AI Medical Compendium

Multimodal machine learning integrates clinical and comorbidity data to predict breast cancer prognosis and treatment outcomes.

Scientific reports Apr 19, 2026

Breast cancer prognosis and treatment outcomes are shaped by intricate interplay between tumor biology, systemic comorbidities, and patient-reported functional status. This paper introduces a framework to address critical gaps in precision oncology b... read more

Feasibility of implementing a multicultural curriculum through artificial intelligence: perspectives of educational science experts.

Scientific reports Apr 19, 2026

Predicting disease progression in multiple sclerosis with clinically accessible information and technology.

Journal of neurology Apr 19, 2026

BACKGROUND: Predicting disease progression at the individual level is essential for personalized medicine. We previously developed machine-learning tools to estimate 5-year progression risk in people with multiple sclerosis (PwMS). Such models should... read more

Effective elimination of respiratory misregistration-induced attenuation correction errors in PET/CT via deep learning trained on data-driven gated PET from strictly respiratory-phase-matched PET/CT cases.

EJNMMI physics Apr 19, 2026

Clinical Machine Learning Model for Predicting Pathological Complete Response in Patients with Esophageal and Gastroesophageal Junction Adenocarcinoma After Trimodality Therapy.

Annals of surgical oncology Apr 19, 2026

BACKGROUND: Accurate prediction of pathological complete response (pCR) after preoperative chemoradiation therapy, followed by surgery (trimodality therapy) in esophageal adenocarcinoma (EAC) and gastroesophageal junction adenocarcinoma (GEJAC) may i... read more

Addressing Small Data Challenges in Biopharmaceutical Development and Manufacturing: A Mini Review of Multi-Fidelity Techniques.

Biotechnology and bioengineering Apr 19, 2026

The growing demand for biopharmaceutical products reflects their effectiveness in medical treatments. However, developing new biopharmaceuticals remains a major bottleneck, often taking up to a decade before market approval. Machine learning (ML) mod... read more

Pre-Imaging Clinical Factors Associated With Cardiac MR Image Quality Using Large Language Model-Enabled Data Extraction.

Journal of magnetic resonance imaging : JMRI Apr 19, 2026

BACKGROUND: Poor cardiac MR image quality can prompt repeat examinations and hinder clinical decision-making. PURPOSE: To evaluate whether pre-imaging clinical information, extracted using a large language model (LLM), is independently associated wit... read more

From Time-Limited Therapy to Treatment-Free Observation: The Evolving Role of MRD in CLL Management.

European journal of haematology Apr 19, 2026

The integration of measurable residual disease (MRD) into the management of chronic lymphocytic leukemia (CLL) has emerged as a major advance in risk stratification and trial design, particularly in the context of time-limited, targeted regimens. Hig... read more

Integrating Cascade Mechanistic Insights into Structure-Activity Relationships for Quantitative Mode-of-Action Analysis: A Novel Risk Assessment Framework for OPFRs.

Environmental science & technology Apr 19, 2026

Organophosphate flame retardants (OPFRs), as emerging substitutes for halogenated flame retardants, are widely detected in populations and pose global health concerns. However, their structural diversity and expanding numbers challenge conventional e... read more

Ethics in the evaluation of the quality of scientific research: An AIOM-TJ roundtable.

Tumori Apr 19, 2026

The current scientific ecosystem is characterized by a systemic crisis driven by the Publish or Perish culture and an exponential growth in publication volumes that outpaces the number of active researchers. Here, we highlight the limitations of trad... read more

Artificial Intelligence Medical Compendium