AI Medical Compendium

Performance evaluation of quantum support vector machine for COVID-19 biomarker analysis.

Computer methods and programs in biomedicine Apr 3, 2026

BACKGROUND AND OBJECTIVE: Identifying key biomarkers from multi-omics data is essential for advancing COVID-19 diagnosis and understanding disease mechanisms. Quantum machine learning approaches, particularly the quantum support vector machine, offer... read more

Beyond literacy to clinical competency: A framework for integrating generative AI into nursing education.

Nurse education today Apr 3, 2026

PROBLEM: Health systems are rapidly integrating generative artificial intelligence (GenAI) into clinical workflows, introducing safety risks including hallucinations and automation bias. These risks threaten patient safety when frontline nurses lack ... read more

An artificial intelligence model for accurate drug-target affinity prediction in medicinal chemistry.

European journal of medicinal chemistry Apr 3, 2026

Predicting Drug-Target Affinity (DTA) with high fidelity is critical for accelerating hit-to-lead optimization and understanding mechanism of action. While deep learning has transformed this field, current approaches often struggle with the effective... read more

Predicting disintegration time in fast-disintegrating tablets using machine learning: a data-driven framework based on functional excipient representation.

International journal of medical informatics Apr 3, 2026

BACKGROUND: Fast-disintegrating tablets (FDTs) are widely used oral dosage forms in which disintegration time is a critical quality attribute influencing drug release and patient compliance. However, formulation development is challenging due to comp... read more

Presence hallucination induction through robotically mediated somatomotor conflicts: A pooled analysis of 25 experiments.

Cortex; a journal devoted to the study of the nervous system and behavior Apr 3, 2026

Hallucinations are significant symptoms in psychiatric and neurodegenerative diseases, that may indicate advanced disease progression or worse disease forms. They are also frequent in healthy individuals, especially elderly or bereaved. Despite their... read more

Prediction of post-COVID chronic fatigue syndrome using data mining and machine learning techniques in Isfahan COVID cohort study.

Journal of infection and public health Apr 3, 2026

BACKGROUND: Post-COVID Fatigue (PCF) is one of the most common issues people face after recovering from COVID-19. Due to the heterogeneity of clinical manifestations and the lack of objective diagnostic criteria, the identification and prediction of ... read more

An enhanced framework for Parkinson's disease severity prediction using improved optimization in multi-scale TCN.

Computational biology and chemistry Apr 3, 2026

RESEARCH BACKGROUND: Parkinson's Disease (PD) requires accurate severity prediction models for enabling efficient treatment planning and disease management. The recent improvements in deep learning have shown promising results while predicting PD sev... read more

Multimodal deep learning for international investment arbitration outcome prediction and bilateral investment agreement negotiation strategy optimization.

Scientific reports Apr 3, 2026

International investment arbitration has expanded at a remarkable pace over the past two decades, generating pressing demand for robust outcome prediction tools that can guide strategic decisions. This study presents a multimodal deep learning framew... read more

PRET is a few-shot system for pan-cancer recognition without example training.

Nature cancer Apr 3, 2026

Pathological examination stands as the cornerstone in cancer diagnosis, impacting millions worldwide annually. With the shortage of pathologists globally, artificial intelligence (AI) has emerged rapidly to automate the diagnostics process. However, ... read more

Machine learning prediction of hospitalization outcomes in critically Ill emergency department patients transported by ambulance: A Retrospective Single Center Cohort Study.

BMC emergency medicine Apr 3, 2026

Artificial Intelligence Medical Compendium