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Aug 31, 2026Open    Access

Pre-Initiation Prediction of Antidepressant-Associated Cycle Acceleration in Bipolar Disorder: A Synthetic Proof-of-Concept Study

Rocco De Filippis, Abdullah Al Foysal
Antidepressant-associated cycle acceleration (AICA), encompassing antidepressant-related switching, rapid-cycling induction or acceleration, and mixed-state emergence, is an important treatment-safety concern in bipolar disorder (BD). Because these outcomes may be difficult to distinguish from spontaneous illness progression, pre-initiation risk stratification is clinically relevant. This proof-of-concept simulation study evaluates whether a multivariate machine-learning framework can recover pr...
Open Access Library J.   Vol.13, 2026
Doi:10.4236/oalib.1115670


Aug 31, 2026Open    Access

Before the Wave: A Synthetic Longitudinal EHR Proof-of-Concept Study of SSRI-Associated Mood Destabilisation in Bipolar Disorder

Rocco De Filippis, Abdullah Al Foysal
Selective serotonin reuptake inhibitor (SSRI)-associated mood destabilisation, encompassing hypomania, mania, and mixed-state induction, is an important pharmacological safety concern in bipolar disorder. Current clinical decision-making relies largely on static baseline risk factors and therefore may not capture the temporal evolution of symptoms, medication exposure, adherence, sleep, and physiological measures across follow-up visits. This methodological proof-of-concept study evaluates wheth...
Open Access Library J.   Vol.13, 2026
Doi:10.4236/oalib.1115674


Aug 27, 2026Open    Access

Reinforcement Learning for Personalised Antidepressant Sequencing in Treatment-Resistant Bipolar Depression: A Simulation-Based Policy Optimisation Study

Rocco de Filippis, Abdullah Al Foysal
Treatment-resistant bipolar depression (TRD-BD), defined in this simulation as failure to achieve remission after at least two adequate pharmacological trials for the current bipolar depressive episode, including at least one antidepressant trial delivered with mood-stabilising treatment, is managed through a sequence of uncertain decisions: continue, switch antidepressant class, or augment with a mood stabiliser or atypical antipsychotic. Current practice relies on consensus bipolar-disorder gu...
Open Access Library J.   Vol.13, 2026
Doi:10.4236/oalib.1115677


Aug 27, 2026Open    Access

Transformer-Based Multimodal Prediction of Depressive Episode Onset in Bipolar Disorder from Simulated 30-Day Digital Phenotyping Streams: A Proof-of-Concept Study of Actigraphy, HRV, and Smartphone Behaviour

Rocco de Filippis, Abdullah Al Foysal
Depressive episodes in bipolar disorder are preceded by a prodromal phase in which subtle physiological and behavioural changes reduced daytime activity, fragmented and lengthened sleep, blunted circadian rhythm, diminished heart rate variability, and social withdrawal emerge before the patient or clinician recognises a clinical episode. Digital phenotyping, the continuous passive collection of behavioural and physiological data from wearable sensors and smartphones, offers an unprecedented wind...
Open Access Library J.   Vol.13, 2026
Doi:10.4236/oalib.1115678


Aug 27, 2026Open    Access

Heterogeneous Graph Neural Network Modelling of Mood Episode Recurrence in Bipolar Disorder: A Proof-of-Concept Simulation Study of Temporal, Pharmacological, and Social-Rhythm Relations

Rocco de Filippis, Abdullah Al Foysal
Mood episode recurrence in bipolar disorder is shaped by the structure of a patient’s episode history: the temporal succession of episodes, pharmacological transitions between episodes, and social-rhythm disruptions that may destabilise the circadian and social-zeitgeber system. Existing recurrence models generally flatten this history or merge all connections into one homogeneous graph, thereby discarding relation-type information. We therefore conducted a proof-of-concept simulation stud...
Open Access Library J.   Vol.13, 2026
Doi:10.4236/oalib.1115679


Aug 26, 2026Open    Access

Machine Learning-Based Identification of Clinical and Genetic Predictors of Antidepressant Non-Response in Bipolar Depression: A Simulation-Based Feature-Importance Study across BD-I and BD-II Subtypes

Rocco de Filippis, Abdullah Al Foysal
Antidepressant non-response in bipolar depression affects an estimated 40% - 55% of treated patients and is a major contributor to treatment chronification and pharmacological escalation. Although clinical, pharmacogenomic, and circadian correlates have been proposed, their combined predictive value remains uncertain. This study is a simulation-based proof of concept using a fully synthetic cohort and simulated outcomes; it does not constitute a validated clinical prediction. Because the full mo...
Open Access Library J.   Vol.13, 2026
Doi:10.4236/oalib.1115672


Aug 26, 2026Open    Access

Simulation-Based Bayesian Modelling of Antidepressant Discontinuation Risk in Bipolar Disorder: Integrating Side-Effect Profiles, Therapeutic Alliance Scores, and Synthetic Prescription Records

Rocco de Filippis, Abdullah Al Foysal
Antidepressant discontinuation in bipolar disorder is a clinically important contributor to treatment failure. Side-effect burden, therapeutic alliance, and prescription-adherence behaviour may jointly influence unplanned cessation. This proof-of-concept study evaluates whether those domains can support discontinuation-risk modelling in a fully synthetic cohort; it does not analyse real patient records or provide clinical validation. We generated a synthetic cohort of N = 900 antidepressant-expo...
Open Access Library J.   Vol.13, 2026
Doi:10.4236/oalib.1115673


Aug 24, 2026Open    Access

Deep Learning Classification of Treatment-Emergent Mania Following Antidepressant Initiation in Bipolar II Disorder: A Synthetic-Data Proof-of-Concept Using Longitudinal and Episode-Feature Attention

Rocco de Filippis, Abdullah Al Foysal
Treatment-emergent mania (TEM), including antidepressant-associated hypomanic or manic switching and cycle acceleration, is an important safety concern in bipolar II disorder. This study is a synthetic-data proof of concept: all patients, digital phenotyping streams, episode histories, pharmacological variables, and TEM outcomes were simulated. The findings, therefore, evaluate methodological feasibility rather than clinical effectiveness. We developed a multimodal modelling framework combining ...
Open Access Library J.   Vol.13, 2026
Doi:10.4236/oalib.1115671


Jul 07, 2026Open    Access

Behavioral Therapy for ADHD: Techniques and Benefits for Children

Chioma Precious Okeke, Zhanli Liu
Attention-Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder affecting approximately 5% - 10% of children worldwide. It is characterized by persistent patterns of inattention, hyperactivity, and impulsivity that impair academic, social, and family functioning. While pharmacological treatments, such as stimulants, are effective, behavioral therapy offers an evidence-based non-pharmacological alternative or adjunct therapy. Behavioral interventions address environment...
Open Access Library J.   Vol.13, 2026
Doi:10.4236/oalib.1115593


Jul 02, 2026Open    Access

Liminal Competence: An Original Construct for Sustainable Threshold-Dwelling in Ongoing Loss

Tim Mussche
Healthcare chaplains and clinicians increasingly encounter patients whose losses do not conclude: those in palliative trajectories, persons with progressive neurological disease, dementia caregivers, displaced persons, and incarcerated individuals. This article is a conceptual contribution that derives its construct from interdisciplinary literature rather than from new empirical data. The dominant resolution paradigm in grief theory—which treats mourning as a problem to be resolved through stag...
Open Access Library J.   Vol.13, 2026
Doi:10.4236/oalib.1115552


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