Measures Core

Clinical and Biological Measures of Aging
Geriatric assessment includes validated tools that have been established to identify factors which best predict important outcomes such as chemotherapy toxicity. The selection of the best tools for a particular planned study requires thoughtful discussion at conception. There is increasing recognition that aging bio-measures contribute to predicting important health outcomes in older adults.


  • Accelerate the pace of discovery and collaboration between investigators by providing resources to inform the use of appropriate clinical and biological measures of aging within the context of cancer and aging research
  • Validated clinical assessment tools to evaluate geriatric domains, such as physical function and cognitive status, are feasible to incorporate into oncology clinical trials


  • Provide resources and expertise on clinical and biological measures for new and established researchers in aging and cancer research.
  • Cultivate opportunities for mentorship and advance career development for junior investigators by connecting them to experts in the field and providing peer-to-peer mentoring and opportunities for collaboration
  • Facilitate opportunities for networking that will build stronger and broader transdisciplinary and trans-specialty collaborations
  • Develop strategies that align with existing resources in order to build a process that is feasible and sustainable.


Grant Williams, MD

Grant Williams, MD
Core Co-Chair

Nikesha Gilmore, PhD
Junior Investigator Lead

Allison Magnuson, DO

Chuck O’Shea
Patient Advocate Board: SCOREboard Member

Hyman Muss, MD

Lester Wakefield
Patient Advocate Board: SCOREboard Member

Mark LaBarge, PhD

Mohammed Al-Jumayli, MD

Selina Chow, MD

Thuy Koll, MD


  • Koll TT, Magnuson A, Dale W, LaBarge MA, Leach CR, Mohile S, Muss H, Sedenquist M, Klepin HD. Developing a clinical and biological measures of aging core: Cancer and aging research group infrastructure. J Geriatr Oncol. 2019 Sep 16;. doi: 10.1016/j.jgo.2019.09.006. [Epub ahead of print] PubMed PMID: 31537478. Link

Measures Categories Spreadsheet

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