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.

Our laboratory pioneers innovations at the intersection of precision neurology, neuroengineering, artificial intelligence, and data science. We develop advanced neural-AI interfaces, autonomous wearable neurotechnologies, and immersive augmented and virtual reality platforms incorporating novel multimodal neuron-sensing technologies designed to personalize diagnostics, enhance therapeutic interventions, and optimize neurological rehabilitation. Leveraging computational neuroscience, AI, and applied data science, we generate robust digital biomarkers to monitor and treat neurologic diseases in real-time. Through interdisciplinary collaborations, we aim to transform clinical practice by providing precise, interactive, and personalized neurologic care that dramatically improves patient outcomes.

The primary area of statistical expertise in the Qian-Li Xue Lab is the development and application of statistical methods for: (1) handling the truncation of information on underlying or unobservable outcomes (e.g., disability) as a result of screening, (2) missing data, including outcome (e.g., frailty) censoring by a competing risk (e.g., mortality) and (3) trajectory analysis of multivariate outcomes. Other areas of methodologic research interests include multivariate, latent variable models. In Women's Health and Aging Studies, we have closely collaborated with scientific investigators on the design and analysis of longitudinal data relating biomarkers of inflammation, hormonal dysregulation and micronutrient deficiencies to the development and progression of frailty and disability, as well as characterizing the natural history of change in cognitive and physical function over time.

Our group is interested in a broad array of clinical and translational investigations spanning the evaluation of basic pathophysiology in patients undergoing cardiac procedures, development and evaluation of new therapeutic strategies, and improving patient selection and outcomes following interventional procedures. We are comprised of a core group of faculty and dedicated research nurses as well as fellows, residents, and students. Projects range from investigator-initiated single-center observational studies to industry-sponsored multicenter phase 3 randomized controlled trials. We have established a database of all patients who have undergone TAVR at Johns Hopkins, which is providing the basis for several retrospective analyses and will serve as the foundation for future studies of TAVR. We are also engaged in collaborative projects with other groups from the Department of Medicine and other Departments including Cardiac Surgery, Anesthesiology, Radiology, Psychiatry, and Biomedical Engineering. Members of our group are actively involved with the Johns Hopkins Center for Bioengineering Innovation and Design (CBID) in the development of novel minimally-invasive cardiovascular devices.

The Muehlschlegel Lab is dedicated to advancing the care and outcomes of patients who are critically ill with neurological emergencies and their families. The lab’s research focuses on neuroprognostication, clinician-family communication, and shared decision-making to support informed, patient-centered care.

The Michelle Eakin Lab conducts research on behavioral science and adherence and asthma outcomes in inner-city children. Our studies into behavioral science have included exploring the impact of medication adherence on lung health outcomes in patients with cystic fibrosis, disparities in anti-hypertensive medication adherence in adolescents and other key topics. We also investigate methods for improving asthma care and treatment as well as health disparities among various ethnicities, particularly in pediatric patients.

Research interests in the Michelle Belantoni Lab include osteoporosis screening using heel ultrasonography and quality outcomes in post-acute care settings.

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.

Dr. Menez and his laboratory are interested in clinical and translational acute kidney injury (AKI) research, specifically with a focus on the transition between AKI and chronic kidney disease (CKD). Dr. Menez has investigated novel approaches to evaluate AKI using biomarkers of kidney injury, inflammation, and repair in the multi-center TRIBE-AKI and ASSESS-AKI Studies. Dr. Menez collaborates nationwide through the NIDDK-sponsored Kidney Precision Medicine Project, with a goal to improve the global understanding of kidney disease subgroups and identify new pathways and targets for novel therapies.

Since the start of the COVID-19 pandemic, he has additionally investigated the impact of COVID19 on kidney health, including short-term outcomes including need for dialysis or in-hospital mortality, as well as longer-term outcomes post-hospital discharge.

The Timothy Niessen Lab studies patient outcomes in the ICU. We are particularly interested in the effects of sleep quality, delirium transitions and sedation on the improvement of intensive care patients. Our investigators also focus on the practices of internal medicine interns, studying the variability of hand washing hygiene, etiquette-based communication and time spent in direct and indirect patient care. We have also studied the onset of myelopathy as a result of B12 deficiency from long-term colchicine treatment and recreational nitrous oxide use.