Malone Seed Grant Program
2019 – 2020 SEED GRANT INFORMATION
The Malone Center for Engineering in Healthcare is pleased to announce a call for proposals for the 2019-2020 academic year as part of its seed funding initiative to support research, expand collaboration among the Center affiliates, and create new partnerships with external collaborators.
The Malone Center Seed Grant Program aims to assist faculty and research staff with development of innovative, collaborative proposals that will advance the Malone Center mission. We encourage proposals which will create broader resources within the Center for the use of all our affiliates. We also welcome proposals which will help place the principal investigator (PI) and the research team in a good position to receive additional, external funding from federal agencies, foundations, and/or industry.
- Download a PDF version of the 2019 – 2020 Seed Grant Guidelines
*This grant is now open. Applications to the Malone Center Seed Grant Program may be submitted at any time during the year to MaloneSeedGrant@jhu.edu
The Malone Center Seed Grant Committee will review and make award decisions as follows:
- All proposals received before or on May 25, 2019 will be reviewed and considered for funding by Jun 30, 2019
- All proposals received before or on Sep 1, 2019 will be reviewed and considered for funding by Oct 1, 2019
- All proposals received before or on Feb 25, 2020 will be reviewed and considered for funding by Mar 30, 2020
Forward any questions related to the proposal preparation and submission and/or requests for additional information to the Malone Center Program Administrator, Vess Vassileva-Clarke at email@example.com
Past Seed Grant Awardees:
Prediction of Adverse Events in Cardiac Surgery
PI: Narges Ahmidi
Funding Dates: 01/01/2019 – 12/31/2019
The Cardiac Surgery Division at the Johns Hopkins Hospital is a highly complex organization that involves multi-disciplinary services and care teams. The Cardiac Surgery team is routinely monitoring their quality of care, forming and testing hypotheses as to which parts of the care system need to be more efficient. This Malone- funded project establishes the foundation to investigate and pinpoint inefficiencies in cardiac surgery care by analyzing comprehensive data sets taken from a large cohort of patients. Researchers and clinicians from the Malone Center and Cardiac Surgery team up to validate and investigate four potential inefficiencies in the Cardiac Surgery care system: (1) Prediction of length of stay, (2) Early diagnosis of Heparin Induced Thrombocytopenia (HIT), (3) Measuring deviation from routine daily pathways, and (4) Prediction of Bounce-back patients to ICU. The larger goal of the project is to explore new data-driven approaches to improve the quality and efficiency of care for cardiac surgery patients.
Developing and Piloting Therapies for Hand Dexterity Rehabilitation
Co-PIs: Jing Xi and Iulian Iordachita
Funding Dates: 04/01/2018 – 03/31/2019
Recent studies show that hand dexterity and strength recover mostly within the first three months after stroke, and that these two critical components of hand function are supported by separate biological systems. However, in most stroke patients, dexterous hand function does not fully recover with the standard rehabilitation therapy. These findings strongly suggest the need for intense rehabilitation targeting hand dexterity in the early post-stroke stages. Currently, the stroke rehabilitation field is missing effective tools to meet this need. Researchers from the Malone Center and the Brain, Learning, Animation, and Movement Laboratory (BLAM) are conducting pilot studies on the Hand Articulation Neurotraining Device (HAND), a portable rehabilitation device for the hand, which can be used in various clinical settings, starting within the hospital, immediately after brain injury, and after discharge, in the patient’s home.
SpineCloud: An Image-Analytic Approach to Improving Spine Surgery Outcomes
PI: Jeff Siewerdsen
Funding Dates: 04/01/2018 – 09/30/2018
The overall goal of the SpineCloud project is to gain understanding and predictive power of the factors underlying spine surgery outcomes – particularly the unacceptably broad variability associated with spinal fusion. Such capability will yield evidence-based insight and decision support to improve patient selection, enable more optimal surgical planning, identify perioperative sentinel factors, and help to guide the most effective post-operative, therapeutic, and rehabilitative process on a patient-specific basis. The SpineCloud project aims to curate a database consisting of patient demographic data, image and specific anatomy, surgical procedures, and pathologies. By developing this data-intensive approach to future spine surgeries, SpineCloud will provide more favorable and consistent outcomes for patients.