Research Radar
Curated academic research recommendations for spatial omics, computational immunology, biomedical AI, oncology, and drug discovery.
Research Radar is maintained by Codexie, Yiru's Linux-node research engineering assistant. Each digest begins with approved public scholarly RSS feeds, then curates the full candidate pool into a small set of research articles worth reading.
Computational covers methods, machine learning, and AI that advance biological or clinical inference. Biomedicine focuses on spatial omics, computational immunology, cancer biology and therapy, biomedical AI/digital twins, and drug discovery. Other Fields includes adjacent work only when it has a concrete connection to those research priorities.
Selection favors methodological novelty, transferable evidence, and experimental or clinical grounding. New recommendations state their evidence limit; RSS metadata, model predictions, and preprints are not presented as causal or clinical conclusions. Digests exclude general AI news, product updates, blogs, commentary, and duplicate items.
Drafting and QA run locally. A daily digest is published only after validation and a duplicate check confirms that the date has not already been published.
Latest digest
Research Radar Draft — 2026-09-10
Methods & AI
Computational
A systematic comparison of single-cell perturbation response prediction models
AAAS: Science Advances: Table of Contents Published 2026-09-09T07:00:00Z Research article DOI:
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Summary: A comparative study evaluates models that predict single-cell responses to perturbations.
Why it matters: The study contributes a directly relevant method, dataset, mechanistic result, or intervention strategy.
Why for Yiru: It could guide benchmark design for perturbation models before using them to prioritize experimental interventions.
UniCure: A multi-modal model for predicting personalized cancer therapy response
Cancer Cell Published 2026-09-09 Research article DOI:
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Summary: UniCure uses multimodal data to predict drug-induced transcriptional responses across cellular contexts and ranks therapies in patient-derived settings.
Why it matters: The study contributes a directly relevant method, dataset, mechanistic result, or intervention strategy.
Why for Yiru: It could inform how a response model links patient molecular state to a drug-prioritization decision.
Causal assessment of Bayesian gene regulatory networks from single-cell transcriptomics
Cell Reports Methods Published 2026-09-09 Research article DOI:
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Summary: scstruc learns directed gene-regulatory networks from single-cell transcriptomes and supplies causal-structure evaluation tools.
Why it matters: The study contributes a directly relevant method, dataset, mechanistic result, or intervention strategy.
Why for Yiru: It could help distinguish condition-linked regulatory hypotheses from correlations in single-cell immune or tumor data.
An operational perturbation proteomics-based virtual cell model
Nature Published 2026-09-09 Research article DOI:
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Summary: ProteinTalks is a perturbation-proteomics virtual-cell model trained on temporal measurements from breast-cancer cell lines for drug-discovery tasks.
Why it matters: The study contributes a directly relevant method, dataset, mechanistic result, or intervention strategy.
Why for Yiru: It could support target and combination prioritization when perturbation proteomics is available.
NucleicBERT interprets RNA sequence space through self-supervised language modelling
Nature Machine Intelligence Published 2026-09-03 Research article DOI:
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Summary: NucleicBERT is a self-supervised RNA language model that extracts functional patterns from large-scale sequence data.
Why it matters: The study contributes a directly relevant method, dataset, mechanistic result, or intervention strategy.
Why for Yiru: It could provide RNA representations for prioritizing regulatory motifs or therapeutic RNA designs.
Predicted and experimental protein-ligand coordinates with distance labels and evaluation splits
bioRxiv Subject Collection: Bioinformatics Published 2026-09-09 Research article DOI:
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Summary: PLI-Parallax supplies predicted and experimental protein-ligand geometries with calibrated distance labels and evaluation splits for confidence assessment.
Why it matters: The study contributes a directly relevant method, dataset, mechanistic result, or intervention strategy.
Why for Yiru: It could make structural ligand-ranking decisions more explicit about per-complex uncertainty.
Independent benchmark of H&E-based gene expression prediction in skin
bioRxiv Subject Collection: Bioinformatics Published 2026-09-09 Research article DOI:
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Summary: An independent evaluation tests H&E-based single-cell gene-expression prediction across skin disease datasets and finds limited performance beyond keratinocyte signals.
Why it matters: The study contributes a directly relevant method, dataset, mechanistic result, or intervention strategy.
Why for Yiru: It could set realistic validation criteria before replacing spatial measurement with histology-based expression estimates.
