Clinical trials conducted in the Lonny Yarmus Lab focus primarily on minimally-invasive diagnostic testing for patients with lung cancer and local therapy options for malignant airway obstructions. We investigate ways to improve the early diagnosis of lung cancer, as well as the treatment of later-stage cancer, using the least invasive methods possible. We are also part of the LIBERATE clinical study for patients who have difficulty breathing and suffer from severe emphysema.

Research in the Lee Bone Lab uses community-based participatory approaches to promote health in underserved urban African-American populations. We conduct randomized clinical trials on cardiovascular disease, diabetes and cancer detection and control in order to test the success of community interventions. We focus in particular on making interventions sustainable and on implementing electronic education to improve communication.

The Laura Hummers Lab participates in a number of clinical trials and clinical investigations at the Scleroderma Center at Johns Hopkins. We have a particular interest in the predictors of outcomes in scleroderma. We’ve established a prospective cohort of 300 scleroderma patients to identify incident vascular outcomes in the hopes of identifying new biomarkers for disease development and progression.

Research in the Quantitative Imaging Technologies lab — a component of the Imaging for Surgery, Therapy and Radiology (I-STAR) Lab — focuses on novel technologies to derive accurate structural and physiological measurements from medical images. Our team works on optimization of imaging systems and algorithms to support a variety of quantitative applications, with recent focus on orthopedics and bone health. For example, we have developed an ultra-high resolution imaging chain for an orthopedic CT system to enable in-vivo measurements of bone microstructure. Our interests also include automated methods to extract quantitative information from images, including anatomical and micro-structural measurements, and shape analysis.

Our mission is to reveal the molecular logic of our intelligence in health and disease. We use advanced molecular biological tools and state-of-the-art neuroscience to test the role of synaptic and neuronal molecules in the dynamics of the living brain.

Artificial neural networks have been heavily inspired by the brain’s architecture, guiding our journey to discovering the keys to intelligence. We now find ourselves at a pivotal moment: today's AI systems surpass biological circuits in certain tasks, yet we still lack a fundamental understanding of the mechanisms behind the brain’s superior cognitive flexibility and efficiency. At Ingie Hong’s Quantitative Intelligence Lab, we are dedicated to unraveling the principles that enable the mammalian cortex to achieve remarkable feats of intelligence, including rapid learning, generalization, and inference across vast stores of memory.

A single neuron’s response depends on its synaptic connections and intrinsic properties, which are dictated by the expression of neuronal genes. However, the role of these molecules in brain computations remains largely uncharted territory. Focusing on the mouse visual cortex as a starting point for broader generalization, and using large-scale electrophysiology, advanced microscopy, and machine learning, we have begun to uncover the impact of key synaptic genes on cortical processing and their role in the brain’s “working algorithm” (Hong et al., Nature, 2024). Our molecular tools, including gene therapy vectors and antisense oligonucleotides, show promise as effective therapeutic candidates.

Our research will advance the nascent field of 'neurocomputational therapeutics'—innovative genetic and pharmacological tools that address biases in neural activity. These tools will not only facilitate the development of novel mechanism-based treatments for brain disorders but also inspire the next generation of intelligent artificial neural networks.

Our research is directed toward how the brain controls the movements of the eyes (including eye movements induced by head motion) using studies in normal human beings, patients and experimental animals. The focus is on mechanisms underlying adaptive ocular motor control. More specifically, what are mechanisms by which the brain learns to cope with the changes associated with normal development and aging as well as the damage associated with disease and trauma? How does the brain keep its eye movement reflexes properly calibrated? Our research strategy is to make accurate, quantitative measures of eye movements in response to precisely controlled stimuli and then use the analytical techniques of the control systems engineer to interpret the findings. Research areas: 1) learning and compensation for vestibular disturbances that occur either within the labyrinth or more centrally within the brain, 2) the mechanisms by which the brain maintains correct alignment of the eyes to prevent diplopia and strabismus, and 3) the role of ocular proprioception in localizing objects in space for accurate eye-hand coordination.

The Franco D’Alessio Lab investigates key topics within the fields of critical care, internal and pulmonary medicine. We primarily explore immunological determinants of acute lung inflammation and repair. Our lab also investigates age-dependent lung immune response in patients with acute lung injury and acute respiratory distress syndrome (ARDS), regulatory T-cells in lung injury and repair, and modulation of alveolar macrophage innate immune response in ARDS.

The Frederick Anokye-Danso Lab investigates the biological pathways at work in the separation of human pluripotent stem cells into adipocytes and pancreatic beta cells. We focus in particular on determinant factors of obesity and metabolic dysfunction, such as the P72R polymorphism of p53. We also conduct research on the reprogramming of somatic cells into pluripotent stem cells using miRNAs.

The Frederick Sieber Lab studies the impact of sedation on geriatric surgical patients—especially those undergoing orthopaedic or pelvic procedures—with the goal of preventing postoperative delirium. We are using electroencephalography to investigate the effect of sedation depth during spinal anesthesia. We are also working to determine the effects of using propofol for sedation in elderly patients as well as the effects of robotics and surgical positioning on cerebral blood flow.

The studies of the Functional Neurosurgery Lab currently test whether neural activity related to the experimental vigilance and conditioned expectation toward pain can be described by interrelated networks in the brain. These two psychological dimensions play an important role in chronic pain syndromes, but their neuroscience is poorly understood. Our studies of spike trains and LFPs utilize an anatomically focused platform with high temporal resolution, which complements fMRI studies surveying the whole brain at lower resolution. This platform to analyze the oscillatory power of structures in the brain, and functional connections (interactions and synchrony and causal interactions) between these structures based upon signals recorded directly from the waking human brain during surgery for epilepsy and movement disorders, e.g. tremor. Our studies have demonstrated that behaviors related to vigilance and expectation are related to electrical signals from the cortex and subcortical structures. These projects are based upon the combined expertise of Dr. Nathan Crone in recordings and clinical management of the patients studied; Dr. Anna Korzeniewska in the analyses of signals recorded from the brain; Drs. Claudia Campbell, Luana Colloca and Rick Gracely in the clinical psychology and cognitive neurology of the expectation of pain and chronic pain; Dr. Joel Greenspan in quantitative sensory testing; and Dr. Martin Lindquist in the statistical techniques. Dr. Lenz has conducted studies of this type for more than thirty years with continuous NIH funding.