Big Data and Bone Fracture Risk

Catalog #STO-159

Explore how “big data” could be used to predict bone fracture risk.

Time To Complete Time to complete: 2-3 forty-minute class periods

A “big data” research study collects information from many individuals and a variety of sources over an extended period of time.  Big data research has the potential to predict, prevent, or treat disease.  Analysis of big data sets may reveal factors associated with increased risks for health problems such as bone fractures.

  • Investigate factors that could be used to predict bone fracture risk.
  • Conduct simulated medical tests, record data, and analyze data.
  • Explore how big data sets may reveal other factors that could be used to understand bone fracture risk.
Teacher Guide Know Before You Buy! Download Teacher Guide

Limit 1 free sample per customer

Quantity Price
1 - 9$17.51 ea.
10 - 24$16.63 ea.
25 - 1000$15.76 ea.

Each assembled kit contains:

  • Interpreting Bone Density T-Scores
  • Hip Bone X-Ray Images
  • Graphs: Bone Fracture Risks
  • Instructions for Blood Plasma Tests
  • Instructions for Bone Marker Test
  • Data from Electronic Sources
  • 4 tubes of simulated Blood Plasma
  • 4 simulated Blood Plasma Test Strips
  • Tube of simulated Bone Marker Test Solution
  • 5 labeled droppers
  • Bone Marker Test Sheet

Also required: safety goggles

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Refill Your Kit

Big Data and Bone Fracture Risk – Pack of 10 Unassembled Kits

Catalog # STO-159U

Unassembled packs contain materials for 10 kits.

  • All supplies, lab materials, and printed labels
  • Student instructions copy master
  • Easy to follow instructions for kit assembly
Quantity Price
1 - 9$139.05 ea.
10 - 1000$132.10 ea.

Big Data and Bone Fracture Risk – 10 Kit Refill Pack

Catalog # STO-159R

Refill packs contain materials to replace consumable supplies for 10 kits.

Quantity Price
1 - 9$59.74 ea.
10 - 1000$56.75 ea.

Teacher Testimonial

These kits cover pertinent topics and include literacy and inquiry.

- High school biology teacher (NY)

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STO-159