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Research preprints, preprint abstracts and preprint authors

Biology and medicine preprints from bioRxiv and medRxiv.

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Search preprints

Find bioRxiv and medRxiv preprints matching topic words within a posting date range, newest first. Published journal details appear when available.

Your information

Query

Topic words to find in preprint titles, abstracts, and subject categories, for example gut microbiome depression.

ServerOptional

Preprint server to search, for example both.

End DateOptional

Last posting date, inclusive, for example 2026-09-29. Defaults to today.

Start DateOptional

First posting date, inclusive, for example 2026-09-01. Defaults to 30 days before today.

Max ResultsOptional

Maximum number of matching preprints, for example 20.

1 credit per run

Example results

Preprints: Preprints
Title DOI Server Authors Journal Abstract PDF Link Date Posted Journal Link Preprint Link Subject Category
Pixel-Level Quantification of Subcutaneous Shear-Wave Velocity Heterogeneity for Grading Lymphatic Obstruction in Breast Cancer-Related Lymphedema
10.64898/2026.09.25.26364003
medRxiv
Hoe, Z. Y.; Chou, C.-P.; Tzeng, Y.-D.; Ding, R.-S.; Pan, C.-T.; Lee, M.-C.; Lee, C.-H.
—
Objectives: To develop and validate pixel data analysis (PDA) for reconstructing pixel-level shear-wave velocity (SWV) from saved Holder-Optimized Elastography (HOE) elastograms and to determine whether whole-field subcutaneous heterogeneity provides a quantitative signature of lymphatic obstruction compared with visual high-velocity-area (HVA) counting and sparse manual region-of-interest (ROI) sampling. Materials and Methods: In this cross-sectional study, 110 women after breast cancer surgery underwent lymphoscintigraphy and HOE, a pressure-minimized acquisition framework that preserves conventionally captured SWV information while additionally revealing spatial abnormalities attenuated by handheld acquisition. Reconstruction validation used 200 paired ROIs from 49 PACS-retrieved images spanning nearly the full displayed SWV range; reproducibility was assessed across 96 matched anatomical sites from 6 participants undergoing independently reacquired HOE examinations. PDA, visual HVA counting, and manual ROI sampling were evaluated on the same HOE-acquired elastograms in task-specific common complete-case cohorts. Results: PDA reconstructed machine-reported SWV with near-zero error (mean difference, +0.0009 m/s; mean absolute error, 0.0075 m/s; 95% limits of agreement, -0.0202 to +0.0221 m/s). For subcutaneous variance, interobserver/intraobserver ICCs were 0.718/0.799 for PDA and 0.161/0.560 for manual ROI sampling. In the primary no-versus-partial comparison (n = 93), forearm-pooled PDA subcutaneous variance ratio yielded the highest observed AUC (0.859; 95% CI, 0.772 - 0.947), compared with 0.820 for visual HVA counting and 0.769 for manual ROI sampling. PDA's subcutaneous variance ratio remained a leading feature across all three comparisons (AUC, 0.859 - 0.878), including partial-versus-total grading, where all three frameworks showed high discrimination. Conclusions: PDA accurately reconstructs pixel-level SWV from saved HOE elastograms and enables reproducible whole-field quantification of superficial SWE heterogeneity. Subcutaneous variance ratio was the leading quantitative PDA feature across lymphatic-obstruction comparisons and was particularly informative in partial obstruction. The same approach also enables retrospective quantitative reanalysis of compatible archived elastograms.
medrxiv.org
2026-09-28
—
medrxiv.org
radiology and imaging
Epigenetic misprogramming of cell differentiation links transient viral infection to chronic diseases across tissues
10.64898/2026.09.08.26362522
medRxiv
Friedenson, B.
—
Virus-induced epigenetic changes in stem-cell differentiation pathways emerge here as a shared mechanism linking fundamentally different chronic diseases, offering candidate biomarkers and new intervention targets. Chronic diseases increasingly trace back to transient viral exposure, yet unrelated pathologies also arise in tissues showing no signs of infection. Using Epstein-Barr virus (EBV), I show that different chronic EBV-associated diseases share epigenetic misprogramming within stem-cell differentiation hierarchies. These alterations propagate across diverse cell lineages, creating latent vulnerabilities unmasked by secondary insults. Breast cancer, long debated for possible EBV involvement, carries EBV-like methylation signatures in both precursor and invasive lesions, independent of lymphocytic infiltration. In multiple sclerosis, three independent cohorts (non-pathologic brain tissue, normal-appearing white matter, and blood) showed methylation abnormalities in the same stem-cell differentiation pathways disrupted in proven EBV-driven tumors and breast cancer. These findings identify virus-induced lineage misprogramming as an occult cross-disease mechanism supported by direct primary evidence.
medrxiv.org
2026-09-28
—
medrxiv.org
genetic and genomic medicine

