- Schizophrenia research and treatment
- Mental Health Research Topics
- Innovative Human-Technology Interaction
- Digital Mental Health Interventions
- Context-Aware Activity Recognition Systems
- Mobile Health and mHealth Applications
- Mental Health and Psychiatry
- Emotion and Mood Recognition
- Personality Disorders and Psychopathology
- Tryptophan and brain disorders
- Stuttering Research and Treatment
- Human Mobility and Location-Based Analysis
- Mobile Crowdsensing and Crowdsourcing
- Respiratory viral infections research
- Voice and Speech Disorders
- Technology Use by Older Adults
- Diet and metabolism studies
- Language Development and Disorders
- SARS-CoV-2 and COVID-19 Research
- Color perception and design
- Speech Recognition and Synthesis
- Neurobiology of Language and Bilingualism
- Health Literacy and Information Accessibility
- Green IT and Sustainability
- Non-Invasive Vital Sign Monitoring
Feinstein Institute for Medical Research
2021-2025
Yale University
2022-2024
Northwell Health
2021-2024
Zucker Hillside Hospital
2021-2024
Alexandria University
2024
Cornell University
2021-2022
Donald & Barbara Zucker School of Medicine at Hofstra/Northwell
2020
Queen Mary University of London
2015-2019
Studies during the COVID-19 pandemic showed that children had heightened nasal innate immune responses compared with adults. To evaluate role of viruses and bacteria in driving these responses, we performed cytokine profiling comprehensive, symptom-agnostic testing for respiratory bacterial pathobionts nasopharyngeal samples from tested SARS-CoV-2 2021-22 (n = 467). Respiratory and/or were highly prevalent (82% symptomatic 30% asymptomatic children; 90 49% <5 years). Virus detection load...
There is a current trend of wearable sensing with regards to health. Wearable sensors in devices as simple our own mobile phones allow us monitor various aspects lives. Through this monitoring, systems can utilise data positively influence an individual's overall health and
Abstract Background and Hypothesis Quantitative acoustic textual measures derived from speech (“speech features”) may provide valuable biomarkers for psychiatric disorders, particularly schizophrenia spectrum disorders (SSD). We sought to identify cross-diagnostic latent factors disturbance with relevance SSD computational modeling. Study Design Clinical ratings were generated across 14 items a sample (N = 343), including (n 90). Speech features quantified using an automated pipeline brief...
We focus on the stories of five older adults who became voice assistant users through our study, and with whom we speculated about future interfaces two design probes, one for health data reporting positive reminiscing. delivered a voice-first ambient interface (VFAI) to each participant, closely observed participants' journeys periodic themed interviews (16 hours, 21 minutes transcribed recordings), usage log reviews (4,657 entries), phone text support. Participants' lived experiences...
Modern sensing technology is becoming increasingly ubiquitous. Mobile phone data has been used in research to address health and wellbeing; but the last years, wearable became broadly available popular. This opens new opportunity for well-being wild. We will present an easy-to-use application log current emotional states on a widely smartwatch collect additional, body build basis algorithms, interventions technology-supported therapy around this promote mental well-being.
Background and Objectives: Prior research has successfully identified linguistic behavioral patterns associated with schizophrenia spectrum disorders (SSD) from user generated social media activity. Few studies, however, have explored the potential for image analysis to inform psychiatric care individuals SSD. Given popularity of image-based platforms, such as Instagram, investigating data could further strengthen associations between activity health. Methods: We collected 11,947 Instagram...
Graphical representations of speech generate powerful computational measures related to psychosis. Previous studies have mostly relied on structural relations between words as the basis graph formation, i.e., connecting each word next in a sequence words. Here, we introduced method formation grounded semantic relationships by identifying elements that act upon other (action relation) and contents those actions (predication relation). Speech from picture descriptions open-ended narrative...
Wearable, sensor-equipped devices -- often referred to as wearables became increasingly public accessible during the last years. Health and fitness offer ubiquitous continuous sensing of various aspects our lives help us reflect learn about ourselves. The rising social acceptance body-worn technology is also a driver for increasing adoption on consumer level - especially healthcare sector booming [1]. Consumer surveys discovered that users expect them live longer happier [6].
