BioParity.UFO / UAP research

4 papers for “Michael Phillip”

Results

PaperS7683

Expanded vacuum-stable gels for multiplexed high-resolution spatial histopathology

Yunhao Bai, Bokai Zhu, John-Paul Oliveria, Bryan J. Cannon, Dorien Feyaerts, Marc Bosse, Kausalia Vijayaragavan, Noah F. Greenwald, Darci Phillips, Christian M. Schürch, Samuel M. Naik, Edward A. Ganio, Brice Gaudilliere, Scott J. Rodig, Michael B. Miller, Michael Angelo, Sean C. Bendall, Xavier Rovira-Clavé, Garry P. Nolan, Sizun Jiang. pmc.ncbi.nlm.nih.gov. July 7, 2023.

This proof-of-concept study introduces ExPRESSO for higher-resolution imaging of archived tissue on existing mass-spectrometry platforms. The reported lateral enlargement is about 3.7-fold, with axial compression, edge distortion and marker-specific signal limits. Alzheimer’s examples use six individuals, not hundreds of patients; vessel counts and image fields are nested observations. Nolan’s disclosed FDA funding and instrument-company interests are explicit. The study does not report UAP patients, a secret government approach or a clinical diagnostic trial.

Complete supplied XML text; original figures and supplements unreviewed
PaperS7555

CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images

Michael Y. Lee, Jacob S. Bedia, Salil S. Bhate, Graham L. Barlow, Darci Phillips, Wendy J. Fantl, Garry P. Nolan, Christian M. Schürch. ebi.ac.uk. January 18, 2022.

CellSeg combines a pretrained nucleus-segmentation model with image scaling, stitching, mask expansion and pixel statistics. Historical benchmark scores and representative tissue examples have different provenance and settings; densely packed tissue remains difficult. A colorectal comparison reuses 140 samples from 35 people and provides author-described gating and correlation. Correlation does not establish exhaustive cell truth or universal clinical accuracy. Source-native metric definitions, count conflicts and caption errors are preserved.

Supplied text and six figures read
PaperS7688

Immune cell topography predicts response to PD-1 blockade in cutaneous T cell lymphoma

Darci Phillips, Magdalena Matusiak, Belén Rivero Gutierrez, Salil S Bhate, Graham L Barlow, Sizun Jiang, Janos Demeter, Kimberly S Smythe, Robert H Pierce, Steven P Fling, Nirasha Ramchurren, Martin A Cheever, Yury Goltsev, Robert B West, Michael S Khodadoust, Youn H Kim, Christian M Schürch, Garry P Nolan. ebi.ac.uk. November 18, 2021.

This observational tissue analysis links immune-cell topography to pembrolizumab response in14selected lymphoma patients from an earlier24-patient trial. Seventy regions and large cell counts remain nested within those patients. Assay validation and resampling reuse the same cohort, without an independent clinical test. Several abundance and signature measures were null; the proposed chemokine mechanism is not causally demonstrated. Nolan is a corresponding coauthor/joint supervisor. Published government grants and commercial/patent disclosures remain attributed, without establishing a classified approach or UAP programme.

Complete specialist supplied XML text; native graphics unreviewed
PaperS7561

Highly Multiplexed Phenotyping of Immunoregulatory Proteins in the Tumor Microenvironment by CODEX Tissue Imaging

Darci Phillips, Christian M Schürch, Michael S Khodadoust, Youn H Kim, Garry P Nolan, Sizun Jiang. ebi.ac.uk. May 19, 2021.

The authors develop a multiplexed imaging panel using eight previously treated tumor specimens. The 25,456 analyzed cells are nested within eight sampled cores, rather than independent patients. Cell types combine clustering with manual refinement; spatial marker patterns do not establish functional causation or clinical treatment prediction. Nolan supervised and revised the study, while Jiang is corresponding author. Channel labels, figure pointers and plotted units remain inconsistent in the supplied source.

Complete supplied text and received apparatus read

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