Machine learning in the operating room: focus, performance, and the medical record

This proposed study will significantly enhance our current understanding of how specific intra-operative factors can impact patient outcomes. Our proposed work will provide a proof of concept that machine learning can objectively predict a specific, high-impact post-operative complication, allowing us to move forward with scaling this work to a wide variety of surgical settings. Moreover, […]

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Multi-institute domain adaptation by adversarial constrained medical time series representation learning

Hospitals strive to perform cutting edge medical treatment, treat all patients fairly, and reduce operating costs, while also enabling caregivers to spend more time interacting with patients. Artificial intelligence and machine learning promise these things. However, medical data provides unique challenges for machine learning. Currently, if a hospital wants to include an algorithm for automated […]

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Predicting Treatment Sensitivity in Hypotensive Patients

Anticoagulation with Warfarin is indicated and required for post-operative cardiovascular patients. However, it is a high-risk medication with a narrow therapeutic range where sub-optimal dosing can lead to complications and even death. While multiple risk factors have been associated to Warfarin sensitivity, the prediction of optimal Warfarin dosing strategies remains ineffective and requires trial and […]

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A Survey on Application of Visualization and AI Algorithm-Driven Technology for Healthcare

Healthcare facilities collect and produce vast amounts of clinical-relevant data. Various AI-related methods (like computer-aided detection for mammography and the learning and visualization of clinical pathways) are applied to healthcare these days, and visualization techniques are also used to support clinicians due to the complexities of clinical data. This self-contained survey focuses on the assessment […]

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Assessing and Identifying Clinical Checklists in Intensive Care Settings

type of treatment they will provide to patients. With technological improvements and the availability of a significant volume of data, it is increasingly difficult for care providers to properly evaluate and analyze the options available to them. The current health condition of the patient–reflected in the monitored observations which are recorded in EMR–may depend on […]

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Bioorthogonal spin labeling approaches for high sensitivity electron paramagnetic resonance spectroscopy

In order to investigate proteins in their natural environment one can attach tiny reporter molecules to them that can be traced with appropriate instruments. However, these small reporter molecules may often cause strong perturbations to the functionality of the proteins, or cannot be seen due to experimental restrictions like low concentrations. Bioorthogonal chemistry aims to […]

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Lay Sisters and Brothers in Medieval German Convents

Medieval nuns were supported by a wide range of people, including lay sisters and brothers who performed much of the physical and manual work of the convent. Yet scholarship has long ignored these members of the monastic community. My research attempts to address this gap by focusing on lay sisters and brothers in fourteenth- and […]

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Cognitive Powertrain and Metaveillogrammetric sensing for transportation

There is massive growth in the area of smart cities (e.g. sensors in streetlights), smart cars, and “smart people” (sensors on people, e.g. wearable computing). In some cities like San Diego, there are cameras and microphones in nearly every streetlight in the downtown core area. Most cars made now have one or more cameras in […]

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Health Equity and Barriers to LDKT in South Asian Communities

As of 2012, about three million Canadians suffer from chronic kidney disease. Patients with kidney failure need dialysis or kidney transplantation to survive. LDKT (LDKT) is the best treatment option for many patients with kidney failure, however, it is not used as much as it could be. Patients who belong to ethnic minority groups are […]

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Studying the structure of four-stranded DNA

Our DNA exists in many different forms. The G-quadruplex is a type of DNA structure made from four strands of DNA. These structures are highly stable and potentially form throughout the genome at clinically important sites. To understand how G-quadruplex structures form, we need to investigate the physical forces that hold the molecules together. When […]

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Probiotic treatment for stroke repair

Stroke is a devastating disease that causes a loss of blood to the brain and neuronal death. The sustained inflammation caused by stroke is associated with poor outcomes. Currently, there are no effective treatment options. Exciting new studies have shown a link between bacteria in the gut and brain. This has generated significant interest regarding […]

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