News
Machine learning tool gives early warning of cardiac issues in COVID-19 patients
New algorithm could warn doctors in advance of cardiac arrest or blood clots in hospitalized COVID-19 patients.
New algorithm could warn doctors in advance of cardiac arrest or blood clots in hospitalized COVID-19 patients.
Eric recently competed in and won the Young Investigator Award Competition at the 2020 Asia-Pacific Heart Rhythm Society Virtual Congress!
Hugh Calkins (Johns Hopkins Medical Institutions, Baltimore, USA) told delegates attending the AF Symposium 2020 (23–25 January, Washington, DC, USA) that cryoablation with the Arctic Front catheter (Medtronic) was a safe and effective approach for managing persistent atrial fibrillation (AF). He added that the procedure also improves quality of life and reduces symptoms.
Biomedical engineer recognized for her work developing 3D virtual heart models for patients with irregular heartbeats.
In proof-of-concept study of 10 patients with atrial fibrillation, personalized models accurately predict where surgeons should destroy diseased heart tissue.
The professor of biomedical engineering is one of only five women worldwide to be inducted this year.
Natalia Trayanova will be inducted into the Women in Technology Hall of Fame in a ceremony on June 10, 2019.
Read about her award from the Whiting School. Read more…
The award recognizes individuals who have made major contributions to the advancement of scientific knowledge in the field of cardiac pacing and/or cardiac electrophysiology.
We are seeking highly motivated PhDs with training in computational cardiac electrophysiology or machine learning. Successful candidates will have strong programming and analytical skills. Strong publication record and training to perform independent research are required for further consideration. The fellow and/or research scientist will take ownership of basic-science or translational Read more…