Preprints
Title	DOI	Server	Authors	Journal	Abstract	PDF Link	Date Posted	Journal Link	Preprint Link	Subject Category
Pixel-Level Quantification of Subcutaneous Shear-Wave Velocity Heterogeneity for Grading Lymphatic Obstruction in Breast Cancer-Related Lymphedema	10.64898/2026.09.25.26364003	medRxiv	Hoe, Z. Y.; Chou, C.-P.; Tzeng, Y.-D.; Ding, R.-S.; Pan, C.-T.; Lee, M.-C.; Lee, C.-H.	—	Objectives: To develop and validate pixel data analysis (PDA) for reconstructing pixel-level shear-wave velocity (SWV) from saved Holder-Optimized Elastography (HOE) elastograms and to determine whether whole-field subcutaneous heterogeneity provides a quantitative signature of lymphatic obstruction compared with visual high-velocity-area (HVA) counting and sparse manual region-of-interest (ROI) sampling. Materials and Methods: In this cross-sectional study, 110 women after breast cancer surgery underwent lymphoscintigraphy and HOE, a pressure-minimized acquisition framework that preserves conventionally captured SWV information while additionally revealing spatial abnormalities attenuated by handheld acquisition. Reconstruction validation used 200 paired ROIs from 49 PACS-retrieved images spanning nearly the full displayed SWV range; reproducibility was assessed across 96 matched anatomical sites from 6 participants undergoing independently reacquired HOE examinations. PDA, visual HVA counting, and manual ROI sampling were evaluated on the same HOE-acquired elastograms in task-specific common complete-case cohorts. Results: PDA reconstructed machine-reported SWV with near-zero error (mean difference, +0.0009 m/s; mean absolute error, 0.0075 m/s; 95% limits of agreement, -0.0202 to +0.0221 m/s). For subcutaneous variance, interobserver/intraobserver ICCs were 0.718/0.799 for PDA and 0.161/0.560 for manual ROI sampling. In the primary no-versus-partial comparison (n = 93), forearm-pooled PDA subcutaneous variance ratio yielded the highest observed AUC (0.859; 95% CI, 0.772 - 0.947), compared with 0.820 for visual HVA counting and 0.769 for manual ROI sampling. PDA's subcutaneous variance ratio remained a leading feature across all three comparisons (AUC, 0.859 - 0.878), including partial-versus-total grading, where all three frameworks showed high discrimination. Conclusions: PDA accurately reconstructs pixel-level SWV from saved HOE elastograms and enables reproducible whole-field quantification of superficial SWE heterogeneity. Subcutaneous variance ratio was the leading quantitative PDA feature across lymphatic-obstruction comparisons and was particularly informative in partial obstruction. The same approach also enables retrospective quantitative reanalysis of compatible archived elastograms.	medrxiv.org	2026-09-28	—	medrxiv.org	radiology and imaging
Epigenetic misprogramming of cell differentiation links transient viral infection to chronic diseases across tissues	10.64898/2026.09.08.26362522	medRxiv	Friedenson, B.	—	Virus-induced epigenetic changes in stem-cell differentiation pathways emerge here as a shared mechanism linking fundamentally different chronic diseases, offering candidate biomarkers and new intervention targets. Chronic diseases increasingly trace back to transient viral exposure, yet unrelated pathologies also arise in tissues showing no signs of infection. Using Epstein-Barr virus (EBV), I show that different chronic EBV-associated diseases share epigenetic misprogramming within stem-cell differentiation hierarchies. These alterations propagate across diverse cell lineages, creating latent vulnerabilities unmasked by secondary insults. Breast cancer, long debated for possible EBV involvement, carries EBV-like methylation signatures in both precursor and invasive lesions, independent of lymphocytic infiltration. In multiple sclerosis, three independent cohorts (non-pathologic brain tissue, normal-appearing white matter, and blood) showed methylation abnormalities in the same stem-cell differentiation pathways disrupted in proven EBV-driven tumors and breast cancer. These findings identify virus-induced lineage misprogramming as an occult cross-disease mechanism supported by direct primary evidence.	medrxiv.org	2026-09-28	—	medrxiv.org	genetic and genomic medicine

Example data · Run in Studio for fresh results.

About bioRxiv

Search preprints finds bioRxiv and medRxiv preprints matching topic words in titles, abstracts, and subject categories.

Provide topic words and optionally a server, posting date range, and result limit; results appear newest first, with journal details when available.

Built by Fous from biorxiv.org and checked automatically; it last passed a check on Sep 29, 2026. Fous is not affiliated with bioRxiv.

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Search preprints

1 credit per run

Find bioRxiv and medRxiv preprints matching topic words within a posting date range, newest first. Published journal details appear when available.

