2022

Global Health Innovations

  • THE TEAM

    Student Team: Jennifer Schultz, Benjamin Monteagudo, Lina Ngao, Hunter Hutchinson, and Zachary Plona

    Advisors: 

    ABSTRACT

    LaparoscopiX’s mission is to increase global access to safe and effective surgery by facilitating the adoption of minimally invasive surgery in COSECSA (College of Surgeons of East, Central, and Southern Africa) countries, by initially expanding upon laparoscopic surgical training in Kenya. We are developing a mobile platform application which takes trainees through the Fundamentals of Laparoscopic Surgery (FLS) curriculum to facilitate laparoscopic skills acquisition in a competitive gamified structure. Given that the majority of COSECSA institutes in Kenya are already in possession of laparoscopic training boxes, the app will be integrated into the trainees’ existing workflow, thus allowing sites to leverage their existing boxes to execute repeated training. Furthermore, a knowledge-based component will be integrated into the app to teach critical anatomy, steps to common laparoscopic procedures, and equipment storage and maintenance.

  • THE TEAM

    Student Team: 

    Advisors: 

    ABSTRACT

    Coming soon.

  • THE TEAM

    Student Team: 

    Advisors: 

    ABSTRACT

    Coming soon.

  • THE TEAM

    Student Team: Summer Duffy, Christina Hummel, Janis Lourovitski, Rebecca Rosenberg, Spencer Shumway, Joshua Blair

    Advisors: Soumyadipta Acharya

    ABSTRACT

    Malaria is a vector-borne disease, in which the malaria parasite is transmitted to humans through the bite of a female mosquito. Despite investments of $2 billion per year, there were still 228 million cases of malaria in 2018, resulting in over 400,000 deaths. Vector control is key to malaria prevention and elimination in sub-Saharan Africa. The appropriate distribution and implementation of vector control programs hinge on robust and widespread vector surveillance data coverage. Vector surveillance activities are limited because of a lack of trained entomologists to carry out this specialized work, thus hindering intervention decisions. VectorCam enables automatic mosquito identification to put vector surveillance in the hands of community health workers. VectorCam is a hardware-software field tool that aims to expand vector surveillance programs by deskilling the mosquito identification process. The tool allows users to snap an image of a mosquito with a smartphone, and using novel computer vision models, it provides defining characteristics of the specimen. This information is saved for high level visualization of surveillance efforts by decision makers.

  • THE TEAM

    Student Team: 

    Advisors: Soumyadipta Acharya

    ABSTRACT

    Coming soon.

 

U.S. Healthcare Innovations

Johns Hopkins University

Johns Hopkins University, Whiting School of Engineering

Department of Biomedical Engineering

Center for Bioengineering Innovation & Design

3400 North Charles Street, Baltimore, MD 21218-2608

410-516-8006 | [email protected]

The Johns Hopkins Center for Bioengineering Innovation & Design