# Proposal: Multi-Modal AI Analysis of Systemic Cross-Talk in Spaceflight (OSD-914) **URL:** \ **Category:** Multi-Omics AWG Open Projects\ **Tags:** aiml, data-mining\ **Created:** [April 19, 2026, 1:56am UTC](https://awg.osdr.space/t/proposal-multi-modal-ai-analysis-of-systemic-cross-talk-in-spaceflight-osd-914/4074 "2026-04-19T01:56:52Z")\ **Posts on this page:** 10\ **Page:** 1
**Author:** ![Pratheek](https://sea1.discourse-cdn.com/flex001/user_avatar/awg.osdr.space/pratheek/32/3713_2.png) [@Pratheek](https://awg.osdr.space/u/Pratheek)\ **Post date:** [April 19, 2026, 1:56am UTC](https://awg.osdr.space/t/proposal-multi-modal-ai-analysis-of-systemic-cross-talk-in-spaceflight-osd-914/4074/1 "2026-04-19T01:56:52Z")
### **Dear AWG Members,** I’m introducing a new project idea for the **AI/ML AWG** focused on mapping molecular signaling across disparate tissues. While most current spaceflight transcriptomic analyses are siloed to single organs, this project aims to leverage multi-modal machine learning to identify systemic “cross-talk” patterns. **Summary** Spaceflight induces complex physiological adaptations that are fundamentally interconnected. The **OSD-914 (RR-8)** dataset provides a unique opportunity for systemic modeling, as it contains small RNA data across **13 different organs** for the same subjects. This project will utilize this high-dimensional dataset to determine if molecular stress signatures in peripheral tissues (e.g., Liver) can serve as predictive biomarkers for adaptations in the Central Nervous System (Brain). **Research Question** : Can a multi-modal neural network architecture identify predictive transcriptomic signaling links between hepatic metabolic stress and neuro-inflammatory responses in spaceflight models? The hypothesis is that systemic signaling creates identifiable correlations across the OSD-914 organ-wide profiles that are missed by traditional single-tissue differential expression analysis. **Deliverables:** The expected deliverables include: - A **standardized cross-tissue data matrix** derived from OSD-914. - An **open-source AI pipeline** (Python/PyTorch) for multi-organ predictive modeling. - **Explainability maps (SHAP/LIME)** identifying the specific miRNA families driving inter-organ correlations. - A **manuscript submission** to a peer-reviewed journal (e.g., _Nature Scientific Data_ or _Life_). I am looking for collaborators with expertise in **Systems Biology** , **Transcriptomics** , or **ML Optimization** to help with biological validation and feature selection. If you’re interested in collaborating on this systemic approach, please reply here or reach out directly! Best regards, **Pratheek Mukkavilli** NASA AI/ML AWG Member [@AIMLawg](https://awg.osdr.space/groups/aimlawg) ---
**Author:** ![rprahl](https://sea1.discourse-cdn.com/flex001/user_avatar/awg.osdr.space/rprahl/32/3860_2.png) [@rprahl](https://awg.osdr.space/u/rprahl)\ **Post date:** [April 20, 2026, 10:58pm UTC](https://awg.osdr.space/t/proposal-multi-modal-ai-analysis-of-systemic-cross-talk-in-spaceflight-osd-914/4074/2 "2026-04-20T22:58:55Z")
Hi Prateek, I hope this message finds you well. I am happy to collaborate. I do not know how much have been done, but we may need a literature review, and action plan Cheers, Rosa ---
**Author:** ![rprahl](https://sea1.discourse-cdn.com/flex001/user_avatar/awg.osdr.space/rprahl/32/3860_2.png) [@rprahl](https://awg.osdr.space/u/rprahl)\ **Post date:** [April 20, 2026, 11:00pm UTC](https://awg.osdr.space/t/proposal-multi-modal-ai-analysis-of-systemic-cross-talk-in-spaceflight-osd-914/4074/3 "2026-04-20T23:00:06Z")
My apologies: Hi Pratheek! ---
**Author:** ![Michelle](https://sea1.discourse-cdn.com/flex001/user_avatar/awg.osdr.space/michelle/32/3822_2.png) [@Michelle](https://awg.osdr.space/u/Michelle)\ **Post date:** [April 21, 2026, 2:12pm UTC](https://awg.osdr.space/t/proposal-multi-modal-ai-analysis-of-systemic-cross-talk-in-spaceflight-osd-914/4074/4 "2026-04-21T14:12:58Z")
Hello Pratheek, thank you for sharing this project idea. I found it very interesting, especially because it approaches spaceflight biology from a systemic perspective rather than limiting the analysis to isolated tissues. I would be very interested in collaborating on this work. My interest is particularly in the biological interpretation of cross-tissue signaling, the development of systemic hypotheses, and the translational relevance of molecular stress responses across organs, especially in relation to neurobiological adaptation, inflammation, and physiological regulation. Although I am still expanding my technical depth in transcriptomics and machine learning pipelines, I believe I can contribute meaningfully to the conceptual and biological validation side of the project, including literature integration, hypothesis refinement, and interpretation of liver-brain or peripheral-central signaling patterns. This is a very promising direction, and I would be glad to contribute and learn alongside the team if there is an opportunity to participate. Best regards, Michelle Medeiros ---
