![]() ![]() You may develop, adapt, and implement new research techniques and protocols and analyze and interpret data. For more information about ongoing research projects : or contact independently but in close cooperation and in consultation with the Principal Investigator and other Research Scientist, our Postdoctoral Research Fellow will perform routine and complex laboratory procedures throughout training period. The laboratory is funded by National Institutes of Health, and eligible applicants may be funded by NIH T32 Training grant. Cutting edge molecular biology techniques are used such as transgenics, viral and non-viral vector based gene therapies, cell-derived products based therapies. The laboratory uses state-of-the-art techniques including two-photon and single photon microscopy, patch-clamp, panoramic voltage optical mapping, calcium imaging, multi-electrode array, and in vivo invasive electrophysiology studies. The Cingolani Arrhythmia research lab focuses on mechanisms and therapies of cardiac arrhythmias using different models of disease from cells to small and large animals. Such an approach could be an important step towards patient empowerment and could improve adherence to physicians’ recommendations.Postdoctoral Fellowship position available at the laboratory of Dr. That could be a starting point for a discussion on how these factors can be targeted through lifestyle modifications and medications. "When discussed with the patient, a special focus might be given to modifiable risk factors such as high BMI, hypertension, diabetes, and dyslipidemia, leading to optimal, goal-directed medical therapy of these risk factors. "In addition to informing the physician about the rationale behind model predictions, the visualization of factors contributing to increased risk of adverse events might serve as a powerful tool in shared decision-making after the exam, utilizing all available information," the team concluded. "Moreover, this approach also leverages time-to-event data to provide more robust risk estimation over time, which could potentially be applied to a broad range of AI tasks." "The model relies on the combined predictive potential of the clinical features, stress test data, and direct image analysis, similarly to the way clinicians try to integrate all available information to provide the most accurate study interpretation," the research team wrote in its study. It's being touted as the first study to "evaluate prediction at multiple time points of multiple events in a large multi-site registry of cardiovascular imaging data that also explicitly takes advantage of time-to-event data during model training." The results of the project were recently published in NPJ Digital Medicine. ![]() “Even more importantly, this tool has the potential to lend data-led, appropriate urgency to heart disease prevention efforts by both patients and providers.” “AI algorithms of this nature could enable physicians to communicate more personalized information regarding potential timing of imminent heart disease events, allowing patients to engage more meaningfully in the shared decision-making process,” added Sumeet Chugh, MD, director of the Center for Cardiac Arrest Prevention in the Smidt Heart Institute and director of the Division of Artificial Intelligence in Medicine and the Pauline and Harold Price Chair in Cardiac Electrophysiology Research. ![]() They can also interactively modify certain risk factors to see how it impacts a patient’s particular risk.” ![]() “Doctors and patients can use these graphs to track how risk changes over time and to identify individual risk factors. “This general patient data, together with heart imaging, is what the deep-learning platform uses to make cardiac health predictions,” Slomka said in a press release. ![]()
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