ZNFX1 functions as a master regulator of epigenetically induced pathogen mimicry and inflammasome signaling in cancer.

DNA methyltransferase and poly (ADP-ribose) polymerase inhibitors (DNMTis, PARPis) induce a stimulator of interferon genes (STING)-dependent pathogen mimicry response (PMR) in ovarian and other cancers. Here, we showed that combining DNMTis and PARPis upregulates expression of the nucleic-acid sensor NFX1-type zinc finger-containing 1 protein (ZNFX1). ZNFX1 mediated induction of PMR in mitochondria, serving as a gateway for STING-dependent interferon/inflammasome signaling.

Artificial Intelligence-Assisted Segmentation of a Falx Cerebri Calcification on Cone-Beam Computed Tomography: A Case Report.

Intracranial calcifications, particularly within the falx cerebri, serve as crucial diagnostic markers ranging from benign accumulations to signs of severe pathologies. The falx cerebri, a dural fold that separates the cerebral hemispheres, presents challenges in visualization due to its low contrast in standard imaging techniques. Recent advancements in artificial intelligence (AI), particularly in machine learning and deep learning, have significantly transformed radiological diagnostics.

Repopulation of a 3D simulated periapical lesion cavity with dental pulp stem cell spheroids with triggered osteoblastic differentiation.

We established a proof-of-concept model system for the biological healing of periapical lesions using stem cell spheroids. Mesenchymal stem cells from human exfoliated deciduous teeth (SHED) were cultured in a 2D monolayer and then as 3D multicellular spheroids. An image of a periapical lesion of an upper lateral incisor tooth was obtained by computed tomography and was used as a model for photopolymer resin 3D printing to generate a negative frame of the lesion.

Artificial intelligence versus semi-automatic segmentation of the inferior alveolar canal on cone-beam computed tomography scans: A pilot study.

Background: The inferior alveolar canal (IAC) is a fundamental mandibular structure. It is important to conduct a precise pre-surgical evaluation of the IAC to prevent complications. Recently, the use of artificial intelligence (AI) has demonstrated potential as a valuable tool for dentists, particularly in the field of oral and maxillofacial radiology.