**Author:** ![rtscott2001](https://sea1.discourse-cdn.com/flex001/user_avatar/awg.osdr.space/rtscott2001/32/5_2.png) [@rtscott2001](https://awg.osdr.space/u/rtscott2001)\ **Post date:** [April 22, 2026, 7:14pm UTC](https://awg.osdr.space/t/proposal-multi-modal-ai-analysis-of-systemic-cross-talk-in-spaceflight-osd-914/4074/5 "2026-04-22T19:14:21Z")
Hi @Pratheek – make sure to raise this with @vaishnavi.nagesh & @lauren.sanders to make sure that you have a chance to pitch this proposed project at the May AI/ML AWG mtg ---
**Author:** ![Pratheek](https://sea1.discourse-cdn.com/flex001/user_avatar/awg.osdr.space/pratheek/32/3713_2.png) [@Pratheek](https://awg.osdr.space/u/Pratheek)\ **Post date:** [April 22, 2026, 11:23pm UTC](https://awg.osdr.space/t/proposal-multi-modal-ai-analysis-of-systemic-cross-talk-in-spaceflight-osd-914/4074/6 "2026-04-22T23:23:28Z")
Got it, will do that. Thank You! ---
**Author:** ![Pratheek](https://sea1.discourse-cdn.com/flex001/user_avatar/awg.osdr.space/pratheek/32/3713_2.png) [@Pratheek](https://awg.osdr.space/u/Pratheek)\ **Post date:** [April 22, 2026, 11:24pm UTC](https://awg.osdr.space/t/proposal-multi-modal-ai-analysis-of-systemic-cross-talk-in-spaceflight-osd-914/4074/7 "2026-04-22T23:24:05Z")
Thank you for reaching out. Please check your DM’s. ---
**Author:** ![Mym04Tak14](https://avatars.discourse-cdn.com/v4/letter/m/e0b2c6/32.png) [@Mym04Tak14](https://awg.osdr.space/u/Mym04Tak14)\ **Post date:** [July 30, 2026, 6:38pm UTC](https://awg.osdr.space/t/proposal-multi-modal-ai-analysis-of-systemic-cross-talk-in-spaceflight-osd-914/4074/8 "2026-07-30T18:38:23Z")
Hi Pratheek, I read your proposal on cross-tissue AI analysis for OSD-914. It aligns well with a theoretical framework I have been developing independently. I have proposed a model where any biological state S(t) evolves as: ln[S(t)/S₀] = [–α – βΔg] × (1 – e^{-t/τ}) – λR t + ε In this model, gravity (Δg) is the primary driver, and β (mechanotransduction sensitivity) dictates how each tissue responds. Your project is interesting to me because it directly tests a key implication of this framework: that different tissues (liver vs. brain) will have distinct β values, yet show correlated dynamics under the same Δg stress. I would be interested to see if your multi-organ data supports this prediction. If you are open to collaboration, I would be happy to help with the theoretical interpretation of your results. Full preprint: [OSF](https://osf.io/3hsyq/) GitHub : [GitHub - mymanatakual4-dot/trajectory-tdbmr04-response-model · GitHub](https://github.com/mymanatakual4-dot/trajectory-tdbmr04-response-model) Best, Mymana Samia [Model.pdf](https://awg.osdr.space/uploads/short-url/qAi6m0HzNdfmTfevCE2Bqh2lK6q.pdf) (589.6 KB) ---
**Author:** ![Riddhi](https://sea1.discourse-cdn.com/flex001/user_avatar/awg.osdr.space/riddhi/32/4723_2.png) [@Riddhi](https://awg.osdr.space/u/Riddhi)\ **Post date:** [September 10, 2026, 3:33am UTC](https://awg.osdr.space/t/proposal-multi-modal-ai-analysis-of-systemic-cross-talk-in-spaceflight-osd-914/4074/9 "2026-09-10T03:33:11Z")
Hi, I’m Riddhi Jha, currently pursuing an M.Sc. in Biotechnology at J.C. Bose University of Science and Technology, Faridabad, India. I came across the “Multi-Modal AI Analysis of Systemic Cross-Talk in Spaceflight (OSD-914)” project and I’m very interested in contributing to it. My current interests are in bioinformatics, transcriptomics/RNA-seq and multi-omics analysis. I have been working with Galaxy-based RNA-seq workflows and learning Python/Biopython and functional enrichment analysis. I’m also interested in developing my skills in AI/ML applications in biological data analysis. I would be happy to contribute to the project at a student/early-career level and learn through the ongoing work. Please let me know if there is an opportunity for me to join the project or contribute to any current task. Thank you, Riddhi Jha ---
**Author:** ![lilmisscupcake](https://sea1.discourse-cdn.com/flex001/user_avatar/awg.osdr.space/lilmisscupcake/32/2889_2.png) [@lilmisscupcake](https://awg.osdr.space/u/lilmisscupcake)\ **Post date:** [September 14, 2026, 10:03am UTC](https://awg.osdr.space/t/proposal-multi-modal-ai-analysis-of-systemic-cross-talk-in-spaceflight-osd-914/4074/10 "2026-09-14T10:03:33Z")
Hi Pratheek, This project caught my attention, particularly the explainability maps and open-source multi-organ pipeline deliverables. My background is in AI/ML and bioinformatics, and I’ve been working on a neurosymbolic protein language model project where a core part of my role has been dataset engineering and feature construction across multiple biological data sources, along with building an interpretability module that ablates individual biological concepts to generate causal, ranked explanations for model predictions, which sounds fairly close to what you’re aiming for with the SHAP/LIME explainability maps here. I’d be glad to contribute on the data matrix standardization and pipeline/explainability side if there’s room, happy to share more about my past work if useful. Let me know if there’s a good next step, or if you’re still gathering interest ahead of the AI/ML AWG meeting. Best, Hitaeshi