Professor Martin Yarmush and colleagues at the Massachusetts General Hospital have been awarded a 4-year $1,605,506 research grant from the National Institute of Health for a project entitled, "Recellularization of Liver Bioscaffolds." The project’s goal is to engineer transplantable human liver grafts for treating liver dysfunction and failure, and the central hypothesis to be tested here is that the natural liver scaffold derived from discarded livers can be extensively repopulated with hepatocytes and non-parenchymal cells and that these grafts can perform essential liver functi
September 25, 2017
September 19, 2017
A patent was issued to Professor Noshir Langrana, Devendra Verma and Michelle Previtera, entitled, "Biomaterial and Methods of use Thereof for the Prevention of Post-Operative Adhesions” (US Patent Number 9,757,499). The invention describes the development a novel biodegradable and non-toxic polyelectrolyte complex (PEC) biomaterials that have anti-adhesive and anti-inflammatory properties. PEC-based films are strong and flexible and can be inserted postoperatively as physical barrier between tissues and organs at the wound site.
September 18, 2017
A patent was issued to Professor Martin Yarmush and former Rutgers colleagues and students, Tim Maguire, Stanley Dunn, Kevin Nikitczuk, and Eric Novik, entitled, "Automated Vessel Puncture Device using 3-D Near Infrared Imaging and a Robotically Driven Needle” (US Patent Number 9743875). The invention describes the development of automated robotic venipuncture device containing three major components: (1) an imaging system; (2) an automated robotic end-effector unit; and (3) a computer (controller and interface).
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 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.