Magdalena Romanowicz, M.D.

The purpose of this study is to develop generative algorithms with closed-loop feedback using 5.4 million minutes of smartwatch data collected from 50 children (aged 3 – 7 years) and parent-provided timestamps (closed-loop feedback) of disruptive behavior (characterized by temper outbursts).

Alcohol abuse and dependence remain highly prevalent and disabling. Persistent low treatment rates and high relapse rates indicate the need for more research in treatment of alcoholism. It is well known that craving is a core component of alcohol dependence associated with relapse. Unfortunately current methods of assessment of craving intensity are based on the subjective response to questionnaires. Identification of the physiological correlates of craving intensity holds promise for improving our understanding and prediction of which patients will be at higher risk of relapse. Number of studies showed that cue induced craving for alcohol was associated with changes in length of the heart inter-beat intervals also called heart rate variability (HRV). HRV can be easily and noninvasively monitored and analysis of its indices provides means of understanding the interplay between autonomic and cardiovascular functional regulation. We hypothesize that alcohol dependent subjects will demonstrate increased HRV indices after treatment, compared to HRV indices at time of admission.

Aim 1. To examine the feasibility of a simple 5 minutes screening procedure that assesses relationship between an infant and their caregiver and the caregiver's capacity to repair and re-regulate the infants' state at 4 and 12 months WBVs (Well-Baby Visits).

Aim 2. To develop a brief and easy to implement intervention that could be applied in dyads that show signs of distress at 4 and/or 12 months vaccination appointment and examine the difference in retention rate between patients who were identified at risk at either of the appointments (at 4 or at 12 months) or at both of the appointments (at 4 and at 12 months).

The purpose of this study is to develop an innovative wearable tracking protocol that will use AI technology to monitor sleep and behavior of 3-7 year old children.

The purpose of this study is to investigate the effects of implementing Parent-Child Interaction Therapy (PCIT) delivered by nurses within Child and Adolescent Psychiatry Inpatient Unit & assess the impact of PCIT training on nurses' knowledge, skills, and confidence in facilitating effective parent-child interactions.