Michigan Tech will receive $4.3 million to help the state of Michigan expand sequencing for COVID-19 and other infectious diseases.
The Michigan Department of Health and Human Services (MDHHS) announced that MTU is one of four Michigan universities receiving $18.5 million in federal funds over the next two years to collect and analyze genomic data to address emerging infectious disease threats and enhance the state’s ability to respond to those threats.
With Michigan State University, the University of Michigan, and Wayne State University, Tech will use the funding to increase sequencing capacity in the state — starting with SARS-CoV-2 and then expanding to other infectious disease threats with potential for broad community spread.
Michigan Tech’s research team includes co-principal investigators Caryn Heldt (ChE/HRI), Dukka KC (CS) and Hairong Wei (CFRES/ICC-BDH, DataS), and senior researchers Kristin Brzeski (CFRES), Guy Hembroff (AC-BDH, CyberS), Kelly Kamm (KIP), Stephen Techtmann (BioSci) and Kui Zhang (Math/ICC-BDH).
Read more at mtu.edu/news.
Due to inclement weather, this lecture will be presented via Zoom only: https://michigantech.zoom.us/j/81660504082
The ICC’s Joint Center for Biocomputing and Digital Health will present a Monday afternoon lecture series beginning October 25, 2021, with a talk from Dr. Traci Yu (BME) who will present, “Optimization of Deep Brain Stimulation Therapy: Application of Neural Computing.” The lecture will take place in Rekhi Hall, Room 214.
On May 18, 2021, Dr. Guy Hembroff, Applied Computing, presented an invited talk at a meeting of Michigan’s Health Information Management Systems Society (HIMSS). Dr. Hembroff discussed his work developing a trusted framework architecture designed to improve population health management and patient engagement.
The talk demonstrated his team’s work in the development of accurate geo-tagged pandemic prediction algorithms, which are used to help coordinate medical supply chains to care for patients most vulnerable to COVID-19, an innovation that can be extended to help improve general population health management.
The framework of the pandemic prediction architecture, which aggregates longitudinal patient health data, including patient generated health data and social determinants of health, is a holistic and secure mHealth community model. The model can help Michigan residents overcome significant barriers in healthcare, while providing healthcare agencies with improved and coordinated population management and pandemic prediction.
The architecture’s machine learning algorithms strategically connect residents to community resources, providing customized health education aimed to increase the health literacy, empowerment and self-management of patients. The security of the architecture includes development of unique health identifiers and touch-less biometrics capable of large-scale identity management.
Dr. Guy Hembroff is an associate professor in the Applied Computing department of the Michigan Tech College of Computing, and director of the Health Informatics graduate program. His areas of expertise are network engineering, medical/health informatics, biometric development, intelligent medical devices, data analytics, and cybersecurity.
The event was sponsored by HIMSS and Blue Cross Blue Shield of Michigan (BCBSM).
A mission-driven non-profit, the Healthcare Information and Management Systems Society, Inc. (HIMSS) is a global advisor and thought leader supporting the transformation of the health ecosystem through information and technology, according to the organization’s website.