21st Annual Scientific Meeting Posters

Click to view poster or abstract. Posters are listed in alphabetical order by first author. 

Abbas – Measurement of schizophrenia symptoms through speech phenotyping from PANSS recordings: a cross-study validation (Abstract)

Abbs – Translating animal models into clinical programs: The IRIS trial for investigational ML-004 in autism spectrum disorder (Abstract)

Anup – Standardization of EEG enrichment marker acquisitions in a randomized, double-blind, placebo-controlled study of ALTO-300 in adults with major depression disorder (Abstract)

Apter – Analyzing referral influx patterns over a 24-hour period and the impact of timely responses on referral engagement in depression trials (Abstract)

Arnovitz – Utility of negative symptom burden in predicting transition to psychosis among individuals at clinical high risk (Abstract)

Averill – Preliminary development of the Assessment of Rapid Affect Change (ARAC): A novel measure for psychoplastogen response (Abstract)

Bandeira – Ultra-low dose buprenorphine to sustain antidepressant and antisuicidal effects of intravenous ketamine in treatment-resistant depression with suicidal ideation: Protocol design and preliminary results from a randomized controlled trial (Abstract)

Barnum – Validation of a precision measure of cognitive change in a phase II clinical trial in early AD: The Early and Mild Alzheimer’s Cognitive Composite (EMACC) (Abstract)

Beaster – MedDRA coding conventions for describing unique psychoactive effects of empathogenic drugs (Abstract)

Cohen – Enrichment based on speech latency enhances treatment effects in a Phase III study of brilaroxazine (Abstract)

Cole – The patient and clinician reported circumplex model of depression (Abstract)

Daniel – Comparison of the ten-item pediatric Positive and Negative Syndrome Scale (PANSS-10) to the PANSS-6 in an adult, acutely exacerbated clinical trial population with schizophrenia (Abstract)

Deschamps – The effect of healthcare practitioner-participant interactions on participant heart rate during esketamine treatment (Abstract)

Efstathiadis – Speech-based quality analysis in COA administration: Profiling clinician behaviors in MADRS interviews (Abstract)

Elmi – A novel asynchronous video technology and service to secure protocol compliance in a phase 2 major depressive disorder trial (Abstract)

Geraci – Novel machine learning approach outperforms traditional approaches in major depressive disorder clinical trials: Identifying subpopulations based on treatment response (Abstract)

Geraci – Predictive biomarker discovery in schizophrenia using advanced machine learning to decode heterogeneity: Analysis of the CATIE schizophrenia trial (Abstract)

Gold – Clinician-administered assessments and impact on placebo response in recent major depressive disorder (MDD) clinical trials (Abstract)

Gross – Insights to action: A tech-enabled operational monitoring and reporting framework to achieve high adherence in clinical trials (Abstract)

Huoh – Online advertising resulted in more educated participants and non-inferior screen fail rates when compared to offline methods in an Alzheimer’s disease clinical trial (Abstract)

Kothare – Predicting disease progression trajectories in individuals with amyotrophic lateral sclerosis using multimodal digital biomarkers (Abstract)

Kott – The impact of PANSS change in screening on week 1 PANSS change in acute schizophrenia clinical trials (Abstract)

Menne – Speech measures associated with the course of symptoms severity in patients with MDD (Abstract)

Micaletto – Examining patterns of commonly observed quality issues across global schizophrenia clinical trial research sites (Abstract)

Mourgues Codern – Qualification plan for the PSYCHS as a COA for attenuated positive symptoms in patients at clinical high risk for psychosis (Abstract)

Namaky- Using exploratory graph analysis (EGA) to determine the role of insight on SIGH-D administration in an open-label trial (Abstract)

Petridis – Psilocybin-occasioned mystical-type experience predicts less heavy drinking in patients with alcohol use disorder (Abstract)

Ruthirakuhan – Implementing biomarker frameworks of Alzheimer’s and vascular disease trials to reduce cognitive decline in type 2 diabetes mellitus (Abstract)

Satodiya – Cannabis use in pregnant females: Importance for a need of biomarker for perinatal cannabis use (Abstract)

Setnik – Development of the subject-rated Comprehensive Drug Withdrawal Scale (CDWS) to evaluate the physical dependence potential of investigational drugs (Abstract)

Siegel – Precision functional mapping trials – A biomarker platform for neuropsychiatric drug development (Abstract)

Simmatis – Forecasting of change in speech function using remote assessment of acoustics (Abstract)

Sink – Remote assessment of cognition with the unsupervised version of the Cogstate Brief Battery: Association of composite endpoints with Alzheimer’s disease biomarkers (Abstract)

Tamman – Connectome predictive modelling of PTSD symptom severity (Abstract)

Tröger – Practice effects in digital semantic verbal fluency assessments improve detection of cognitive impairments in an older-age memory clinic population (Abstract)

Wacker – Acceptability and validity of the smartphone-administered version of the Cogstate Brief Battery in middle-aged and older adults of the Healthy Brain Project (Abstract)

 Wiedemann – Development of a Bayesian progression model to assess the impact of an intervention on the progression of multiple system atrophy (Abstract)

Williams – Evaluating the relationship among esketamine monotherapy efficacy and dissociation in patients with treatment-resistant depression (Abstract)

Wolff – Generative AI-enhanced language analysis for early detection of psychosis risk (Abstract)

Xu – Device agnostic digital Digit Symbol Substitution Test (DSST) for use on smartphones and tablets (Abstract)

Yang – Optimize clinical trial design to study nutraceutical correction of essential fatty acid ratio for weight restoration and maintenance in anorexia nervosa (Abstract) 

Zhuang – Optimizing composite endpoints: A machine learning approach to improve signal detection in clinical trials for neurodegenerative diseases (Abstract)