Results 161 to 170 of about 604,199 (244)

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

Exploring Novel Data-Driven Clustering Methods for Uncovering Patterns in Longitudinal Neonatal Postoperative Temperature Measurements. [PDF]

Mayo Clin Proc Digit Health
Helman SM, Riek NT, Sereika SM, Tafti AP, Olsen R, Gaynor JW, Lisanti AJ, Al-Zaiti SS.   +7 more
europepmc   +1 more source

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

Lithium Isotopic Analysis of Spodumene by Secondary Ion Mass Spectrometry. [PDF]

Rapid Commun Mass Spectrom
Sharpe R, Fayek M, Luo JC.
europepmc   +1 more source

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

Advancing Yeast Identification Using High-Throughput DNA Barcode Data From a Curated Culture Collection. [PDF]

Mol Ecol Resour
Vu D, de Vries M, van den Ende BG, Houbraken J, Nilsson RH, Brankovics B, Hernández‐Restrepo M, Groenewald JZ, Crous PW, Hagen F, Meyer W, Verkley GJM, Groenewald M.   +12 more
europepmc   +1 more source

Association of Corticospinal Tract Asymmetry With Ambulatory Ability After Intracerebral Hemorrhage

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Ambulatory ability after intracerebral hemorrhage (ICH) is important to patients. We tested whether asymmetry between ipsi‐ and contra‐lesional corticospinal tracts (CSTs) assessed by diffusion tensor imaging (DTI) is associated with post‐ICH ambulation.
Yasmin N. Aziz, Carl D. Langefeld, Mary E. Comeau, Miranda C. Marion, Tyler P. Behymer, Lee A. Gilkerson, Padmini Sekar, Weihong Yuan, Vivek Khandwala, Brady J. Williamson, Thomas Maloney, Achala Vagal, Pierce Boyne, Kari Dunning, Matthew L. Flaherty, Steven J. Kittner, Prachi Mehndiratta, Gunjan Y. Parikh, Michael L. James, David Roh, Fernando D. Testai, Farhaan S. Vahidy, James Thornton, Ranjit Bagga, Daniel Woo, Stacie L. Demel   +25 more
wiley   +1 more source

Editorial: Genetic horizons: exploring genetic biomarkers in therapy and evolution with the aid of artificial intelligence. [PDF]

Front Genet
Chen Y, Zhang Y, Damoraki G, Wang S.
europepmc   +1 more source

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri, Isabella Dallasta, Ciaran Stone, Sophia Girgenti, Neda Gould, Rafael H. Llinas, Jonathan Z. Simon, Elisabeth Breese Marsh   +7 more
wiley   +1 more source

Machine Learning-Enhanced MEC Sensors with Feature Engineering for Quantitative Analysis of Multi-Component Toxicants. [PDF]

Biosensors (Basel)
Yan J, Liang R, Yan W, Wang X.
europepmc   +1 more source