Publications – Page 4 – Frost Institute for Data Science & Computing

Commercial Interests in Continuing Medical Education: Where Do EHR…

The Accreditation Council for Continuing Medical Education (ACCME) will not accredit an organization that it defines as a commercial interest, that is an entity that produces, markets, resells, or distributes health care goods or services consumed by, or used on, patients. Thus, commercial interests are not eligible to be accredited organizations offering continuing medical education (CME) credit to physicians. Read more “Commercial Interests in Continuing Medical Education: Where Do EHR Vendors Fit?” →

The Clinical Kinase Index: Prioritizing Understudied Kinases at Targets…

Abstract The approval of the first kinase inhibitor, Gleevec, ushered in a paradigm shift for oncological treatment-the use of genomic data for targeted, efficacious therapies. Since then, over 48 additional small-molecule kinase inhibitors have been approved, solidifying the case for kinases as a highly druggable and attractive target class. Read more “The Clinical Kinase Index: Prioritizing Understudied Kinases at Targets for the Treatment of Cancer” →

Yearbook of Medical Informatics: Ethics in Health Informatics

Contemporary bioethics was fledged and is sustained by challenges posed by new technologies. These technologies have affected many lives. Yet health informatics affects more lives than any of them. The challenges include the development and the appropriate uses and users of machine learning software, the balancing of privacy rights against the needs of public health and clinical practice in a time of Big Data analytics, whether and how to use this technology, and the role of ethics and standards in health policy. Read more “Yearbook of Medical Informatics: Ethics in Health Informatics” →

Computational Identification of Kinases That Control Axon Growth in…

The determination of signaling pathways and transcriptional networks that control various biological processes is a major challenge from both basic science and translational medicine perspectives. Because such analysis can point to critical disease driver nodes to target for therapeutic purposes, we combined data from phenotypic screening experiments and gene expression studies of mouse neurons to determine information flow through a molecular interaction network using a network propagation approach. Read more “Computational Identification of Kinases That Control Axon Growth in Mouse” →

The Effect of the Deepwater Horizon Oil Spill on…

The Deepwater Horizon (DWH) oil spill likely affected ecosystem services in the Gulf of Mexico. To test this hypothesis, we configured a “Ecopath with Ecosim” model and quantified the effects of commercial fisheries and particulate organic carbon (POC) sequestration from 2004 to 2014, encompassing DWH. Read more “The Effect of the Deepwater Horizon Oil Spill on two Ecosystem Services in the Northern Gulf of Mexico” →

Predicting the Impact of Future Oil-Spill Closures on Fishery-Dependent…

Major oil spills immensely impact the environment and society. Coastal fishery-dependent communities are especially at risk as their fishing grounds are susceptible to closure because of seafood contamination threat. Read more “Predicting the Impact of Future Oil-Spill Closures on Fishery-Dependent Communities—A Spatially Explicit Approach” →

A Study of Mesoscale Air–Sea Interaction in the Southern…

Coupling between the atmosphere and ocean is scale-dependent. For example, in the mid-latitudes and at oceanic mesoscales (spatial scales between 10 and hundreds of kilometers), the air–sea interactions are driven by the oceanic variability, and the atmosphere responds to the changes in the sea surface temperature anomalies (SSTA), which are created by fast oceanic advection. This study explores these interactions, using a regional high-resolution atmosphere–ocean coupled model with a realistic atmospheric component and a semi-idealized oceanic model of a zonal flow. Read more “A Study of Mesoscale Air–Sea Interaction in the Southern Ocean with a Regional Coupled Model” →

Inference From Complex Networks: Role of Symmetry and Applicability…

Symmetry is a mathematical concept only partially explored in networks, especially at the applicative level. One reason is a certain lack of interpretable inference obtained from networks. While the network systemic associations (links) between entities (nodes) emerge from the underlying dependence structure, this latter is only partially explicit via the established direct interactors and remains to a certain extent latent (distant node predicted paths). Read more “Inference From Complex Networks: Role of Symmetry and Applicability to Images” →

Understanding Intermodel Diversity When Simulating the Time of Emergence…

Using a statistical method, we examined the time of emergence (ToE), which was defined as the year when the global mean surface temperature (GMST) trend exceeds the trend explained by internal variability, using 33 Coupled Model Intercomparison Project Phase 5 (CMIP5) climate models for 1861–2100. We found that the GMST trend explained by internal variability showed minimal changes even though the GMST trend rapidly increased under the Representative Climate Pathway 8.5 scenario. Read more “Understanding Intermodel Diversity When Simulating the Time of Emergence in CMIP5 Climate Models” →

Current and Emerging Developments in Subseasonal to Decadal Prediction

Weather and climate variations on subseasonal to decadal time scales can have enormous social, economic, and environmental impacts, making skillful predictions on these time scales a valuable tool for decision-makers. As such, there is a growing interest in the scientific, operational, and applications communities in Read more “Current and Emerging Developments in Subseasonal to Decadal Prediction” →