Results 231 to 240 of about 5,111,635 (296)

Aging Is a Key Driver for Adult Acute Myeloid Leukemia

open access: yesAging and Cancer, EarlyView.
Acute myeloid leukemia (AML) is a classical age‐related hematologic malignancy, and a key driver of AML is aging, which profoundly regulates intrinsic factors such as genomic instability, epigenetic reprogramming, and metabolic dysregulation, and alters bone marrow microenvironment.
Rong Yin, Haojian Zhang
wiley   +1 more source

Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance

open access: yesAging and Cancer, EarlyView.
NPM1 mutations drive acute myeloid leukemia by acting as neomorphic transcriptional regulators that cooperate with Menin–MLL and XPO1 to sustain HOX/MEIS1 expression and block differentiation. Targeting these mutant‐specific transcriptional dependencies provides a rational therapeutic strategy for NPM1‐mutated AML.
Yanan Jiang   +3 more
wiley   +1 more source

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

open access: yesAging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel   +4 more
wiley   +1 more source

Prognostic Implications of Sleep Architecture for Patients Admitted to the Intensive Care Unit With Status Epilepticus

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Status epilepticus (SE) is associated with significant mortality. Sleep architecture may reflect normal brain function. Impaired sleep architecture is associated with poorer outcomes in numerous conditions. Here we investigate the association of sleep architecture in continuous EEG (cEEG) with survival in SE.
Ran R. Liu   +5 more
wiley   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu   +14 more
wiley   +1 more source

Social context, spatial structure and social network structure

Social Networks, 2012
a b s t r a c t Frequently, social networks are studied in their own right with analyses devoid of contextual details. Yet contextual features - both social and spatial - can have impacts on the networks formed within them. This idea is explored with five empirical networks representing different contexts and the use of distinct modeling strategies ...
Patrick Doreian, Norman Conti
exaly   +2 more sources

Social geography, spatial structure and social structure

Geo Journal, 1984
This paper adopts a positivist approach to social geography, which is viewed as a study of the two-way relationship between spatial structure and social structure. This relationship is examined in cities in contemporary Britain and the United States. The concept of social structure is discussed in the first section.
exaly   +2 more sources

THE SOCIAL STRUCTURE OF SCHOOLING

Annual Review of Psychology, 1996
▪ Abstract  The term social structure refers to a relatively enduring pattern of social arrangements or interrelations within a particular society, organization, or group. This chapter reviews how the social structure of the larger society and the organizational structure of schools affect the educational process within American schools.
S M, Dornbusch, K L, Glasgow, I C, Lin
openaire   +2 more sources

Social Structure

Veterinary Clinics of North America: Equine Practice, 1986
Socially feral horses live in stable social groups characterized by one adult male, a number of adult females, and their offspring up to 2 years of age. Extra males either live by themselves or with other males in bachelor groups. The bands occupy nondefended home ranges that often overlap.
openaire   +2 more sources

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