https://www.omagdigital.com/publication/?i=189294&p=3
pgs 517-523
Congratulations to Ms. Baldock and the team! IDH1 paper receives kudos in an editorial in NeuroOncology! (Published April 15, 2014)
The Article made the cover of June 2014 Issue!
https://neuro-oncology.oxfordjournals.org/content/current
Lab receives Dixon Translational Research Grant for Patient-Specific Mathematical Modeling of Pediatric High Grade Gliomas
https://www.nucats.northwestern.edu/about/newsroom-content/2013-news/december-2013/2014-dixon-translational-research-grant-awards-announced.html
MNO Lecture Series: April 14th 2014 – Jacob G. Scott MD
The Mathematical Neuro-Oncology Research Lab Presents:
JACOB G. SCOTT, MD
Departments of Radiation Oncology and Integrated Mathematical Oncology
H. Lee Moffitt Cancer Center
Mathematical modeling of glioma cancer stem cell evolutionary dynamics and the non-genetic determinants of the metastatic process
Monday, April 14th, 2014
11am – 12 noon
Arkes Pavilion,
676 n. Saint Clair St. Suite 1300
Mathematical Neuro-Oncology Lab
Jacob Scott is a research associate in the department of radiation oncology at H. Lee Moffitt Cancer Center in Tampa Florida and is currently working on a Doctoral degree in mathematics at Oxford University at the Centre for Mathematical Biology. Dr. Scott began his academic career in the fields of physics and engineering before entering medical school. As a trained clinician and scientist, Dr. Scott pursues a combination of basic and clinical research with the hope that each motivates and strengthens the other.
The focus of Dr. Scott’s research is building theoretical models of cancer with Integrative Mathematical Oncology – a group headed by Alexander (Sandy) Anderson, Ph.D. that focuses on applying mathematical and evolutionary models to the study of cancer. Dr. Scott finds that spending time doing a combination of theoretical cancer research and patient care keeps him thinking outside the box in the clinic, but keeps theoretical questions grounded to ideas that can be translated to patient care.
Dr. Scott is active in social media. Follow him on twitter at
@CancerConnector
Congratulations Dr. Pamela Jackson on her NIH Award!
Dr. Pamela Jackson just received the “Research Supplement to Promote Diversity in Health-Related Research” .
Introducing Dr. Russell Rockne
Congratulations to Russ Rockne who successfully defended his dissertation “Toward Patient-Specific Mathematical Radiation Oncology”!!
Tuesday, June 25, 2013– Dr. Swanson presents a Seminar at the Lurie Children’s Hospital
TUESDAY, JUNE 25, 2013
Room 16107: 16th Floor (By the Tower Elevators) 7:30 AM to 9 AM
“DISCRIMINATING SURVIVAL OUTCOMES IN PATIENTS WITH GLIOBLASTOMA USING A SIMULATION-BASED PATIENT-SPECIFIC RESPONSE METRIC”
By
KRISTIN RAE SWANSON, PhD
&
“FERTILITY PRESERVATION OPTIONS FOR YOUNG WOMEN AND GIRLS DIAGNOSED WITH CANCER”
By
MARY ELLEN PAVONE, MD, MSCI
Modeling glioma-associated edema during anti-angiogenic therapy
Modeling glioma-associated edema during anti-angiogenic therapy
Andrea Hawkins-Daarud, Russell Rockne, Alexander R. A. Anderson, Kristin R. Swanson
Frontiers in Molecular and Cellular Oncology, 3(66), 2013 doi: 10.3389/fonc.2013.00066 *Ranked as #1 Paper in this journal – May 2013
https://www.frontiersin.org/Molecular_and_Cellular_Oncology/10.3389/fonc.2013.00066/abstract
From Patient-Specific Mathematical Neuro-Oncology Towards Precision Medicine
From Patient-Specific Mathematical Neuro-Oncology Towards Precision Medicine.
Anne L. Baldock, Russell Rockne, Addie Boone, Maxwell Neal, Maciej. M. Mrugala, Jason K. Rockhill, Kristin R. Swanson
Frontiers in Molecular and Cellular Oncology, 2013 3(62) doi: 10.3389/fonc.2013.00062 *Ranked as #3 Paper in this journal – May 2013
https://www.frontiersin.org/molecular_and_cellular_oncology/10.3389/fonc.2013.00062/abstract
Congratulations to Ms. Baldock on her new paper in Frontiers in Oncology
From patient-specific mathematical neuro-oncology to precision medicine
A. L. Baldock1,2, R. C. Rockne1,2,7, A. D. Boone3, M. L. Neal3,4, A. Hawkins-Daarud1,2, D. M. Corwin1,2, C. A. Bridge1,2, L. A. Guyman1,2, A. D. Trister5, M. M. Mrugala6, J. K. Rockhill5 and K. R. Swanson1,2,7*
- 1Department of Neurological Surgery, Northwestern University, Chicago, IL, USA
- 2Brain Tumor Institute, Northwestern University, Chicago, IL, USA
- 3Department of Pathology, University of Washington, Seattle, WA, USA
- 4Department of Medical Education and Biomedical Informatics, University of Washington, Seattle, WA, USA
- 5Department of Radiation Oncology, University of Washington, Seattle, WA, USA
- 6Department of Neurology, University of Washington, Seattle, WA, USA
- 7Department of Applied Mathematics, University of Washington, Seattle, WA, USA
Gliomas are notoriously aggressive, malignant brain tumors that have variable response to treatment. These patients often have poor prognosis, informed primarily by histopathology. Mathematical neuro-oncology (MNO) is a young and burgeoning field that leverages mathematical models to predict and quantify response to therapies. These mathematical models can form the basis of modern “precision medicine” approaches to tailor therapy in a patient-specific manner. Patient-specific models (PSMs) can be used to overcome imaging limitations, improve prognostic predictions, stratify patients, and assess treatment response in silico. The information gleaned from such models can aid in the construction and efficacy of clinical trials and treatment protocols, accelerating the pace of clinical research in the war on cancer. This review focuses on the growing translation of PSM to clinical neuro-oncology. It will also provide a forward-looking view on a new era of patient-specific MNO.