Results 71 to 80 of about 86,483 (289)

Targeting transcription factors associated with hemoglobinopathies: Lessons from successful interventions and implications for cancer

Molecular Oncology, EarlyView.
This review summarizes the transcription factors, repressive chromatin‐modifying complexes, and epigenetic mechanisms that control fetal hemoglobin repression. Notably, many regulators of γ‐globin silencing also function in transcriptional and epigenetic networks that drive cancer, highlighting opportunities to translate advances in hemoglobinopathy ...
Meigen Yu, Puspa Das, Xing Zhang, Xiaodong Cheng   +3 more
wiley   +1 more source

Spatial biology in cancer epigenetics

Molecular Oncology, EarlyView.
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley   +1 more source

A socio-technical agent-based simulation model for predicting smart agriculture adoption dynamics

Scientific Reports
Traditional technology adoption models in agriculture fail to adequately capture the complex interplay of socio-technical factors that drive farmer decision-making, resulting in limited predictive accuracy and insufficient understanding of diffusion ...
Yahya S. Alotibi
doaj   +1 more source

Adoption and Diffusion of Transcarotid Artery Revascularization in Contemporary Practice. [PDF]

Circ Cardiovasc Interv, 2023
Columbo JA, Stone DH, Martinez-Camblor P, Goodney PP, O'Malley AJ, O'Malley AJ.   +5 more
europepmc   +1 more source

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

FEBS 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, Grigorii Rakhalskii, Miroslav Almáši   +2 more
wiley   +1 more source

Technology adoption and diffusion in healthcare at onset of COVID-19 and beyond. [PDF]

Healthc Manage Forum, 2022
Liu L, Miguel-Cruz A.
europepmc   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Can Industrial Robot Adoption Improve the Green Total Factor Productivity in Chinese Cities?

Systems
Industrial robot adoption significantly affects economic growth and environmental protection, serving as a critical driver of green development.
Siying Chen, Siying Mu, Yedong Feng, Zhixiong Tan   +3 more
doaj   +1 more source

From energy provision to protein synthesis: Tunnelling nanotubes as mediators of intercellular metabolic cooperation in cancer

FEBS Open Bio, EarlyView.
The cytoskeleton‐mediated transport of mitochondria via tunnelling nanotubes restores respiration, increases ATP production, rescues cells from apoptosis, activates the AKT/mTOR signalling pathway, promotes cell migration and invasiveness, contributes to cancer progression and treatment resistance.
Stanislava Martínková, Jan Trnka
wiley   +1 more source

Do Technology Spillovers Accelerate Performance of Firms? Unravelling a Puzzle from Indian Manufacturing Industry [PDF]

Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics, 2016
This paper explores the relationship between technology spillovers and productivity for a sample of Indian manufacturing firms over the period 2001-2012.
Awadhesh Pratap SINGH
doaj