolution of them.
