News

September 2017

September 18, 2017
BME PhD student Cosmas Mwikirize received a best paper award at the 2017 MICCAI conference workshop on Clinical Image-based Procedures. The paper was reporting on a machine learning method for automatic and accurate localization of needles with 3D ultrasound data. Cosmas is part of the CompAST laboratory and is supervised by Prof. Hacihaliloglu. The annual MICCAI meeting is the premier conference in medical image computing and computer assisted interventions.

August 2017

August 30, 2017
Professor Ilker Hacihaliloglu received a $92,000 Young Investigator Basic Research award from the North American Spine Society (NASS) for 'Real-Time Non-Radiation Based Navigation Using 3D Ultrasound for Pedicle Screw Placement'. The primary aim of the project is to investigate the feasibility of using ultrasound as an intra-operative imaging modality for spinal fusion surgeries. 
August 15, 2017
A pair of BME faculty have been selected to represent Rutgers as Fellows in the Big Ten Academic Alliance. Helen Buettner will serve as a fellow in the Academic Leadership Program. David Shreiber will serve in the Department Executive Officers program.
August 14, 2017
A patent was issued to Professors Martin Yarmush, Francois Berthiaume, Rene Schloss, Tim Maguire, and former BME students Nir Nativ and Gabriel Yarmush, entitled, "In Vitro Model of Macrosteatotic (Fatty) Liver” (US patent number 09709554). The invention describes the development of an in vitro model for macrosteatosis which can be used for identifying compounds for defatting and functional recovery of fatty hepatocytes (liver cells). 
August 8, 2017
Professor Adam Gormley has been awarded an American Cancer Society – Institutional Research Grant Early Investigator Pilot Award. This one-year $50,000 grant is to support development of bioactive nanomedicines that target receptor proteins on cancer cells.
August 8, 2017
Professor Adam Gormley has been awarded a two-year, $40,000 Busch Biomedical Grant to develop novel polymers that can interface with and manipulate receptor proteins as therapeutics. 
August 4, 2017
Dr. Hacihaliloglu has been awarded the 2017 American Cancer Society – Institutional Research Grant Early Investigator Pilot Award, which is a one-year $50,000 grant. Together with his collaborators from Rutgers Robert Wood Johnson Medical School (John Nosher, Eric Singer) and Rutgers Cancer Institute of New Jersey (David Foran), Dr. Hacihaliloglu will develop new machine learning methods for accurate and robust classification of liver and kidney cancer from 3D ultrasound data.
August 4, 2017
Dr. Ilker Hacihaliloglu has been awarded a two-year, $40,00 Busch Biomedical Grant for his project entitled “Learning-based Computational 3D Ultrasound Imaging Platform for Percutaneous Needle Guidance”. Together with collaborator Dr. John Nosher (Department of Radiology, Rutgers Robert Wood Johnson Medical School) Dr. Hacihaliloglu will develop new computational methods for processing three-dimensional (3D) radiofrequency ultrasound data for robust visualization and localization of needles for continuous, real-time and accurate guidance to anatomical structures.
August 2, 2017
Department of Biomedical Engineering assistant professor Ronke Olabisi was among eight “STEM luminaries” featured in the December 2016 issue of Vanity Fair. “Saluting a New Guard of STEM Stars” was co-sponsored by IBM to celebrate the film Hidden Figures, which tells the story of the contributions African-American women made to the space race of the 1950s and 1960s, by highlighting today’s accomplished women scientists and engineers who are “working for expanded inclusion for the next generation.”

July 2017

July 31, 2017
Professor Martin Yarmush and colleagues from Massachusetts General Hospital have been awarded a 4-year, $1,539,000 research grant from the NIH for a project entitled, "High subzero preservation of liver for transplantation”. The project proposes a method for preserving mammalian organs which employs hibernating and freeze-tolerant strategies from nature, that are further augmented using bioengineering principles. 

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