Results 111 to 120 of about 307,974 (304)

Multitask CapsNet: An Imbalanced Data Deep Learning Method for Predicting Toxicants

open access: yesACS Omega, 2021
Yiwei Wang   +6 more
doaj   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

open access: yesFEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová   +2 more
wiley   +1 more source

Natural Products as Geroprotective Modulators in Diabetic Nephropathy: A Mechanistic Framework Integrating Aging Hallmarks and the AMPK–SIRT1–Nrf2 Axis

open access: yesAging and Cancer, EarlyView.
Natural products target the aging kidney in diabetic nephropathy by restoring the AMPK–SIRT1–Nrf2 axis, reducing oxidative stress, inflammation, fibrosis, and cellular senescence while enhancing mitochondrial biogenesis and antioxidant defenses.
Sherif Hamidu   +8 more
wiley   +1 more source

Advancing through the blood-brain barrier: mechanisms, challenges and drug delivery strategies

open access: yesADMET and DMPK
Background and purpose: The delivery of therapeutics to the central nervous system (CNS) remains a major challenge due to the restrictive nature of the blood-brain barrier (BBB), a key evolutionary feature that preserves brain homeostasis.
Ronny Vargas   +8 more
doaj   +1 more source

Five energy window scatter correction for 111-In µSPECT [PDF]

open access: yes, 2009
Objectives: In preclinical molecular imaging, large interest exists for absolute quantification, since this would allow for an accurate evaluation of disease progression. Photon scatter is one of the limiting factors for quantitative imaging.
Kint, Eva
core   +1 more source

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

Research Progress on Quality Evaluation of Drug-Loaded Contact Lenses

open access: yesZhongguo yiliao qixie zazhi
As a novel ocular drug delivery system, drug-loaded contact lenses have overcome the limitations of traditional ophthalmic drug formulations and possess characteristics such as high bioavailability, low toxicity and side effects, and prolonged effective ...
Zhuoyu SONG   +5 more
doaj   +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

Exploratory Analysis of ELP1 Expression in Whole Blood From Patients With Familial Dysautonomia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Familial dysautonomia (FD) is a hereditary neurodevelopmental disorder caused by aberrant splicing of the ELP1 gene, leading to a tissue‐specific reduction in ELP1 protein expression. Preclinical models indicate that increasing ELP1 levels can mitigate disease manifestations.
Alejandra González‐Duarte   +13 more
wiley   +1 more source

Alternative Models for Anticancer Drug Discovery From Natural Products Using Binary Tumor‐Microenvironment‐on‐a‐Chip

open access: yesAdvanced Science
The efficacy evaluation of anticancer drugs derived from natural products has traditionally relied on animal models, highlighting the need for more efficient preclinical assessment platforms.
Youngwon Kim   +7 more
doaj   +1 more source

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