🧭 NeuMap charts neutrophil diversity into conserved functional hubs across tissues
📍 ClustSIGNAL brings adaptive smoothing for sharper spatial cell-type calls

🌱 Polyclonal origins challenge the classic “one cell → one tumor” dogma in early CRC
🎥 IRIS links high-res cell images to full transcriptomes — true single-cell phenomics
🧩 TNBC TME dynamics map how myCAFs build early invasive niches

🧭 Spacer: interpretable AI that reveals which genes attract or repel immune cells in tissue
⚡ Neuroimmune circuit: pain-sensing nerves remotely shut down lymph node immunity
🧩 MIMYR: generative AI that reconstructs missing spatial transcriptomics regions

🔥 Tumor “mitochondria economy”: cancer cells import, refurbish & redistribute mitochondria to suppress immunity
🎨 CRISPR PRO-LiveFISH: image unique genomic loci live & enhancer–promoter loops
🧫 Brain tumors contain intracellular bacterial signals that shape local immune states

⚠️ TSP-1/CD47 drives T cell exhaustion — block it, reinvigorate immunity
💥 MITEs: Tumor-activated immunocytokines that flip TAMs + supercharge T/NK cells
⏳ ACE: Explainable AI finds conserved aging genes across species

🧬 CRISPR first-in-human: ANGPTL3 editing cuts LDL/TG ~50%+ after one infusion
🧠 Neuro–immune crosstalk: Sensory neurons use TGF-β to shape macrophage identities for nerve repair
🧩 FADVI: Disentangles batch effects vs biology for cleaner single-cell & spatial integration

🛑 TGF-β creates a dual immune barrier in CRC liver mets
💬 CellHermes: Turns omics into natural language to unify encoding, prediction & explanation.
🗺️ CONCERT: Learns niche-aware perturbation responses
⚙️ Monod: Replaces heuristic scRNA-seq workflows with mechanistic transcription modeling.

🧩 NRF2 reprogams BM progenitors into immunosuppressive macrophages
⚠️ High CIN fuels cancer non–cell-autonomously, promoting relapse
🗺️ STORIES learns "Waddington landscapes" from spatial transcriptomics
🔭 Early myeloid clusters predict if precancerous lesions regress/progress

I am on a quest to follow all the Bioinformaticians here on #Bluesky.

⚡ CAFs act like neurons
➡️ velotest puts RNA velocity visualizations to the test
🧠 CytoTRACE 2 decodes absolute cellular potency
🧩 scooby predicts multiomic cell profiles from DNA
💉 mRNA vaccines boost immunotherapy response
🐋 Bowhead whales fight cancer with DNA repair

🧠 Large Perturbation Model predicts cellular responses in silico
🧩 MIMA unifies any omics with AI-driven batch correction
🧱 fastCNV maps tumor CNVs from single-cell & spatial data—fast ⚡ & accurate
🌸 PHLOWER untangles complex differentiation trees from multimodal data

🧓 Single-cell phylogenies map 70 years of clonal evolution in the human esophagus
💊 Generative AI designs new antibiotics effective against superbugs
🍄 Shorkie: a fungal DNA LM that predicts gene expression from sequence alone

This work introduces MIMA, a powerful AI framework for integrating spatial & single-cell multi-omics data while removing batch effects, revealing new molecular patterns & linking omics to histopathology.

Big step toward AI-driven digital pathology and precision oncology.