What you provide

Field	Type	Required	Description
Query`query`	Text	Required	Topic words to find in preprint titles, abstracts, and subject categories, for example gut microbiome depression.Example: breast cancer
Server`server`	Text	Optional	Preprint server to search, for example both.Example: Medrxiv
End Date`end_date`	Date	Optional	Last posting date, inclusive, for example 2026-09-29. Defaults to today.Example: 2026-09-28
Start Date`start_date`	Date	Optional	First posting date, inclusive, for example 2026-09-01. Defaults to 30 days before today.Example: 2026-09-27
Max Results`max_results`	Number	Optional	Maximum number of matching preprints, for example 20.Example: 5

What you get

Field	Type	Description
Preprints`preprints`	List	Matching preprints, newest first.
DOI`preprints[].doi`	Text	Preprint DOI.Example: 10.64898/2026.09.25.26364003
Title`preprints[].title`	Text	Preprint title.Example: Pixel-Level Quantification of Subcutaneous Shear-Wave Velocity Heterogeneity…
Server`preprints[].server`	Text	bioRxiv or medRxiv.Example: medRxiv
Authors`preprints[].authors`	Text	Authors as credited by the preprint server.Example: Hoe, Z. Y.; Chou, C.-P.; Tzeng, Y.-D.; Ding, R.-S.; Pan, C.-T.; Lee, M.-C…
Journal`preprints[].journal`	Text	Journal name if subsequently published.Example: G3: Genes\|Genomes\|Genetics
Abstract`preprints[].abstract`	Text	Plain-text abstract.
PDF Link`preprints[].pdf_link`	Text	Direct link to the preprint PDF.Example: https://www.medrxiv.org/content/10.64898/2026.09.25.26364003v0.full.pdf
Date Posted`preprints[].date_posted`	Date	Date this version was posted.Example: 2026-09-28
Journal Link`preprints[].journal_link`	Text	Published journal article link if available.Example: https://doi.org/10.1093/g3journal/jkac008
Preprint Link`preprints[].preprint_link`	Text	Page for this preprint version.Example: https://www.medrxiv.org/content/10.64898/2026.09.25.26364003v0
Subject Category`preprints[].subject_category`	Text	Subject area.Example: radiology and imaging

Example result

For Query: breast cancer, Server: Medrxiv, End Date: 2026-09-28, Start Date: 2026-09-27, Max Results: 5

JSON

{
  "preprints": [
    {
      "doi": "10.64898/2026.09.25.26364003",
      "title": "Pixel-Level Quantification of Subcutaneous Shear-Wave Velocity Heterogeneity for Grading Lymphatic Obstruction in Breast Cancer-Related Lymphedema",
      "server": "medRxiv",
      "authors": "Hoe, Z. Y.; Chou, C.-P.; Tzeng, Y.-D.; Ding, R.-S.; Pan, C.-T.; Lee, M.-C.; Lee, C.-H.",
      "journal": null,
      "abstract": "Objectives: To develop and validate pixel data analysis (PDA) for reconstructing pixel-level shear-wave velocity (SWV) from saved Holder-Optimized Elastography (HOE) elastograms and to determine wheth…",
      "pdf_link": "https://www.medrxiv.org/content/10.64898/2026.09.25.26364003v0.full.pdf",
      "date_posted": "2026-09-28",
      "journal_link": null,
      "preprint_link": "https://www.medrxiv.org/content/10.64898/2026.09.25.26364003v0",
      "subject_category": "radiology and imaging"
    },
    {
      "doi": "10.64898/2026.09.08.26362522",
      "title": "Epigenetic misprogramming of cell differentiation links transient viral infection to chronic diseases across tissues",
      "server": "medRxiv",
      "authors": "Friedenson, B.",
      "journal": null,
      "abstract": "Virus-induced epigenetic changes in stem-cell differentiation pathways emerge here as a shared mechanism linking fundamentally different chronic diseases, offering candidate biomarkers and new interve…",
      "pdf_link": "https://www.medrxiv.org/content/10.64898/2026.09.08.26362522v0.full.pdf",
      "date_posted": "2026-09-28",
      "journal_link": null,
      "preprint_link": "https://www.medrxiv.org/content/10.64898/2026.09.08.26362522v0",
      "subject_category": "genetic and genomic medicine"
    }
  ]
}

For developers

Run this workflow from your own code. In Studio, turn on Developer mode and create an API key.

cURL

# First set your key: export FOUS_API_KEY='YOUR_FOUS_API_KEY'
: "${FOUS_API_KEY:?Set FOUS_API_KEY before running this example}"

curl 'https://api.fous.com/v1/query' \
  --fail-with-body --silent --show-error --max-time 120 \
  -H "Authorization: Bearer $FOUS_API_KEY" \
  -H 'Content-Type: application/json' \
  --data-raw '{
  "api": "@biorxiv",
  "visibility": "public",
  "operation": "search_preprints",
  "version": 1,
  "input": {
    "query": "breast cancer",
    "server": "medrxiv",
    "end_date": "2026-09-28",
    "start_date": "2026-09-27",
    "max_results": 5
  },
  "response": {
    "format": "json"
  }
}'

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Track new preprints on a research topic
Review preprint abstracts and author lists
Find preprints by posting date and subject area
Identify preprints with published journal details

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