AI Medical Compendium

2.5D HAU-Net with gated spatial attention for automatic hippocampus segmentation in MRI.

Journal of neuroscience methods Mar 6, 2026

BACKGROUND: The hippocampus is a key brain region and biomarker for Alzheimer's disease (AD). Accurate automated hippocampal segmentation is essential for anatomical and pathological analysis. However, the gap between model complexity and available c... read more

Ethics in publishing: From plagiarism to artificial intelligence.

Autoimmunity reviews Mar 6, 2026

The digitization of research has transformed how evidence is gathered, hypotheses are generated, and manuscripts are written, introducing ethical challenges related to plagiarism, authorship, and artificial intelligence (AI) in medical writing. This ... read more

Integrating single-cell atlases and machine learning to construct 'in silico patients' for predicting individualized drug responses.

Biochemical pharmacology Mar 6, 2026

Intratumoral cellular heterogeneity is a core challenge that drives drug resistance and hinders the advancement of precision oncology. Single-cell RNA sequencing (scRNA-seq) has revealed the complexity of the tumor ecosystem at unprecedented resoluti... read more

CRISPR-Cas12a/Cas13a in cancer molecular diagnosis.

Clinica chimica acta; international journal of clinical chemistry Mar 6, 2026

Cancer remains a leading cause of global mortality, with early diagnosis being pivotal for improving treatment outcomes. Traditional tissue biopsy is limited by its invasiveness, inability to capture tumor heterogeneity, and failure to support dynami... read more

Pharmacokinetic modeling to optimize development and therapeutic potential of mAb-based therapies.

Advanced drug delivery reviews Mar 6, 2026

Monoclonal antibody (mAb)-based therapies have revolutionized modern medicine, offering highly specific and effective treatments for a wide range of diseases, including cancer, autoimmune disorders, infectious diseases, and neurological conditions. W... read more

Living evidence and gap maps: a scoping review of automation and living mode parameters reported in 44 digital interfaces and their documentation.

Journal of clinical epidemiology Mar 6, 2026

OBJECTIVE: To examine how continually updated, living evidence and gap maps (L-EGMs) with an online presence report planned update schedules, retirement plans, living status, use of automation across review stages, and the methodological guidance cit... read more

Enhancing adverse drug event extraction and summarization for cancer drugs through large language models.

Journal of biomedical informatics Mar 6, 2026

PURPOSE: Cancer treatments such as chemotherapy, targeted therapy, and immunotherapy can effectively combat malignant cells but frequently cause serious side effects by damaging healthy tissues. This underscores the need for robust Adverse Drug Event... read more

Beyond acoustic features: Incorporating linguistic variables in automatic speech analysis for depression detection.

Journal of affective disorders Mar 6, 2026

BACKGROUND: Most research on automatic speech analysis (ASA) has focused on acoustic features, while the potential of linguistic markers remains underexplored, particularly in clinically diagnosed, non-English-speaking populations. OBJECTIVE: This st... read more

Editorial commentary: Pulsed field versus thermal ablation for atrial fibrillation.

Trends in cardiovascular medicine Mar 6, 2026

Prediction of groundwater total nitrogen via an interpretable ensemble machine learning framework: Implications for groundwater diversion management in complex catchments.

Environmental research Mar 6, 2026

Groundwater total nitrogen (TN) is a key indicator of groundwater ecological security, and accurate prediction and driver identification are essential for targeted nitrogen control and watershed management. To address the limitations of single models... read more

Artificial Intelligence Medical Compendium