Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Rifaquat Musaffa Rahman, M.D.

Concepts

This page shows the publications Rifaquat Rahman has written about Aged, 80 and over.
Connection Strength

0.106
  1. Prediction of Outcomes with a Computational Biology Model in Newly Diagnosed Glioblastoma Patients Treated with Radiation Therapy and Temozolomide. Int J Radiat Oncol Biol Phys. 2020 11 01; 108(3):716-724.
    View in: PubMed
    Score: 0.036
  2. Incidence, risk factors, and reasons for hospitalization among glioblastoma patients receiving chemoradiation. J Neurooncol. 2015 Aug; 124(1):137-46.
    View in: PubMed
    Score: 0.026
  3. Histogram analysis of apparent diffusion coefficient within enhancing and nonenhancing tumor volumes in recurrent glioblastoma patients treated with bevacizumab. J Neurooncol. 2014 Aug; 119(1):149-58.
    View in: PubMed
    Score: 0.024
  4. Radiologic predictors of immune checkpoint inhibitor response in advanced head and neck squamous cell carcinoma. Oral Oncol. 2018 10; 85:29-34.
    View in: PubMed
    Score: 0.008
  5. Quantitative imaging biomarkers for risk stratification of patients with recurrent glioblastoma treated with bevacizumab. Neuro Oncol. 2017 Nov 29; 19(12):1688-1697.
    View in: PubMed
    Score: 0.008
  6. Recurrent glioblastoma: volumetric assessment and stratification of patient survival with early posttreatment magnetic resonance imaging in patients treated with bevacizumab. Cancer. 2013 Oct 01; 119(19):3479-88.
    View in: PubMed
    Score: 0.006
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.