Classifier development and benchmarking
BRAF thyroid, colorectal MSI-H, MET NSCLC, PH WSI, endometrial MSI pilots, and hemepath molecular screens using UNI, GigaPath, Phikon-v2, and ABMIL/fusion variants.
Pamphlet style options
Five static HTML directions for a biospatial AI services pamphlet. Each version uses local assets from the surrounding projects and keeps the content focused on pathology, tissue imaging, IHC, mIF, hemepath, wound measurement, and WSI workflows.
Local project sources consulted include BRAF thyroid, MSI colorectal/endometrial, AML/hemepath, MET NSCLC, PH WSI, TROP2/IHC segmentation, FOLR1/TROP2 dashboard work, mIF pseudo-H&E and CD68 salvage, wound tracker, staining lab, BCMG AI curation, BCMG Path Foundation, and SegMen.
Biospatial AI services
Computational pathology, tissue-image intelligence, and human-in-the-loop biomarker workflows for teams working with whole-slide images, IHC, multiplex IF, cytology, flow data, and serial wound imaging.
Example WSI classifier pipeline: tiling, foundation encoders, multi-instance learning, and biomarker prediction.
Representative internal research/prototype runs, not clinical performance claims.
BRAF V600E thyroid, colorectal MSI-H, endometrial MSI pilots, MET NSCLC, pulmonary hypertension WSI, and hematopathology molecular-screen prototypes.
TROP2 and FOLR1 workflows, ROI adjustment, dot placement, H-score support, DAB deconvolution, segmentation calibration, and case-screening infrastructure.
Read-only curation of WSI, crop, cytology, hemepath, FCS, text, and molecular folders with static reporting and traceable project ledgers.
BCMG AI bridges pathology judgment and production AI: pathologist-supervised datasets, calibrated visual review, rigorous QC, and lightweight local tools that can move from research notebooks to operational workflows.
TROP2 IHC segmentation and DAB scoring with HoVer-Net, SAM, and pathologist feedback.
mIF salvage: registered pseudo-CD68, lineage-negative gating, and per-cell audit panels.
Metric wound tracking with fiducial registration, SAM3-style zones, and serial tissue maps.
Pulmonary hypertension WSI attention review with explainable model focus regions.
BCMG AI Services and Advertising
BCMG AI builds the practical layer between tissue, pathologist review, machine learning, and sponsor-ready deliverables. The work spans WSI foundation models, IHC quantification, multiplex image rescue, hemepath data fusion, and serial tissue measurement.
BRAF V600E, MSI-H, MET amplification, PH WSI, and AML NPM1 prototypes using tile embeddings, ABMIL, fusion encoders, and calibrated holdouts.
TROP2/FOLR1 IHC workflows, DAB separation, cell segmentation, H-score review, ROI correction, and pathologist-rated segmentation loops.
mIF-to-pseudo-H&E, brightfield-to-mIF registration, pseudo-CD68 recovery, threshold audits, QuPath-ready exports, and failed-project salvage.
Service menu
Static HTML pamphlet direction focused on concrete offerings, project examples, and reusable capabilities.
BRAF thyroid, colorectal MSI-H, MET NSCLC, PH WSI, endometrial MSI pilots, and hemepath molecular screens using UNI, GigaPath, Phikon-v2, and ABMIL/fusion variants.
TROP2 and FOLR1 review, ROI adjustment, dot placement, DAB deconvolution, cell segmentation, membrane scoring, H-score support, and batch feedback capture.
Pseudo-H&E from 8-channel Opal/Vectra images, brightfield IHC to mIF registration, CD68 regional recovery, global threshold audits, and QuPath-ready export.
Metric wound capture with a 100 x 100 mm fiducial, homography QC, wound-zone segmentation, tissue-change heatmaps, and JSON/report outputs.
Ink artifact filtering, color correction, white-balance models, mask QC, attention-map review, and reportable QC flags for WSI pipelines.
Read-only local crawler/indexer for WSI, crops, cytology, hemepath, FCS, text, and molecular folders, plus append-only ledgers and serialized HTML reports.
Static HTML reports, review dashboards, model summaries, audit panels, curated manifests, CSV/JSON exports, QuPath-ready images, and lightweight local apps for pathologist-in-the-loop iteration.
BCMG AI
From whole-slide biomarker models to mIF rescue and pathologist-guided IHC scoring, BCMG AI turns complex tissue data into reviewable, traceable, and sponsor-ready outputs.
Representative research and operations examples: BRAF, MSI, AML NPM1, MET NSCLC, PH WSI, TROP2, FOLR1, mIF CD68 recovery, and wound tracking.
What we build
Tile extraction, foundation embeddings, ABMIL, fusion modeling, holdout analysis, attention maps, and concise performance reports.
Case screening, ROI correction, dot placement, H-score support, DAB scoring, membrane quantification, and interactive segmentation evaluation.
Pseudo-H&E generation, cross-modality registration, CD68 imputation, stain deconvolution, QC montages, and QuPath-ready export.
Read-only local indexing, clean manifests, curation ledgers, static reports, and reproducible project handoffs.
Proof points
Research/prototype values are presented as internal evidence, not clinical claims.
Technical capability catalog
A biospatial AI portfolio organized by data type, model pathway, review interface, and deliverable. Built around local, reproducible workflows that keep pathologist oversight close to the data.
mIF reconstruction
IHC segmentation
Metric wound report
Stain normalization