Results 81 to 90 of about 4,043,862 (395)

The power of microRNA regulation—insights into immunity and metabolism

open access: yesFEBS Letters, EarlyView.
MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto   +2 more
wiley   +1 more source

Computational methods to simultaneously compare the predictive values of two diagnostic tests with missing data: EM-SEM algorithms and multiple imputation [PDF]

open access: yesJournal of Statistical Computation and Simulation 91 (2021) 3358-3384
Predictive values are measures of the clinical accuracy of a binary diagnostic test, and depend on the sensitivity and the specificity of the test and on the disease prevalence among the population being studied. This article studies hypothesis tests to simultaneously compare the predictive values of two binary diagnostic tests in the presence of ...
arxiv   +1 more source

Incidence of Tuberculosis and the Predictive Value of ELISPOT and Mantoux Tests in Gambian Case Contacts

open access: yesPLoS ONE, 2008
Background Studies of Tuberculosis (TB) case contacts are increasingly being utilised for understanding the relationship between M. tuberculosis and the human host and for assessing new interventions and diagnostic tests.
P. Hill   +12 more
semanticscholar   +1 more source

Identification of novel small molecule inhibitors of ETS transcription factors

open access: yesFEBS Letters, EarlyView.
ETS transcription factors play an essential role in tumourigenesis and are indispensable for sprouting angiogenesis, a hallmark of cancer, which fuels tumour expansion and dissemination. Thus, targeting ETS transcription factor function could represent an effective, multifaceted strategy to block tumour growth. The evolutionarily conserved E‐Twenty‐Six
Shaima Abdalla   +9 more
wiley   +1 more source

بررسی عوامل پیش‌گویی کننده‌ی شاخص‌های انتروپومتریک در پسران 11-9 ساله‌ی شهر اصفهان در سال‌های 95-1394

open access: yesمجله دانشکده پزشکی اصفهان, 2018
مقدمه: چاقي كودكان و نوجوانان يك مشكل بهداشتي پيچيده است كه سبب بروز عوارض جدی نظیر دیابت و بیماری‌های قلبی می‌شود. چاقی در سنین پایین به عوامل متعددي بستگی دارد.
Zahra Dana Siadat   +3 more
doaj   +1 more source

PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction [PDF]

open access: yesarXiv, 2020
Improving the robustness of neural nets in regression tasks is key to their application in multiple domains. Deep learning-based approaches aim to achieve this goal either by improving their prediction of specific values (i.e., point prediction), or by producing prediction intervals (PIs) that quantify uncertainty.
arxiv  

Multigene prognostic tests in breast cancer: past, present, future [PDF]

open access: yes, 2015
There is growing consensus that multigene prognostic tests provide useful complementary information to tumor size and grade in estrogen receptor (ER)-positive breast cancers.
A Prat   +37 more
core   +1 more source

Unlocking the potential of tumor‐derived DNA in urine for cancer detection: methodological challenges and opportunities

open access: yesMolecular Oncology, EarlyView.
Urine is a rich source of biomarkers for cancer detection. Tumor‐derived material is released into the bloodstream and transported to the urine. Urine can easily be collected from individuals, allowing non‐invasive cancer detection. This review discusses the rationale behind urine‐based cancer detection and its potential for cancer diagnostics ...
Birgit M. M. Wever   +1 more
wiley   +1 more source

Understanding sensitivity, specificity and predictive values [PDF]

open access: yesVojnosanitetski Pregled, 2014
nema
Stojanović Miodrag   +6 more
doaj   +1 more source

Conformal Loss-Controlling Prediction [PDF]

open access: yesarXiv, 2023
Conformal prediction is a learning framework controlling prediction coverage of prediction sets, which can be built on any learning algorithm for point prediction. This work proposes a learning framework named conformal loss-controlling prediction, which extends conformal prediction to the situation where the value of a loss function needs to be ...
arxiv  

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