Results 161 to 170 of about 321,955 (260)
Cutaneous Melanoma Drives Metabolic Changes in the Aged Bone Marrow Immune Microenvironment
Melanoma, the deadliest form of skin cancer, increasingly affects older adults. Our study reveals that melanoma induces changes in iron and lipid levels in the bone marrow, impacting immune cell populations and increasing susceptibility to ferroptosis.
Alexis E. Carey +12 more
wiley +1 more source
Database reverse engineering based on meta-models
Ristić Sonja +4 more
doaj +1 more source
Reverse engineering of feedforward cortical-Hippocampal microcircuits for modelling neural network function and dysfunction. [PDF]
Hanssen KS +6 more
europepmc +1 more source
Aging Is a Key Driver for Adult Acute Myeloid Leukemia
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
Reverse Engineering of Radical Polymerizations by Multi-Objective Optimization. [PDF]
Fiosina J +4 more
europepmc +1 more source
Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance
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
Supercomputer framework for reverse engineering firing patterns of neuron populations to identify their synaptic inputs. [PDF]
Chardon MK +7 more
europepmc +1 more source
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Bridging human and machine intelligence: Reverse-engineering radiologist intentions for clinical trust and adoption. [PDF]
Awasthi A +5 more
europepmc +1 more source

