Nose-to-Brain Delivery of Biomimetic Nanoparticles for Glioblastoma Targeted Therapy.

Glioblastoma (GBM) is an extremely aggressive form of brain cancer that remains challenging to treat, especially owing to the lack of effective targeting and drug delivery concerns. Due to its anatomical advantages, the nose-to-brain strategy is an interesting route for drug delivery. Nanoengineering has provided technological tools and innovative strategies to overcome biotechnological limitations, which is promising for improving the effectiveness of conventional therapies.

Rapamycin-loaded nanostructured lipid carrier modified with folic acid intended for breast cancer therapy.

Breast cancer stands as the most common form of malignancy among women globally, and it showcases commendable rates of cure when detected in early-stage and non-metastatic conditions. To overcome drug resistance and side effects observed in conventional chemotherapy, the present study aims to deliver rapamycin (RAP), a mTOR protein inhibitor, into a nanostructured lipid carrier (NLC) functionalized with folic acid for promoting active targeting to breast cancer cells. In the first step, the synthesis of 1,2-distearoyl-sn-glycero-3-phosphatidylethanolamine-N-[amino(polyethylene glycol)-2000] (ammonium salt) with folic acid (DSPE-PEG-FA) was successfully performed and characterized by UV spectroscopy, nuclear magnetic resonance, and infrared spectroscopy.

Results of the 2023 ISBI challenge to reduce GABA-edited MRS acquisition time.

Purpose: Use a conference challenge format to compare machine learning-based gamma-aminobutyric acid (GABA)-edited magnetic resonance spectroscopy (MRS) reconstruction models using one-quarter of the transients typically acquired during a complete scan.

Methods: There were three tracks: Track 1: simulated data, Track 2: identical acquisition parameters with in vivo data, and Track 3: different acquisition parameters with in vivo data. The mean squared error, signal-to-noise ratio, linewidth, and a proposed shape score metric were used to quantify model performance.

Advancing clinical translation of cardiac biomechanics models: a comprehensive review, applications and future pathways.

Cardiac mechanics models are developed to represent a high level of detail, including refined anatomies, accurate cell mechanics models, and platforms to link microscale physiology to whole-organ function. However, cardiac biomechanics models still have limited clinical translation. In this review, we provide a picture of cardiac mechanics models, focusing on their clinical translation.