Anti-miR21-conjugated DNA nanohydrogel for enhanced cancer therapy.

MicroRNAs (miRNAs) are non-coding, endogenous small single-stranded RNA molecules involved in post-transcriptional regulation of gene expression. It has been demonstrated that dysregulation of miRNA plays a major role in tumor formation, proliferation, and metastasis. Therefore, the delivery of anti-miRNA oligonucleotides to block the activity of these oncogenic miRNAs is a high-potential anti-cancer therapy approach.

Therapeutic effect of novel drug candidate, PRG-N-01, on NF2 syndrome-related tumor.

Background: NF2-related schwannomatosis (NF2-SWN) is associated with multiple benign tumors in the nervous system. NF2-SWN, caused by mutations in the NF2 gene, has developed into intracranial and spinal schwannomas. Because of the high surgical risk and frequent recurrence of multiple tumors, targeted therapy is necessary.

Machine learning optimal ordering in global routing problems in semiconductors.

In this work, we propose a new method for ordering nets during the process of layer assignment in global routing problems. The global routing problems that we focus on in this work are based on routing problems that occur in the design of substrates in multilayered semiconductor packages. The proposed new method is based on machine learning techniques and we show that the proposed method supersedes conventional net ordering techniques based on heuristic score functions.

Autophagic signatures in peripheral blood mononuclear cells from Parkinson's disease patients.

Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by motor impairments and the accumulation of misfolded α-synuclein. Dysregulation of the autophagy-lysosomal pathway (ALP), responsible for degrading misfolded proteins, has been implicated in PD pathogenesis. However, current diagnostic approaches rely heavily on motor symptoms, which occur due to substantial neurodegeneration, limiting early detection and intervention.