Results 71 to 80 of about 8,937,082 (369)

Predicting Adverse Neonatal Outcomes for Preterm Neonates with Multi-Task Learning [PDF]

open access: yesarXiv, 2023
Diagnosis of adverse neonatal outcomes is crucial for preterm survival since it enables doctors to provide timely treatment. Machine learning (ML) algorithms have been demonstrated to be effective in predicting adverse neonatal outcomes. However, most previous ML-based methods have only focused on predicting a single outcome, ignoring the potential ...
arxiv  

Deep learning based tissue analysis predicts outcome in colorectal cancer

open access: yesScientific Reports, 2018
Image-based machine learning and deep learning in particular has recently shown expert-level accuracy in medical image classification. In this study, we combine convolutional and recurrent architectures to train a deep network to predict colorectal ...
Dmitrii Bychkov   +9 more
semanticscholar   +1 more source

Ablation of LRP6 in alpha‐smooth muscle actin‐expressing cells abrogates lung inflammation and fibrosis upon bleomycin‐induced lung injury

open access: yesFEBS Letters, EarlyView.
Low‐density lipoprotein receptor‐related protein 6 (LRP6) is a key receptor for the Wnt antagonist Dickkopf1 (DKK1). DKK1 protein expression is induced in a bleomycin (BLM)‐induced lung injury model. We show that DKK1 induces proinflammatory and profibrotic genes in lung fibroblasts.
Eun‐Ah Sung   +6 more
wiley   +1 more source

Multi-outcome trials with a generalised number of efficacious outcomes [PDF]

open access: yesarXiv, 2020
Existing multi-outcome designs focus almost entirely on evaluating whether all outcomes show evidence of efficacy or whether at least one outcome shows evidence of efficacy. While a small number of authors have provided multi-outcome designs that evaluate when a general number of outcomes show promise, these designs have been single-stage in nature ...
arxiv  

Estimating Counterfactual Matrix Means with Short Panel Data [PDF]

open access: yesarXiv, 2023
We develop a new, spectral approach for identifying and estimating average counterfactual outcomes under a low-rank factor model with short panel data and general outcome missingness patterns. Applications include event studies and studies of outcomes of "matches" between agents of two types, e.g.
arxiv  

Process and Outcome [PDF]

open access: yesKing's Law Journal, 2016
While Saskatchewan Federation of Labour v Saskatchewan remains the Supreme Court of Canada’s headline decision for labour law in 2015, Mounted Police Association of Ontario v Canada (Attorney General) arguably further developed the Court’s continuing reappraisal of freedom of association.
openaire   +3 more sources

Characteristics of the Kelch domain containing (KLHDC) subfamily and relationships with diseases

open access: yesFEBS Letters, EarlyView.
The Kelch protein superfamily includes 63 members, with the KLHDC subfamily having 10 proteins. While their functions are not fully understood, recent advances in KLHDC2's structure and role in protein degradation have highlighted its potential for drug development, especially in PROTAC therapies.
Courtney Pilcher   +6 more
wiley   +1 more source

Costs of treatment of haemophilia A in Italy: comparison of the use of plasma-derived and recombinant FVIII using a discrete event simulation (DES) model

open access: yesFarmeconomia: Health Economics and Therapeutic Pathways, 2013
OBJECTIVE: To simulate haemophilia A (HA) real-life management and compare the cost of different treatment strategies, both with plasma-derived and recombinant factor VIII (pdFVIII and rFVIII, respectively), from the perspective of the Italian NHS ...
Mario Eandi   +2 more
doaj   +1 more source

Insertion of the FeB cofactor in cNORs lacking metal inserting chaperones

open access: yesFEBS Letters, EarlyView.
Nitric oxide reductase is an enzyme found in the bacterial denitrification pathway. The NOR active site contains a non‐heme iron, often, but not always inserted with the assistance of chaperones. Here, we study the insertion of FeB in the subfamily of cNORs lacking chaperones and found a putative channel, conserved in the family, perhaps enabling the ...
Sofia Appelgren, Pia Ädelroth
wiley   +1 more source

Causal inference for binary non-independent outcomes [PDF]

open access: yesarXiv, 2017
Causal inference on multiple non-independent outcomes raises serious challenges, because multivariate techniques that properly account for the outcome's dependence structure need to be considered. We focus on the case of binary outcomes framing our discussion in the potential outcome approach to causal inference.
arxiv  

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