Resources

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Prediction of Medication Adherence in Clinical Trials Using Machine Learning

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Development of a Composite Site Performance Score: Optimizing Site Selection and Trial Methodology

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Using Smartphone-recorded Facial and Verbal Features to Predict Clinical Functioning in Individuals with Neuro-psychiatric Disorders

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Measurement of Clinical Tremor Using a Computer Vision Model

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Using AI/ML to Empirically Measure Intentional Dose Non-adherence: Impact on Clinical Trial Methodology and Data Interpretation

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Cost-Effectiveness of Novel Artificial Intelligence Platform AiCure for Active Tuberculosis Treatment in Los Angeles County

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Using Computer Vision and Machine Learning to Identify Patterns of Fraudulent Participant Activity in CNS Trials

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Assessing the Value of an AI Platform During Screening to Predict Adherence to Study Drug During Treatment in an Ongoing Proof-of-concept Study in Schizophrenia

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Using Artificial Intelligence Platforms to Enhance Study Design in Schizophrenia Trials