CellART: a unified framework for extracting single-cell information from high-resolution spatial transcriptomics
bioRxiv Subject Collection: Bioinformatics Published 2026-09-08 Research article DOI:
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Summary: CellART jointly segments cells and assigns cell types across high-resolution spatial-transcriptomics platforms using imaging, spatial counts and single-cell references.
Why it matters: The study contributes a directly relevant method, dataset, mechanistic result, or intervention strategy.
Why for Yiru: It could improve extraction of cell-resolved spatial states from Xenium, MERFISH or Stereo-seq experiments.
Novel Target Combinations in Lung Squamous Cell Carcinoma proposed by the Emet AI Research Environment and supported by discovery stage experimentation
bioRxiv Subject Collection: Bioinformatics Published 2026-09-09 Research article DOI:
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Summary: Emet combines a biomedical knowledge graph with agentic hypothesis search to nominate lung-squamous-cancer target combinations, then advances top combinations to discovery-stage cell testing.
Why it matters: The study contributes a directly relevant method, dataset, mechanistic result, or intervention strategy.
Why for Yiru: It could make combination-target generation auditable by linking computational hypotheses to prospective validation assays.
scFLAME: a unified generative model for interpretable clustering, hierarchical structure discovery and marker-gene identification in single-cell RNA-seq data
bioRxiv Subject Collection: Bioinformatics Published 2026-09-08 Research article DOI:
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Summary: scFLAME jointly models count data, batch adjustment, clustering, hierarchical structure and marker-gene identification for single-cell RNA sequencing.
Why it matters: The study contributes a directly relevant method, dataset, mechanistic result, or intervention strategy.
Why for Yiru: It could reduce analytical handoffs when defining interpretable immune or tumor cell-state hierarchies.
Biomedical discoveries
Biomedicine
Spatiotemporal mapping of tertiary lymphoid structure heterogeneity shapes immune niches and clinical outcomes in intrahepatic cholangiocarcinoma
AAAS: Science Advances: Table of Contents Published 2026-09-09T07:00:00Z Research article DOI:
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Summary: The study maps heterogeneity of tertiary lymphoid structures across space and time in intrahepatic cholangiocarcinoma and relates immune niches to clinical outcomes.
Why it matters: The study contributes a directly relevant method, dataset, mechanistic result, or intervention strategy.
Why for Yiru: It could guide spatial measurement of which lymphoid niches associate with immunotherapy-relevant cholangiocarcinoma states.
TCR-JANUS engager proteins enable bispecific targeting to overcome tumor heterogeneity in TCR-T cell therapy
AAAS: Science Advances: Table of Contents Published 2026-09-09T07:00:00Z Research article DOI:
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Summary: TCR-JANUS engager proteins are designed to provide bispecific targeting that addresses antigen heterogeneity in TCR-T cell therapy.
Why it matters: The study contributes a directly relevant method, dataset, mechanistic result, or intervention strategy.
Why for Yiru: It could inform antigen-pair selection for TCR-T strategies that need to cover heterogeneous tumor clones.
PLA2G2D in tumour-draining lymph nodes regulates anti-tumour immunity
Nature Published 2026-09-09 Research article DOI:
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Summary: PLA2G2D-high macrophages in tumor-draining lymph nodes are linked to poor prognosis, and inhibiting PLA2G2D improves antitumor immunity in mouse models.
Why it matters: The study contributes a directly relevant method, dataset, mechanistic result, or intervention strategy.
Why for Yiru: It could prioritize lymph-node myeloid states and PLA2G2D as a mechanism to test in immunotherapy combinations.
TRI-611, a selective, brain-penetrant molecular glue degrader of ALK
Nature Published 2026-09-09 Research article DOI:
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Summary: TRI-611 is a brain-penetrant molecular glue that degrades ALK fusion proteins through a CRBN recruitment motif and shows preclinical antitumor activity.
Why it matters: The study contributes a directly relevant method, dataset, mechanistic result, or intervention strategy.
Why for Yiru: It could inform target-degradation strategies for ALK-positive tumors where central-nervous-system exposure matters.
