Research Summary
Dr. Stevens’ vision is to apply Precision Medicine for the benefit of acutely and critically ill patients. His research seeks to identify signatures associated with trauma, surgery, and acute conditions such as stroke, cardiac arrest, and sepsis. To achieve this, he engages with an interdisciplinary team of basic and systems neuroscientists, biomedical and computer engineers, biostatisticians, data scientists, and neuroradiologists. One area of Dr. Stevens' research examines MRI features of the brain connectome to enhance classification and prediction in patients recovering from severe brain injury. Other projects use artificial intelligence methods to analyze features captured through physiologic monitoring, EEG, genomics, and wearable sensors. The overarching aim is to decode phenotypes and increase the accuracy of classification, prediction, and therapy in acutely ill patients. For more details visit our lab website https://lcicm.jhmi.edu/
Lab
Lab Website: Laboratory of Computational Intensive Care Medicine
Technology Expertise Keywords
Precision Heath; Data Science; Machine Learning; Brain Mapping
Clinical Trial Keywords
Precision Medicine; Data Science; Artificial Intelligence
Selected Publications
View all on PubMed
Bhattacharyay S, Rattray J, Wang M, Dziedzic PH, Calvillo E, Kim HB, Joshi E, Kudela P, Etienne-Cummings R, Stevens RD. Decoding accelerometry for classification and prediction of critically ill patients with severe brain injury. Sci Rep. 2021 Dec 8;11(1):23654. doi: 10.1038/s41598-021-02974-w. PMID: 34880296
Palepu AK, Murali A, Ballard JL, Li R, Ramesh S, Nguyen H, Kim H, Sarma S, Suarez JI, Stevens RD. Digital signatures for early traumatic brain injury outcome prediction in the intensive care unit. Sci Rep. 2021 Oct 7;11(1):19989. doi: 10.1038/s41598-021-99397-4. PMID: 34620915
Kondziella D, Menon DK, Helbok R, Naccache L, Othman MH, Rass V, Rohaut B, Diringer MN, Stevens RD; contributing collaborators of the Curing Coma Campaign. A Precision Medicine Framework for Classifying Patients with Disorders of Consciousness: Advanced Classification of Consciousness Endotypes (ACCESS). Neurocrit Care. 2021 Jul;35(Suppl 1):27-36. doi: 10.1007/s12028-021-01246-9. Epub 2021 Jul 8. PMID: 34236621
Güemes A, Ray S, Aboumerhi K, Desjardins MR, Kvit A, Corrigan AE, Fries B, Shields T, Stevens RD, Curriero FC, Etienne-Cummings R. A syndromic surveillance tool to detect anomalous clusters of COVID-19 symptoms in the United States. Sci Rep. 2021 Feb 25;11(1):4660. doi: 10.1038/s41598-021-84145-5. PMID: 33633250
Robba C, Poole D, McNett M, Asehnoune K, Bösel J, Bruder N, Chieregato A, Cinotti R, Duranteau J, Einav S, Ercole A, Ferguson N, Guerin C, Siempos II, Kurtz P, Juffermans NP, Mancebo J, Mascia L, McCredie V, Nin N, Oddo M, Pelosi P, Rabinstein AA, Neto AS, Seder DB, Skrifvars MB, Suarez JI, Taccone FS, van der Jagt M, Citerio G, Stevens RD. Mechanical ventilation in patients with acute brain injury: recommendations of the European Society of Intensive Care Medicine consensus. Intensive Care Med. 2020 Dec;46(12):2397-2410. doi: 10.1007/s00134-020-06283-0. Epub 2020 Nov 11. PMID: 33175276
