A pain research strategy for Europe: A European survey and position paper of the European Pain Federation EFIC.

Background: Pain is the leading cause of disability and reduced quality of life worldwide. Despite the increasing burden for patients and healthcare systems, pain research remains underfunded and under focused. Having stakeholders identify and prioritize areas that need urgent attention in the field will help focus funding topics, reduce 'research waste', improve the effectiveness of pain research and therapy and promote the uptake of research evidence.

REDIportal: toward an integrated view of the A-to-I editing.

A-to-I RNA editing is the most common non-transient epitranscriptome modification. It plays several roles in human physiology and has been linked to several disorders. Large-scale deep transcriptome sequencing has fostered the characterization of A-to-I editing at the single nucleotide level and the development of dedicated computational resources.

Correlation of Polycystic Ovarian Syndrome Phenotypes With Pregnancy and Neonatal Outcomes.

Objective: To compare pregnancy and neonatal outcomes in women with hyperandrogenic polycystic ovarian syndrome (PCOS) phenotypes compared with nonhyperandrogenic PCOS phenotypes.

Methods: We conducted a retrospective cohort study of participants in the PPCOS (Pregnancy in Polycystic Ovary Syndrome) I and II randomized controlled trials; all of the participants met the National Institutes of Health diagnostic criteria for PCOS and were then sorted into three of the four Rotterdam criteria categories based on medical interview, demographics, physical examination, and laboratory data. The two hyperandrogenic (A and B) Rotterdam categories were compared with the nonhyperandrogenic phenotype of PCOS (phenotype D).

Discovering melting temperature prediction models of inorganic solids by combining supervised and unsupervised learning.

The melting temperature is important for materials design because of its relationship with thermal stability, synthesis, and processing conditions. Current empirical and computational melting point estimation techniques are limited in scope, computational feasibility, or interpretability. We report the development of a machine learning methodology for predicting melting temperatures of binary ionic solid materials.

Cannabis oil extracts for chronic pain: what else can be learned from another structured prospective cohort?

Introduction: The use of medicinal cannabis for managing pain expands, although its efficacy and safety have not been fully established through randomized controlled trials.

Objectives: This structured, prospective questionnaire-based cohort was aimed to assess long-term effectiveness and safety of cannabis oil extracts in patients with chronic pain.

Methods: Adult Israeli patients licensed to use cannabis oil extracts for chronic pain were followed prospectively for 6 months.