Results 211 to 220 of about 400,118 (290)

Peripheral versus Marrow Lipidomics in Patients with Severe Aplastic Anemia: Potential Indicators for Early Immunosuppressive Treatment Response

open access: yesLipids, EarlyView.
ABSTRACT This study aimed to explore the differences of peripheral blood (PB) and bone marrow serum lipidomic profiles in severe aplastic anemia (SAA) patients and their significance in predicting earlier immunosuppressive therapy (IST) response. A cohort of 11 newly diagnosed SAA patients and 15 healthy controls were enrolled between June 2020 and ...
Zexing Sun   +11 more
wiley   +1 more source

Data‐Independent Acquisition Mass Spectrometry in Tumor Classification and Cancer Biomarker Research

open access: yesMass Spectrometry Reviews, EarlyView.
Abstract Cancer treatment is far from optimal also because current classification systems do not reflect the complex molecular status of the tumor and its phenotype in sufficient detail. To construct molecular tumor classifiers, omics tools provide complex molecular data reflecting many aspects from genotype to phenotype.
Jan Simonik   +3 more
wiley   +1 more source

Clinical Outcomes of Adult Patients With Newly Diagnosed Mixed Phenotype Acute Leukemia. [PDF]

open access: yesJCO Precis Oncol
Goulart H   +27 more
europepmc   +1 more source

The Global Burden of Leukemia, 1990–2021: A Systematic Analysis of Prevalence, DALYs, and Risk Factors From the Global Burden of Disease Study

open access: yesMed Research, EarlyView.
Using data from the Global Burden of Disease Study 2021, we systematically assessed leukemia prevalence and disability‐adjusted life years (DALYs) across 204 countries and territories from 1990 to 2021, stratified by subtype, demographics, and risk factors.
Yuping Wu   +8 more
wiley   +1 more source

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

open access: yesMed Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu   +3 more
wiley   +1 more source

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