Part 4: Setting up Biological Processes as NETWORKS
They're setting humans up as networks using helium and the humannode.
Then, they set up our biological systems as separate networks, where they get interpreted by a plugin, which maps out under different network schemes.
MAPPING BIOLOGICAL DATA NETWORK INTO NETWORKS
Mapping biological data into network schemes involves converting heterogeneous omics data (genomics, transcriptomics, proteomics, metabolomics) INTO GRAPH STRUCTURES where nodes represent biological entities (genes, proteins, metabolites) & EDGES REPRESENT INTERACTIONS OR RELATIONSHIPS (physical binding, co-expression, regulatory control).
pmc.ncbi.nlm.nih.gov/article…
Protein-Protein Interaction (PPI)
This is part of the Spark2 activation.
pmc.ncbi.nlm.nih.gov/article…
This process integrates diverse data types—such as protein-protein interaction (PPI) networks, gene regulatory networks (GRNs), and metabolic pathways—to model complex biological systems and identify functional modules or disease-associated perturbations.
pmc.ncbi.nlm.nih.gov/article…
PPI BASED NETWORKS
PPI-Based Networks: Utilize experimentally supported physical interactions from databases like BioGRID, IntAct, STRING, and HPRD.
pmc.ncbi.nlm.nih.gov/article…
These global reference networks can be filtered to create tissue-specific or disease-specific interactomes by mapping gene expression data onto the nodes, significantly improving biological relevance for specific contexts.
pmc.ncbi.nlm.nih.gov/article…
Mosaic: making biological sense of complex networks
pmc.ncbi.nlm.nih.gov/article…
MOSAIC (GO)
GO network annotation and partition in Cytoscape.
apps.cytoscape.org/apps/mosa…
Mosaic is an open-source plugin for Cytoscape designed to make biological sense of complex networks by performing interactive annotation, partitioning, layout, and coloring based on Gene Ontology (GO) terms or other relevant annotations.
nrnb.org/tools/mosaic/
THE SETUP - READING, WRITING BIOLOGICAL DATA THEN SENDING IT TO THE CLOUD
This part's important, they're doing this right now. And they're doing this using carbon nanotubes, graphene oxide, Nano wire edge devices & software defined radios.
THE BRAIN INTERFACE
The brain-computer interface designed to enable people to use their thoughts to control a digital device.
synchron.com/
NVIDIA Holoscan
developer.nvidia.com/holosca…
The Holoscan SDK is part of NVIDIA Holoscan, the AI sensor processing platform that combines hardware systems for low-latency sensor and network connectivity, optimized libraries for data processing and AI & CORE MICROSERVICES to run streaming, imaging, and other applications, FROM EMBEDDED TO EDGE TO CLOUD.
github.com/nvidia-holoscan/h…
Synchron to Advance Implantable Brain-Computer Interface Technology with NVIDIA Holoscan
Did you know Embedded SPARK works with the NVIDIA Holoscan?
NVIDIA Holoscan is a software development kit (SDK) optimized for multiple hardware platforms, including the NVIDIA DGX Spark, which is a compact AI supercomputer designed for edge & embedded AI applications.
NVIDIA Holoscan is well-suited for embedded AI workloads on the DGX Spark, offering low-latency sensor processing and support for real-time inference, with installation and deployment options tailored to the platform's capabilities.
docs.nvidia.com/holoscan/sen…
STREAMING SETUP
NVIDIA Clara
Process streaming data in real time with scalable, SOFTWARE-DEFINED DEVICES built with the NVIDIA Clara for Medical Devices platform.
nvidia.com/en-us/clara/medic…
Software-Defined Devices (Include virtual, emulated & simulated devices)
In other words, people, tissue chips & organoids
NVIDIA Holoscan is a domain-agnostic, multimodal AI sensor processing platform that delivers the accelerated, full-stack infrastructure needed for real-time processing of streaming data at the edge or in the cloud
developer.nvidia.com/holosca…