Research in the Mary Catherine Beach Lab focuses on humanizing healthcare through investigation of patient-provider communication and relationships. Current research involves investigating the theoretical foundations of respect, as well as the impact of physician attitudes and communication on patients in the primary care setting, with a specific focus on HIV, substance abuse and sickle cell disease patients.

Research in the Mary Fissell Lab looks at the ways in which average people in early modern England understood health, healing and the natural world. In an ongoing study of vernacular knowledge (ideas about the natural world that ordinary people created, shaped and used), we are examining the popular medical book Aristotle's Masterpiece, first published in 1684. Research has also focused on health care for the poor in 18th-century urban Britain and on how ordinary people learned about their bodies from inexpensive print publications.

The Maryam Jahromi Lab researches infectious diseases such as influenza, tuberculosis, endocarditis, viral hemorrhagic fevers, brucellosis, Clostridium difficile and Crimean-Congo hemorrhagic fever. We are particularly interested in the impact of the influenza vaccine on systemic inflammation. Recent areas of focus include the relationship between influenza vaccination and cardiovascular outcomes, the emergence of Crimean-Congo hemorrhagic fever in Iran, and prospects for vaccines and therapies for Crimean-Congo hemorrhagic fever.

The Mass Spectrometry Core identifies and quantifies proteins that change expression in well-characterized protein fractions from cancerous cells or tissues. This includes identifying and quantifying changes in binding partners and post-translational modifications. Column chromatography and gel electrophoresis-based one and two-dimensional separations of protein complexes coupled to mass spectrometry are used. Techniques such as difference gel electrophoresis (DIGE), isobaric tag for relative and absolute quantitation (iTRAQ) and 18O-labeling as well as non-labeling methods (MudPit, multi-dimensional protein identification technology) are available for quantifying relative differences in protein expression and post-translational modifications. We developed methods to detect post-translational modifications such as LCMS methods to accurately determine the intact mass of proteins, selective fluorescent labeling of S-nitrosothiols (S-FLOS) to detect nitrosated cysteines in proteins, and ion mapping methods to map post-translational modifications that produce a signature mass or mass difference when the modified peptide is fragmented.

The Division of Maternal-Fetal Medicine is engaged in clinical, basic bench and epidemiological research as one of its primary missions. Our strength lies in the expertise and diverse interests of our faculty, as well as in the collaborations with multiple other disciplines and departments throughout the School of Medicine, The Bloomberg School of Public Health, and the School of Biomedical Engineering. The strong research infrastructure of the Johns Hopkins University forms a solid foundation for the success of our integrated research program for Maternal-Fetal Medicine.

The Mathioudakis lab is focused on developing and evaluating clinical decision support systems, technology, and mHealth for diabetes prevention and management. Our lab leverages large electronic medical record databases and uses machine learning algorithms and artificial intelligence to identify patterns in clinical care associated with optimal clinical outcomes. We are interested in understanding the role that advanced diabetes technologies can play in improving health outcomes for patients with diabetes. Our lab has published extensively on outcomes related to diabetes prevention and diabetes management and outcomes. Based on data from our long-term (over 10 year) clinic-based prospective cohort study from the Johns Hopkins Multidisciplinary Diabetic Foot and Wound Clinic, we have published extensively on clinical predictors and outcomes of patients with diabetic foot ulcers, focusing specifically on the role that glycemic control plays in patients with this complication. Healthcare disparities exist throughout medicine, but are particularly prominent in diabetes; our lab has evaluated healthcare inequities in diabetes outcomes and is developing and evaluating strategies to overcome them. In addition to identify optimal management approach to diabetes and its complications, our lab is interested in development and evaluation of innovative technology approaches to diabetes prevention.

Research interests in the Matthew McNabney Lab include community-based long-term care.

Work in the Maunank Shah Lab focuses on infectious disease modeling and health economics, and seeks to investigate new strategies for diagnosing HIV and tuberculosis (TB) in areas with limited resources, both domestically and abroad. Our primary focus is TB diagnostics, with studies examining the diagnostic test accuracy, cost-effectiveness and programmatic impact of emerging diagnostics. We have developed mobile health initiatives to incorporate video-based therapy for TB treatment, and we have a longstanding interest in interventions that help to reduce or prevent HIV transmission.

The Maura McGuire Lab focuses on the improvement of quality and safety in ambulatory medicine through care management, point-of-care laboratory testing, and electronic health records and care delivery optimization. We also study the use of assessment and technology to augment learning in health care professionals and primary care physicians.

Our lab evaluates new medications and/or techniques for the treatment of drug use disorder by conducting human laboratory studies to sensitively assess drug effects, and randomized controlled trial evaluations of medications for clinical treatment outcomes. We also focus on the development of outcome measures that are sensitive and clinically relevant.