Logic-based machine learning predicts how escitalopram attenuates cardiomyocyte hypertrophy.

Cardiomyocyte hypertrophy is a key clinical predictor of heart failure. High-throughput and AI-driven screens have the potential to identify drugs and downstream pathways that modulate cardiomyocyte hypertrophy. Here, we developed LogiRx, a logic-based mechanistic machine learning method that predicts drug-induced pathways.

Patient experience and burden of haemolytic disease of the foetus and newborn: a systematic review.

Background: Haemolytic disease of the foetus and newborn (HDFN) is an immune disorder driven by maternal alloimmunisation against foetal/newborn red blood cell antigens. HDFN can cause significant morbidity and mortality, with symptoms in the foetus ranging from mild anaemia to hydrops fetalis. While in newborns, HDFN can lead to severe forms of neonatal hyperbilirubinaemia and kernicterus.

Syphilis in Pregnancy and Congenital Syphilis.

Syphilis, once in decline, is seeing a rapid re-emergence throughout the United States. A sexually transmitted infection caused by the spirochete Treponema pallidum, syphilis infection in pregnancy can result in serious complications and have a profound impact on maternal and neonatal health. As rates of syphilis have increased among people of reproductive age, so too have cases of congenital syphilis.

Reward processing deficits arise early in familial frontotemporal dementia.

Reward processing involves evaluation of stimuli to inform what an individual works to pursue or avoid. Patients with behavioral variant frontotemporal dementia (bvFTD) often display reward processing changes, including insensitivity to aversive stimuli. It is unknown how early in the disease course reward changes are detectable.