Results 111 to 120 of about 480,923 (314)

Aging Is a Key Driver for Adult Acute Myeloid Leukemia

Aging 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

Minutes: Strategic Enrollment Management Subcommitte, October 5, 2016

, 2016
University of Minnesota Duluth. Strategic Enrollment Management Subcommitte. (2016). Minutes: Strategic Enrollment Management Subcommitte, October 5, 2016.
University of Minnesota Duluth. Strategic Enrollment Management Subcommitte
core  

Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance

Aging 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, Zhong Fan, Runmeng Liu, Xiaotian Zhang   +3 more
wiley   +1 more source

GWAS shows links between EDARADD and LRFN5 and performance in professional athletes

BMC Sports Science, Medicine and Rehabilitation
Background Research into genetic markers associated with sports performance and aerobic capacity has been gaining momentum. However, despite the discovery of numerous molecular and genetic markers, there is still a gap in understanding the variations in ...
M. V. Terekhov, R. V. Deev, A. I. Kadykova, I. H. Dzhumaniiazova, A. A. Mamchur, E. A. Zelenova, L. R. Matkava, M. V. Ivanov, D. A. Kashtanova, S. I. Mitrofanov, L. A. Golubnikova, A. I. Nekrasova, I. G. Kalashnikova, A. A. Ivashechkin, V. V. Maksyutina, O. V. Varlamova, V. S. Yudin, A. A. Keskinov, A. V. Zholinsky, S. A. Kraevoy, S. M. Yudin, V. I. Skvortsova   +21 more
doaj   +1 more source

Run! This road has no ending! A systematic review of PLS-SEM application in strategic management research among developing nations. [PDF]

Heliyon, 2023
Shela V, Ramayah T, Aravindan KL, Ahmad NH, Alzahrani AI.   +4 more
europepmc   +1 more source

Minutes: Strategic Enrollment Management Subcommitte, December 17, 2013

, 2013
University of Minnesota Duluth. Strategic Enrollment Management Subcommitte. (2013). Minutes: Strategic Enrollment Management Subcommitte, December 17, 2013.
University of Minnesota Duluth. Strategic Enrollment Management Subcommitte
core  

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

Aging 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, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source

Strategic management and risk control of emergency hospital construction: SWOT and STPA framework from a systems thinking perspective. [PDF]

PLoS One, 2023
Zhu D, Wang S, Li Y.
europepmc   +1 more source

Minutes: Strategic Enrollment Management Subcommitte, March 14, 2018

, 2018
University of Minnesota Duluth. Strategic Enrollment Management Subcommitte. (2018). Minutes: Strategic Enrollment Management Subcommitte, March 14, 2018.
University of Minnesota Duluth. Strategic Enrollment Management Subcommitte
core  

Intelligent Tutoring Systems for Adult Learning in STEM Disciplines

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley   +1 more source