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Unregistered Lab
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A medical statistics lab that supports medical research with statistical methods.

AboutAbout the lab
Supporting the evaluation of treatments through medical statistics
The Unregistered Lab studies medical statistics methodology and data analysis for medical research.
Establishing a new treatment requires evaluating its efficacy and safety, and medical statistics methodology is used for that evaluation.
Working with genomic science specialists, the lab also conducts comprehensive gene expression analysis, with the aim of developing molecularly targeted cancer drugs.
Key terms
- Medical statistics
- Statistical methods for evaluating the efficacy and safety of treatments from medical research data
- Molecularly targeted drugs
- Drugs that act by targeting specific molecules involved in cancer
- Comprehensive gene expression analysis
- An analysis that examines the activity levels of many genes at once
ResearchResearch themes
Establishing a new treatment requires evaluating its efficacy and safety in medical research, and medical statistics methodology is used for that evaluation. The Unregistered Lab works on research into that methodology and on data analysis for medical research.
View More ↗MembersFaculty
The Unregistered Lab consists of faculty members and master's and undergraduate students.As of 2026
- Associate ProfessorUnregistered Unregistered
- Assistant ProfessorTomotaka Momosaki
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “DNA-microarray analysis” Bill Branson (Photographer) / Public domain (cropped)
- Medical statistics supporting medical research: “Tabletop centrifuge” Magnus Manske / CC BY 1.0 (cropped)
- Related lab (田畑研究室): “Inverted Dice, box and score sheet” BGA Player / CC0 (cropped)
- Related lab (宮田研究室): “Les 32 vents de Provence” Compo / CC BY-SA 4.0 (cropped)
- Related lab (宮本研究室): “Micron PC2700 DDR ECC REG” Mixabest / Public domain (cropped)
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