Raimond Winslow

About

Professor Raimond Winslow serves as the Director of Life Science and Medicine Research at the Roux Institute in Portland, Maine. He joined the Roux Institute from his role as the Raj and Neera Singh Professor of Biomedical Engineering at The Johns Hopkins University School of Medicine, where he was the Founding Director of the Institute for Computational Medicine at The Johns Hopkins University School of Medicine and Whiting School of Engineering. His research focuses on the use of computational modeling to understand the molecular mechanisms of cardiac arrhythmias and sudden cardiac death. Additionally, he applies modeling methods to predict the evolution of a patient’s health status over time and to identify impending adverse events before they occur. Professor Winslow holds a PhD in Biomedical Engineering from The Johns Hopkins University School of Medicine and a BS in Electrical Engineering from Worcester Polytechnic Institute. He is a Fellow of the American Heart Association, the American Institute for Medical and Biological Engineering, and the Biomedical Engineering Society.

Research topics

• Medicine
• Internal medicine
• Intensive care medicine
• Psychology
• Emergency medicine
• Mathematics

Selected publications

• Grand Challenges at the Interface of Engineering and Medicine

  IEEE Open Journal of Engineering in Medicine and Biology · 2024-01-01 · 22 citations

  articleOpen access

  Over the past two decades Biomedical Engineering has emerged as a major discipline that bridges societal needs of human health care with the development of novel technologies. Every medical institution is now equipped at varying degrees of sophistication with the ability to monitor human health in both non-invasive and invasive modes. The multiple scales at which human physiology can be interrogated provide a profound perspective on health and disease. We are at the nexus of creating "avatars" (…

  PublisherOA PDFDOI

• Visualizing Decisions and Analytics of Artificial Intelligence based Cancer Diagnosis and Grading of Specimen Digitized Biopsy: Case Study for Prostate Cancer 

  2023-03-26 · 8 citations

  article

  The rise in Artificial Intelligence (AI) and deep learning research has shown great promise in diagnosing prostate cancer from whole slide image biopsies. Intelligent application interface for diagnosis is a progressive way to communicate AI results in the medical domain for practical use. This paper aims to suggest a way to integrate state-of-the-art deep learning algorithms into a web application for visualizations of decisions and analytics of an AI based algorithms applied on cancer digitize…

  PublisherDOI

• Critical Requirements for the Initiation of a Cardiac Arrhythmia in Rat Ventricle: How Many Myocytes?

  Cells · 2022-06-09 · 6 citations

  articleOpen access

  Cardiovascular disease is the leading cause of death worldwide due in a large part to arrhythmia. In order to understand how calcium dynamics play a role in arrhythmogenesis, normal and dysfunctional Ca2+ signaling in a subcellular, cellular, and tissued level is examined using cardiac ventricular myocytes at a high temporal and spatial resolution using multiscale computational modeling. Ca2+ sparks underlie normal excitation–contraction coupling. However, under pathological conditions, Ca2+ spa…

  PublisherOA PDFDOI

• TRIM28-dependent developmental heterogeneity determines cancer susceptibility through distinct epigenetic states

  Nature Cancer · 2025-01-24 · 5 citations

  articleOpen access

  Mutations in cancer risk genes increase susceptibility, but not all carriers develop cancer. Indeed, while DNA mutations are necessary drivers of cancer, only a small subset of mutated cells go on to cause the disease. To date, the mechanisms underlying individual cancer susceptibility remain unclear. Here, we took advantage of a unique mouse model of intrinsic developmental heterogeneity (Trim28+/D9) to investigate whether early-life epigenetic variation influences cancer susceptibility later i…

  PublisherOA PDFDOI

• A data-driven model for early prediction of need for invasive mechanical ventilation in pediatric intensive care unit patients

  PLoS ONE · 2023-08-04 · 5 citations

  articleOpen accessSenior authorCorresponding

  RATIONALE: Acute respiratory failure is a life-threatening clinical outcome in critically ill pediatric patients. In severe cases, patients can require mechanical ventilation (MV) for survival. Early recognition of these patients can potentially help clinicians alter the clinical course and lead to improved outcomes. OBJECTIVES: To build a data-driven model for early prediction of the need for mechanical ventilation in pediatric intensive care unit (PICU) patients. METHODS: The study consists of…

  PublisherOA PDFDOI

Recent grants

• NIH Grant R01HL060133

  NIH · $1.9M · 2007

• NIH Grant P01HL081427

  NIH · $9.1M · 2011

• NIH Grant R01HL105216

  NIH · $3.0M · 2015

Frequent coauthors

• Joseph L. Greenstein

  Johns Hopkins University

  168 shared

• Brian O’Rourke

  Johns Hopkins Medicine

  63 shared

• David G. Strauss

  Center for Drug Evaluation and Research

  52 shared

• Nathan Mewton

  Laboratoire CarMeN

  52 shared

• Kathérine C. Wu

  Johns Hopkins University

  52 shared

• João A.C. Lima

  Johns Hopkins Medicine

  51 shared

• Tony Killian

  Hospital of the University of Pennsylvania

  49 shared

• Francis E. Marchlinski

  49 shared

Labs

• Roux Institute Life Science and Medicine ResearchPI

Awards & honors

• American Heart Association, Fellow
• American Institute for Medical and Biological Engineering, F…
• Biomedical Engineering Society, Fellow
• Stanford University Top 2% of Most-Cited Scientists (2025)
• Stanford University Top 2% of Most-Cited Scientists (2024)

Similar researchers at Northeastern University

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• Neel Joshih-60
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