Speak and you shall predict: evidence that speech at initial cocaine abstinence is a biomarker of long-term drug use behavior.

Background: Valid scalable biomarkers for predicting longitudinal clinical outcomes in psychiatric research are crucial for optimizing intervention and prevention efforts. Here we recorded spontaneous speech from initially abstinent individuals with cocaine use disorder (iCUD) for use in predicting drug use outcomes.

Methods: At baseline, 88 iCUD provided 5-minute speech samples describing the positive consequences of quitting drug use and negative consequences of using drugs.

The 2025 Motile Active Matter Roadmap.

Activity and autonomous motion are fundamental aspects of many living and engineering systems. Here, the scale of biological agents covers a wide range, from nanomotors, cytoskeleton, and cells, to insects, fish, birds, and people. Inspired by biological active systems, various types of autonomous synthetic nano- and micromachines have been designed, which provide the basis for multifunctional, highly responsive, intelligent active materials.

A multi-model study to inform the United States' 2035 NDC.

In 2025, countries are expected to submit a third round of nationally determined contributions (NDCs) that outline emission reduction goals for 2035. These new NDCs will be important for global alignment with the Paris Agreement's long-term goals. Setting an ambitious and plausible 2035 NDC in the United States (US) could be crucial in motivating high levels of ambition globally.

Sex disparities in outcome of medication-assisted therapy of opioid use disorder: Nationally representative outpatient clinic data.

Question: The opioid epidemic causes massive morbidity, and males have substantially greater overdose mortality rates than females. It is unclear whether there are sex-related disparities at different stages in the trajectory of opioid use disorders (OUD), from large samples in the community.

Goal: To determine sex disparities in non-medical opioid use (NMOU) at the end of treatment with medications for opioid use disorder (MOUD), using national data.

Exploring the acceptability of a risk prediction tool for cardiometabolic risk (gestational diabetes and hypertensive disorders of pregnancy) for use in early pregnancy: A qualitative study.

Problem/ Background: The acceptability of providing women with personalised cardiometabolic risk information using risk prediction tools early in pregnancy is not well understood.

Aim: To explore women's and healthcare professionals' perspectives of the acceptability of a prognostic, composite risk prediction tool for cardiometabolic risk (gestational diabetes and/or hypertensive disorders of pregnancy) for use in early pregnancy.

Methods: Semi-structured interviews were conducted to explore the acceptability of cardiometabolic risk prediction tools, preferences for risk communication and considerations for implementation into antenatal care.