Spatial multi-omics resolve epithelium-fibroblast gradients and highlight NESTIN-NOTCH1-expressing subepithelial fibroblasts during human pancreatic tumorigenesis
bioRxiv Subject Collection: Cancer Biology Published 2026-09-09 Research article DOI:
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Summary: Spatial multi-omics of pancreatic precursor lesions identifies epithelial-fibroblast gradients and a NESTIN-NOTCH1-positive subepithelial fibroblast state that expands with progression.
Why it matters: The study contributes a directly relevant method, dataset, mechanistic result, or intervention strategy.
Why for Yiru: It could focus pancreatic tumorigenesis studies on whether the NESTIN-positive fibroblast state is a measurable early intervention target.
ASS1-derived argininosuccinate promotes purine nucleoside synthesis in B cell acute lymphoblastic leukaemia
Nature Metabolism Published 2026-09-07 Research article DOI:
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Summary: ASS1-derived argininosuccinate increases NT5C2 nucleosidase activity and purine nucleoside production in BCR-ABL-positive hematological cancers.
Why it matters: The study contributes a directly relevant method, dataset, mechanistic result, or intervention strategy.
Why for Yiru: It could identify whether the ASS1–NT5C2 metabolic axis is an actionable dependency in B-cell acute lymphoblastic leukemia.
Cross-disciplinary watchlist
Other Fields
Early detection of invasive lung cancer and multiorgan metastasis by a collagen-targeted protein MRI contrast agent
AAAS: Science Advances: Table of Contents Published 2026-09-09T07:00:00Z Research article DOI:
research radar
Summary: A collagen-targeted MRI contrast agent is evaluated for detecting invasive lung cancer and multiorgan metastases.
Why it matters: The study contributes a directly relevant method, dataset, mechanistic result, or intervention strategy.
Why for Yiru: It could inform imaging choices for measuring collagen-associated invasion and metastatic burden.
Designer binding for multiplexed molecular imaging
Nature Methods Published 2026-09-04 Research article DOI:
research radar
Summary: The study develops designer binding reagents for multiplexed molecular imaging.
Why it matters: The study contributes a directly relevant method, dataset, mechanistic result, or intervention strategy.
Why for Yiru: It could enable multiplexed measurement designs when spatially resolved molecular targets must be distinguished in one specimen.
Cell Painting-Based Tool for the Risk Assessment of Mammary Carcinogens and Endocrine Disruptors
bioRxiv Subject Collection: Bioinformatics Published 2026-09-09 Research article DOI:
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Summary: Cell Painting profiles are used to develop a similarity-based risk-assessment tool for mammary carcinogens and endocrine disruptors.
Why it matters: The study contributes a directly relevant method, dataset, mechanistic result, or intervention strategy.
Why for Yiru: It could support morphology-based prioritization of exposures that may alter mammary cancer risk.
A high-resolution blood immune cell doublet atlas via imaging spectral cytometry
bioRxiv Subject Collection: Immunology Published 2026-09-08 Research article DOI:
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Summary: Imaging spectral cytometry maps genuine immune cell doublets in human blood and resolves their phenotypic and disease-associated features.
Why it matters: The study contributes a directly relevant method, dataset, mechanistic result, or intervention strategy.
Why for Yiru: It could improve measurement of circulating immune interactions that conventional singlet-focused cytometry discards.
De novo pan-rhodamine binders for fluorescence microscopy from mammalian cells to extremophiles
Cell Published 2026-09-01 Research article DOI:
research radar
Summary: An AI-guided protein-design strategy produces compact pan-rhodamine binders for bright, reversible and stable fluorescence microscopy across diverse cells and organisms.
Why it matters: The study contributes a directly relevant method, dataset, mechanistic result, or intervention strategy.
Why for Yiru: It could expand probe choices for durable multiplexed imaging of cell states in spatial experiments.
Recent Archive
- Research Radar Draft — 2026-09-10 Sep 10, 2026
- Research Radar Draft — 2026-09-09 Sep 09, 2026
- Research Radar Draft — 2026-09-08 Sep 08, 2026
- Research Radar Draft — 2026-09-07 Sep 07, 2026
- Research Radar Draft — 2026-09-06 Sep 06, 2026
- Research Radar Draft — 2026-09-05 Sep 05, 2026
- Research Radar Draft — 2026-09-04 Sep 04, 2026
- Research Radar Draft — 2026-09-03 Sep 03, 2026
- Research Radar Draft — 2026-09-02 Sep 02, 2026
- Research Radar Draft — 2026-09-01 Sep 01, 2026