Anwesha Chaudhury (Higgins Lab) has been awarded a Research Fellowship from the Life Sciences Research Foundation for her project “Mathematical modeling of white blood cell population dynamics for disease prognosis.” According to the foundation, “Every year our selection committee of renowned scientists identify the top 5% of applicants from an international pool of more than 1000 postdoctoral applicants.”
Our latest paper - Malka, Nathan, and Higgins. “Mechanistic modeling of hemoglobin glycation and red blood cell kinetics enables personalized diabetes monitoring”. 5 October 2016, Science Translational Medicine. 8, 359ra130 (2016)- is now accessible for free:
Roy Malka from the Higgins Lab, has won the prize for best MGH Pathology poster from a resident or fellow this year for his abstract entitled “Patient-Specific Inference of Average Glucose from Glycated Hemoglobin: Toward Personalized Diabetic Monitoring with Precision Laboratory Medicine”. Congratulations, Roy!
Recent paper by the Higgins Lab “Modulation of red blood cell population dynamics is a fundamental homeostatic response to disease” is featured in the MGH press release. (pdf)
Harsh Patel (from Higgins Lab) presented an abstract at the Annual Meeting of the American Association of Clinical Chemistry, and the abstract was selected as an “NACB Distinguished Abstract.” Only 38 out of 903 abstracts received that award.
Congratulations to John Higgins, MD on being selected as a 2012 NIH Director’s New Innovator Award recipient! This Award is created "to support exceptionally creative new investigators who propose highly innovative projects that have the potential for unusually high impact".
"Mathematical model of the life cycle of red blood cells may predict risk of anemia" - HMS News Alert features report published online in PNAS Early Edition by John Higgins, MD, MGH Center for Systems Biology and Department of Pathology, and L. Mahadevan, PhD, Harvard School of Engineering and Applied Sciences. (pdf)
CSB welcomes John Higgins, MD. His Lab will study the dynamics of human pathophysiologic processes by developing mathematical descriptions of complex human disease phenotypes and how they change over time.