Remembering our day-to-day social interactions is challenging even if you aren't a blue memory challenged fish. The ability to automatically detect and remember these types of not only beneficial for individuals interested in their behavior crowded situations, but also interest those who analyze crowd behavior. Currently, detecting often performed using ethnographic studies, computer vision techniques manual annotation-based data analysis. However, mobile phones offer easier means collection...
Abstract Functional impairments contribute to poor quality of life in schizophrenia spectrum disorders (SSD). We sought (Objective I ) define the main functional phenotypes SSD, then II identify key biopsychosocial correlates, emphasizing interpretable data-driven methods. Objective was tested on independent samples: Dataset ( N = 282) and 317), with SSD participants who underwent assessment multiple functioning areas. Participants were clustered based functioning. evaluated by identifying...
Digital health technologies are increasingly being integrated into mental care. However, the adoption of these can be influenced by patients' digital literacy and attitudes, which may vary based on sociodemographic factors. This variability necessitates a better understanding patient attitudes to prevent divide, worsen existing care disparities.
Social cognitive impairments are core features of schizophrenia spectrum disorders (SSD) and associated with greater functional impairment decreased quality life. Metabolic disturbances have been related to in general neurocognition, but their relationship social cognition has not previously reported. In this study, metabolic measures were assessed 245 participants SSD 165 healthy comparison subjects (HC), excluding those hemoglobin A1c (HbA1c) > 6.5%. Tasks emotion processing, theory mind,...
Fitness trackers not just provide easy means to acquire physiological data in real-world environments due affordable sensing technologies, they further offer opportunities for physiology-aware applications and studies HCI; however, their performance is well understood. In this paper, we report findings on the quality of 3 technologies: PPG-based wrist (Apple Watch, Microsoft Band 2), an ECG-belt (Polar H7) reference device with stick-on ECG electrodes (Nexus 10). We collected (heart rate,...
Sensing data from wearables have been extensively evaluated for fitness tracking, health monitoring or rehabilitation of individuals. However, we believe that wearable sensing can go beyond the individual and offer insights into social dynamics interactions with other users by considering multi-user data. In this work, present a new approach to using wrist-worn detection interaction features based on interpersonal synchrony - an transferable smart-watches trackers. We build up related work...
Health and fitness wearable technology has recently advanced, making it easier for an individual to monitor their behaviours. Previously self generated data interacts with the user motivate positive behaviour change, but issues arise when relating this long term mention of devices. Previous studies within area are discussed. We also consider a new approach where is used support instead motivate, through monitoring logging encourage reflection. Based on highlighted, we then make...
Remembering our day-to-day social interactions is challenging even if you aren't a blue memory challenged fish. The ability to automatically detect and remember these types of not only beneficial for individuals interested in their behavior crowded situations, but also interest those who analyze crowd behavior. Currently, detecting often performed using variety methods including ethnographic studies, computer vision techniques manual annotation-based data analysis. However, mobile phones...
Abstract Background and Hypothesis Quantitative acoustic textual measures derived from speech (“speech features”) may provide valuable biomarkers for psychiatric disorders, particularly schizophrenia spectrum disorders (SSD). We sought to identify cross-diagnostic latent factors disturbance with relevance SSD computational modeling. Study Design Clinical ratings were generated across 14 items a sample (N=343), including (n=97). Speech features quantified using an automated pipeline brief...
We present a framework - AWSense for eased sensing data collection from an Apple Watch wearable device. The eases the access, transmission and export of This comprises: heart rate, raw acceleration, computed device motion. In our demo, we sample applications built on top this to show its capabilities, real-time presentation recording data.
Summary Recent work indicates that heightened nasal innate immunity in children may impact SARS-CoV-2 pathogenesis. Here, we identified drivers of immune activation using cytokine profiling and multiplex pathogen detection 291 pediatric nasopharyngeal samples from the 2022 Omicron surge. Nasal viruses bacterial pathobionts were highly prevalent, especially younger (81% symptomatic 37% asymptomatic overall; 91% 62% subjects <5 yrs). For SARS-CoV-2, viral load was highest young children,...
<sec> <title>BACKGROUND</title> Digital health technologies are increasingly being integrated into mental care. However, the adoption of these can be influenced by patients' digital literacy and attitudes, which may vary based on sociodemographic factors. This variability necessitates a better understanding patient attitudes to prevent divide, worsen existing healthcare disparities. </sec> <title>OBJECTIVE</title> study aimed assess toward among diverse psychiatric outpatient population....