Here's the third (and last!) entry in a series of blog posts on the #cdisc Dataset-JSON standard. This entry goes over the REST API component and potential issues with it.

Pushing for the future of #clinicaltrial #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch) and better workflows for running those trials.

https://brianrepko.github.io/blog/posts/2026-03-11-datasetjson-part3/

Dataset-JSON – Learning, Thinking, and Coding

Part 3 - the REST API (and issues)

Gaming the peer review system: Evidence for a review mill in medicine highlights the need to ensure reviewer integrity – InfoDoc MicroVeille

PreprintToPaper dataset: connecting bioRxiv preprints with journal publications – InfoDoc MicroVeille

Job Alert

Wissenschaftliche Mitarbeitende/ Postdoc (m/w/d) Klinik und Poliklinik für Dermatologie

Deadline: 2026-03-19
Location: Germany - Dresden  

https://www.academiceurope.com/ads/wissenschaftliche-mitarbeitende-postdoc-m-w-d-klinik-und-poliklinik-fur-dermatologie/

#hiring #Postdoc #BiomedicalResearch #CancerResearch #Dermatology #LifeSciences #MolecularBiology

Researchers’ Views on Preprints and Open Access Publishing: Results From a Free-Answer Survey of Japanese Molecular Biologists – InfoDoc MicroVeille

A study in Nature shows that M101—an oxygen carrier from the marine worm *Arenicola marina*—significantly reduces inflammation and tissue destruction caused by *P. gingivalis*. A promising step for periodontal therapy! 🧫🌊🦷

Read more: https://www.nature.com/articles/s41598-020-71593-8
#Periodontitis #Inflammation #BiomedicalResearch #ScienceNews

A therapeutic oxygen carrier isolated from Arenicola marina decreased P. gingivalis induced inflammation and tissue destruction - Scientific Reports

The control of inflammation and infection is crucial for periodontal wound healing and regeneration. M101, an oxygen carrier derived from Arenicola marina, was tested for its anti-inflammatory and anti-infectious potential based on its anti-oxidative and tissue oxygenation properties. In vitro, no cytotoxicity was observed in oral epithelial cells (EC) treated with M101. M101 (1 g/L) reduced significantly the gene expression of pro-inflammatory markers such as TNF-α, NF-κΒ and RANKL in P. gingivalis-LPS stimulated and P. gingivalis-infected EC. The proteome array revealed significant down-regulation of pro-inflammatory cytokines (IL-1β and IL-8) and chemokine ligands (RANTES and IP-10), and upregulation of pro-healing mediators (PDGF-BB, TGF-β1, IL-10, IL-2, IL-4, IL-11 and IL-15) and, extracellular and immune modulators (TIMP-2, M-CSF and ICAM-1). M101 significantly increased the gene expression of Resolvin-E1 receptor. Furthermore, M101 treatment reduced P. gingivalis biofilm growth over glass surface, observed with live/dead analysis and by decreased P. gingivalis 16 s rRNA expression (51.7%) (p < 0.05). In mice, M101 reduced the clinical abscess size (50.2%) in P. gingivalis-induced calvarial lesion concomitant with a decreased inflammatory score evaluated through histomorphometric analysis, thus, improving soft tissue and bone healing response. Therefore, M101 may be a novel therapeutic agent that could be beneficial in the management of P. gingivalis associated diseases.

Nature

Here's the second entry in a series of blog posts on the #cdisc Dataset-JSON standard. This entry goes over potential issues with the specification.

Pushing for the future of #clinicaltrial #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch).

Here's to moving past 1989 file formats in ... 2026 - in SAS, R, or Python!

https://brianrepko.github.io/blog/posts/2026-01-15-datasetjson-part2/

Dataset-JSON – Learning, Thinking, and Coding

Part 2 - potential issues and challenges

First entry in a series of blog posts on the #cdisc Dataset-JSON standard. Diving in on the future of #clinical #research #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch)

https://brianrepko.github.io/blog/posts/2025-12-31-datasetjson-part1/

Dataset-JSON – Learning, Thinking, and Coding

Part 1 - intro to the series

Scientists have grown a tiny human "blood factory" that actually works—an advanced 3D bone marrow model made entirely from human cells! This breakthrough promises to reduce animal testing and could revolutionize blood cancer research and personalized treatments. 🩸🦴🔬 #BiomedicalResearch #Innovation https://www.sciencedaily.com/releases/2025/11/251120092103.htm
#newz
Scientists grow a tiny human “blood factory” that actually works

Researchers have recreated a miniature human bone marrow system that mirrors the real structure found inside our bones. The model includes the full mix of cells and signals needed for blood production and even maintains this process for weeks. It could transform how scientists study blood cancers and test new drugs. In the future, it may support more personalized treatment strategies.

ScienceDaily
Preprint policies across journals and publishers in ecology and evolutionary biology – InfoDoc MicroVeille