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This study found that inhibiting NF-κB Essential Modulator (NEMO) in senescent murine dermal fibroblasts successfully reduced key factors associated with the senescence associated secretory phenotype (SASP), highlighting its potential as a therapeutic target for aging-related diseases.

This study used a probabilistic Boolean network model to explore hair follicle cell fate regulation and predicted that varying TGF-β levels, in coordination with BMP and TNF, can influence either apoptosis or cell proliferation during different follicle growth stages.

In this study, researchers developed a novel computational framework using deep reinforcement learning to identify strategies for cellular reprogramming in gene regulatory networks, showing its effectiveness in a model of immune response against infection.

In this scoping review, researchers observed that while AI-assisted trichoscopy holds promise for standardized assessments of hair and scalp disorders, its clinical translation is limited by small proprietary datasets, inconsistent validation protocols, and a scarcity of real-world clinical studies.

This study identified aging-related epigenetic and transcriptomic biomarkers and suggested that curcumin might target and inhibit the JUN gene, implicating potential therapeutic strategies against aging.