Neurocognition and affective temperament in first-degree relatives of patients with bipolar disorder in south India: a cross-sectional study.

Background: Endophenotypes aid in studying the complex genetic basis of bipolar disorder. We aimed to compare first-degree relatives of patients with bipolar I disorder in a hospital in India with unrelated healthy controls in terms of neurocognition and affective temperament METHODS. This cross-sectional study was conducted between August and November 2012 at a tertiary hospital in India.

A comprehensive and bias-free machine learning approach for risk prediction of preeclampsia with severe features in a nulliparous study cohort.

Preeclampsia is one of the leading causes of maternal morbidity, with consequences during and after pregnancy. Because of its diverse clinical presentation, preeclampsia is an adverse pregnancy outcome that is uniquely challenging to predict and manage. In this paper, we developed racial bias-free machine learning models that predict the onset of preeclampsia with severe features or eclampsia at discrete time points in a nulliparous pregnant study cohort.

Efficacy and safety of Donidalorsen in Hereditary Angioedema with C1 inhibitor deficiency: a systematic review and a meta analysis.

Hereditary angioedema with C1 inhibitor deficiency (HAE-C1-INH) is a rare disorder characterized by recurrent, potentially life-threatening swelling in various parts of the body, including the limbs, face, and airways Current treatments focus primarily on symptomatic relief and the management of acute attacks, without targeting the underlying genetic cause or the dysregulated bradykinin production. Donidalorsen, a novel antisense oligonucleotide, addresses a key driver of HAE-C1-INH by targeting prekallikrein (PKK) to reduce bradykinin levels. This meta-analysis evaluates the efficacy and safety of Donidalorsen versus placebo, focusing on two dosing regimens: 4-week and 8-week intervals.