Results 111 to 120 of about 962,972 (291)

Examining the effect of universal testing and treatment strategies for HIV prevention in Zambia and South Africa: generalizing the results of the HPTN 071 (PopART) trial

open access: yesJournal of the International AIDS Society
Introduction HIV Prevention Trials Network (HPTN) 071 (PopART) was a cluster‐randomized trial to evaluate universal testing and treatment (UTT) strategies for HIV prevention.
Bonnie E. Shook‐Sa   +12 more
doaj   +1 more source

Higher-Order Skolem’s Paradoxes [PDF]

open access: yes
Some analogous higher-order versions of Skolem’s paradox will be introduced. The generalizability of two solutions for Skolem’s paradox will be assessed: the course-book approach and Bays’ one.
Hosseini, Davood, Kimiagari, Mansooreh
core  

Evaluation of a University-Community Partnership to Provide Home-Based, Mental Health Services for Children from Families Living in Poverty [PDF]

open access: yes, 2013
A university-community partnership is described that resulted in the development of community-based mental health services for young children from families living in poverty.
Fox, Robert A.   +2 more
core   +1 more source

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

open access: yesFEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes   +32 more
wiley   +1 more source

(Dis)advantages of student subjects: what is your research question? [PDF]

open access: yes
In this comment on Henrich et al. (2010) I argue that the right choice of subject pool is intimately linked to the research question. At least within economics, students are often the perfect subject pool for answering some fundamental research questions.
Simon Gächter
core  

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

open access: yesFEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Editorial: Explainable artificial intelligence models and methods in finance and healthcare

open access: yesFrontiers in Artificial Intelligence, 2022
Brian S. Caffo   +3 more
doaj   +1 more source

Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system

open access: yesFEBS Open Bio, EarlyView.
An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková   +3 more
wiley   +1 more source

Suppression of lung adenocarcinoma migration through organelle alkalization by human lactoferrin – albumin fusion

open access: yesFEBS Open Bio, EarlyView.
This paper reveals how human lactoferrin–albumin fusion (hLF‐HSA) potently suppresses lung adenocarcinoma cell migration. hLF‐HSA upregulates NHE7, leading to Golgi alkalization, disruption of the Golgi secretome, downregulation of MMP1, and reversal of EMT. These findings suggest a novel Golgi‐targeting strategy to suppress cancer cell migration.
Hana Nopia   +3 more
wiley   +1 more source

Bayesian leave-one-out cross-validation for large data

open access: yes, 2019
Model inference, such as model comparison, model checking, and model selection, is an important part of model development. Leave-one-out cross-validation (LOO) is a general approach for assessing the generalizability of a model, but unfortunately, LOO ...
Andersen, Michael Riis   +3 more
core  

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