Binding Modes and Water-Mediation of Polyelectrolyte Adsorption to a Neutral CaCO Surface.

Aqueous polyelectrolytes are effective mineralization inhibitors due to their ability to template onto crystal surfaces and chelate ions in solution. These additives have been shown to alter the morphology of calcium carbonate crystals, making them promising candidates for biological and industrial applications. However, while key to designing more effective mineralization inhibitors, the molecular mechanisms governing the interactions between polyelectrolytes and crystal surfaces remain poorly understood.

Fourth ventricular roof angle does not predict surgical outcome in paediatric patients with Chiari I malformation.

Purpose: Pre-operative fourth ventricle roof angle (FVRA) has recently been highlighted as a novel radiographic predictor of clinical severity in Chiari type-I malformation (CM-I) as reported by Seaman et al. (J Neurosurg Pediatr 25:1-8, 2021). This has led to suggestions that FVRA could be included in algorithms to determine indications for surgery.

Machine learning in cancer-associated thrombosis: hype or hope in untangling the clot.

The goal of machine learning (ML) is to create informative signals and useful tasks by leveraging large datasets to derive computational algorithms. ML has the potential to revolutionize the healthcare industry by boosting productivity, enhancing safe and effective patient care, and lightening the load on clinicians. In addition to gaining mechanistic insights into cancer-associated thrombosis (CAT), ML can be used to improve patient outcomes, streamline healthcare delivery, and spur innovation.

DNA liquid biopsy-based prediction of cancer-associated venous thromboembolism.

Cancer-associated venous thromboembolism (VTE) is a major source of oncologic cost, morbidity and mortality. Identifying high-risk patients for prophylactic anticoagulation is challenging and adds to clinician burden. Circulating tumor DNA (ctDNA) sequencing assays ('liquid biopsies') are widely implemented, but their utility for VTE prognostication is unknown.