Raimond Winslow, Ph.D.

Abstract

If the 20th century was the age of mapping and controlling the external world, the 21st century is the biomedical age of mapping and controlling the biological internal world. The biomedical age is bringing new technological breakthroughs for sensing and controlling human biomolecules, cells, tissues, and organs, which underpin new frontiers in the biomedical discovery, data, biomanufacturing, and translational sciences. This article reviews what we believe will be the next wave of biomedical engineering (BME) education in support of the biomedical age, what we have termed BME 2.0. BME 2.0 was announced on October 12 2017 at BMES 49 (https://www.bme.jhu.edu/news-events/news/miller-opens-2017-bmes-annual-meeting-with-vision-for-new-bme-era/). We present several principles upon which we believe the BME 2.0 curriculum should be constructed, and from these principles, we describe what view as the foundations that form the next generations of curricula in support of the BME enterprise. The core principles of BME 2.0 education are (a) educate students bilingually, from day 1, in the languages of modern molecular biology and the analytical modeling of complex biological systems; (b) prepare every student to be a biomedical data scientist; (c) build a unique BME community for discovery and innovation via a vertically integrated and convergent learning environment spanning the university and hospital systems; (d) champion an educational culture of inclusive excellence; and (e) codify in the curriculum ongoing discoveries at the frontiers of the discipline, thus ensuring BME 2.0 as a launchpad for training the future leaders of the biotechnology marketplaces. We envision that the BME 2.0 education is the path for providing every student with the training to lead in this new era of engineering the future of medicine in the 21st century… Continue reading.

Comparing four methods for predicting septic shock in children hospitalized with sepsis, Johns Hopkins researchers have found a newer machine-learning approach superior to an older one as well as to two conventional methods.

The top performer, the open-source XGBoost (for eXtreme Gradient Boosting), supplied accurate early predictions that, in clinical practice, would have given critical-care teams nearly nine hours to intervene preventively.

The researchers used data from more than 6,100 past patients of Johns Hopkins’s pediatric ICU to train and test the model retrospectively… Continue reading.

Complementing the acclaimed talent already assembled on its scientific leadership team, bioprinting startup BIOLIFE4D announced the addition of Raimond Winslow, Ph.D. whose vast expertise will help the company deliver on its mission to 3D bioprint a viable human heart suitable for transplant.

Winslow’s new role at BIOLIFE4D comes in addition to the leadership positions he holds at Johns Hopkins University where he is Founding Director of the Institute for Computational Medicine, and the Raj and Neera Singh Professor of Biomedical Engineering.

He earned a B.S. in electrical engineering from Worcester Polytechnic Institute and a Ph.D. in biomedical engineering from Johns Hopkins. He concluded his training at the Institute for Biomedical Computing and Department of Neurology within Washington University in St. Louis. He joined the faculty of Johns Hopkins in 1991 as an assistant professor, became an associate professor in 1994 and a full professor in 2000… Continue reading.