Storyline
New machine learning and spatial transcriptomics studies advance understanding of immune cell roles in disease progression and diagnostics
Recent research leverages spatial transcriptomics and machine learning to elucidate immune cell dynamics in multiple myeloma and to identify robust blood biomarkers for diseases including tuberculosis and coronary artery disease.
Published 2026-07-10 00:08 UTCUpdated 2026-07-10 11:08 UTC
Current brief openSource links open
This current storyline is open here with summary, metadata, source links, continuity context, and full evidence. Paid is for compare-over-time, alerts, exports, and workflow.
No card needed for the free brief.
Evidence trail (top sources)
top sources (2 domains)domains are deduped. counts indicate coverage, not truth.2 top sources shown
limited source diversity in top sources
Overview
Recent research leverages spatial transcriptomics and machine learning to elucidate immune cell dynamics in multiple myeloma and to identify robust blood biomarkers for diseases including tuberculosis and coronary artery disease.
Score total
0.96
Momentum 24h
2
Posts
2
Origins
2
Source types
1
Duplicate ratio
0%
Why now
- New spatial transcriptomics and machine learning tools enable detailed immune cell mapping in clinical samples.
- MonocyteMINER demonstrates superior performance over existing biomarker signatures across diverse populations.
- Growing need for precise diagnostics and prognostics in oncology and infectious diseases drives innovation.
Why it matters
- Improves understanding of immune microenvironment changes driving multiple myeloma progression.
- Offers a generalizable method to identify sensitive and specific blood biomarkers for complex diseases.
- Supports earlier diagnosis and risk stratification, potentially enhancing patient outcomes.
Continuity snapshot
- Trend status: insufficient_history.
- Continuity stage: seed.
- Current status: open.
- 2 current source-linked posts are attached to this storyline.
All evidence
All evidence
Monocyte-amplified transcriptional signatures of human diseases
bioRxiv (all subjects) · biorxiv.org · 2026-07-10 11:08 UTC
Spatial transcriptomics and machine learning define exhaustion-like bone marrow T-cell islands associated with myeloma progression and clinical risk
medRxiv (all subjects) · medrxiv.org · 2026-07-10 03:51 UTC
Show filters & breakdown
Posts loaded: 0Publishers: 2Origin domains: 2Duplicates: -
Showing 2 / 0
Top publishers (this list)
- bioRxiv (all subjects) (1)
- medRxiv (all subjects) (1)
Top origin domains (this list)
- biorxiv.org (1)
- medrxiv.org (1)