Exploring blood-brain barrier passage using atomic weighted vector and machine learning.

Context: This study investigates the potential of leveraging molecular properties, as determined by MD-LOVIs software and machine learning techniques, to predict the ability of compounds to cross the blood-brain barrier (BBB). Accurate prediction of BBB permeation is critical for the development of central nervous system (CNS) drugs. The study applies various machine learning models, including both classification and regression techniques, to predict BBB passage and molecular activity.

Underrepresented minority faculty in the USA face a double standard in promotion and tenure decisions.

Underrepresented minority (URM) faculty face challenges in many domains of academia, from university admissions to grant applications. We examine whether this translates to promotion and tenure (P&T) decisions. Data from five US universities on 1,571 faculty members' P&T decisions show that URM faculty received 7% more negative votes and were 44% less likely to receive unanimous votes from P&T committees.

L. cv. Falanghina Seed Extracts: Antioxidant Effect of Bioactive Compounds on HepG2 Cells.

L. is a natural source of bioactive compounds that is already used for cosmeceutical and nutraceutical approaches. However, their phytochemical and antioxidant properties, although studied, have not been fully explored.

Establishing a Collaborative Orthoplastic Approach for the Management of Primary Musculoskeletal Neoplasms: An 8-year Case Series.

Orthoplastic surgery is a multidisciplinary approach that is well-studied for extremity trauma, but not for musculoskeletal oncologic reconstruction. Here, the authors describe the application of a collaborative orthoplastic approach for the management of primary musculoskeletal neoplasms and evaluate its impact. The collaboration protocol, implemented in July 2019, comprises specific checkpoints of interdisciplinary co-management, which span the pre-, intra-, and postoperative treatment period.