Results 51 to 60 of about 34,016,939 (394)

Effect of the m6ARNA gene on the prognosis of thyroid cancer, immune infiltration, and promising immunotherapy

open access: yesFrontiers in Immunology, 2022
BackgroundAccumulating evidence suggests that N6-methyladenosine (m6A) RNA methylation plays an important role in tumor proliferation and growth. However, its effect on the clinical prognosis, immune infiltration, and immunotherapy response of thyroid ...
Minqi Xia   +5 more
doaj   +1 more source

Thirty-Day Readmission Risk Model for Older Adults Hospitalized With Acute Myocardial Infarction.

open access: yesCirculation. Cardiovascular Quality and Outcomes, 2019
BACKGROUND Early readmissions among older adults hospitalized for acute myocardial infarction (AMI) are costly and difficult to predict. Aging-related functional impairments may inform risk prediction but are unavailable in most studies.
J. Dodson   +12 more
semanticscholar   +1 more source

A novel necroptosis-related lncRNA signature predicts the prognosis and immune microenvironment of hepatocellular carcinoma

open access: yesFrontiers in Genetics, 2022
Hepatocellular carcinoma (HCC) is one of the malignant tumors with high mortality and a worse prognosis globally. Necroptosis is a programmed death mediated by receptor-interacting Protein 1 (RIP1), receptor-interacting Protein 1 (RIP3), and Mixed ...
Jianguo Wang   +3 more
doaj   +1 more source

Immunogenic cell death-related gene landscape predicts the overall survival and immune infiltration status of ovarian cancer

open access: yesFrontiers in Genetics, 2022
Background: Ovarian cancer (OC) is the most troubling malignant tumor of the female reproductive system. It has a low early diagnosis rate and a high tumor recurrence rate after treatment.
Wenwen Zhang   +5 more
doaj   +1 more source

The constitution of risk communication in advanced liberal societies [PDF]

open access: yes, 2008
This article aims to bring to the fore some of the underlying rationales that inform common conceptions of the constitution of risk communication in academic and policy communities.
Austin   +105 more
core   +1 more source

On the Capital Allocation Problem for a New Coherent Risk Measure in Collective Risk Theory

open access: yesRisks, 2016
In this paper we introduce a new coherent cumulative risk measure on a subclass in the space of càdlàg processes. This new coherent risk measure turns out to be tractable enough within a class of models where the aggregate claims is driven by a ...
Hirbod Assa   +2 more
doaj   +1 more source

A Novel Risk Model Based on Autophagy-Related LncRNAs Predicts Prognosis and Indicates Immune Infiltration Landscape of Patients With Cutaneous Melanoma

open access: yesFrontiers in Genetics, 2022
Cutaneous melanoma (CM) is a malignant tumor with a high incidence rate and poor prognosis. Autophagy plays an essential role in the development of CM; however, the role of autophagy-related long noncoding RNAs (lncRNAs) in this process remains unknown ...
Qi Shu   +7 more
doaj   +1 more source

Prospective clinical testing and experimental validation of the Pediatric Sepsis Biomarker Risk Model

open access: yesScience Translational Medicine, 2019
Prognostic biomarkers for pediatric septic shock are conserved in a murine model of sepsis and accelerate testing of precision medicine strategies. Persevering in the face of sepsis Despite modern therapies, sepsis remains a major clinical problem with a
H. Wong   +16 more
semanticscholar   +1 more source

A Formalism and Approach for Improving Robustness of Large Language Models Using Risk-Adjusted Confidence Scores [PDF]

open access: yesarXiv, 2023
Large Language Models (LLMs), such as ChatGPT, have achieved impressive milestones in natural language processing (NLP). Despite their impressive performance, the models are known to pose important risks. As these models are deployed in real-world applications, a systematic understanding of different risks posed by these models on tasks such as natural
arxiv  

Sources of uncertainty in a probabilistic flood risk model

open access: yesNatural Hazards, 2018
Flood risk models capture a variety of processes and are associated with large uncertainties. In this paper, the uncertainties due to alternative model assumptions are analysed for various components of a probabilistic flood risk model in the study area ...
Benjamin Winter   +3 more
semanticscholar   +1 more source

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