AI Medical Compendium

Next-generation strategies for PLA degradation: microbial consortia, metagenomics, enzyme engineering and AI-guided approaches.

Archives of microbiology Mar 21, 2026

Polylactic acid (PLA) is one of the most widely used biodegradable bioplastics; however, its slow degradation under natural conditions limits its environmental sustainability. This review summarizes recent advances in microbial and biotechnological s... read more

Deep learning-driven MRI segmentation of choroid plexus volume: a novel biomarker for cognitive impairment in type 2 diabetes mellitus.

Japanese journal of radiology Mar 21, 2026

Public Transcriptomic Data Mining for SCLC: From Candidate Ma rkers to Therapeutic Exploration.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico Mar 21, 2026

BACKGROUND: Lung cancer, especially small-cell lung cancer (SCLC), is a widespread and deadly disease often detected at advanced stages, resulting in low five-year survival rates. This study aims to identify new genetic targets to enhance understandi... read more

Strengthening Pharmacovigilance in Latin America: Multidisciplinary Insights from Two ISoP Latin American Chapter Symposia.

Drug safety Mar 21, 2026

Pharmacovigilance in Latin America has witnessed notable progress in recent years, marked by advancements in regulatory frameworks, regional cooperation, and increased academic involvement. However, heterogeneity among countries, uneven institutional... read more

MRI image segmentation of the major lower leg muscles using deep learning: application in biomechanical analysis.

Medical & biological engineering & computing Mar 21, 2026

Toxicologic Pathology Forum*: Virtual Staining of Nonclinical Study Slides-A Brief Review of the Current Status and Future Opportunities.

Toxicologic pathology Mar 21, 2026

Virtual staining of unstained tissue for histologic assessment is the subject of burgeoning research and has been approached using various methodologies. This technology has the potential to reduce laboratory turnaround time, reduce consumption of ch... read more

Artificial intelligence-based prediction of fetal hypoxia: a multicenter model development and nationwide AI-human comparison.

BMC medicine Mar 21, 2026

BACKGROUND: Fetal hypoxia is a leading cause of neonatal morbidity and mortality. Cardiotocography (CTG) is widely used to predict fetal hypoxia during labor, but its interpretation remains suboptimal. Artificial intelligence (AI) models have been de... read more

An interpretable machine learning model based on habitat radiomics combined with deep learning for predicting the WHO/ISUP grade of patients with clear cell renal cell carcinoma.

BMC medical imaging Mar 21, 2026

A dual-modal machine learning framework integrating red blood indices and smartphone-captured microscopic images for β-thalassemia screening.

BMC medical informatics and decision making Mar 21, 2026

A 13-gene prognostic model developed using machine learning to predict the response to neoadjuvant chemoradiotherapy in rectal carcinoma.

Cancer cell international Mar 21, 2026

Artificial Intelligence Medical Compendium

Next-generation strategies for PLA degradation: microbial consortia, metagenomics, enzyme engineering and AI-guided approaches.

Deep learning-driven MRI segmentation of choroid plexus volume: a novel biomarker for cognitive impairment in type 2 diabetes mellitus.

Public Transcriptomic Data Mining for SCLC: From Candidate Ma rkers to Therapeutic Exploration.

Strengthening Pharmacovigilance in Latin America: Multidisciplinary Insights from Two ISoP Latin American Chapter Symposia.

MRI image segmentation of the major lower leg muscles using deep learning: application in biomechanical analysis.

Toxicologic Pathology Forum*: Virtual Staining of Nonclinical Study Slides-A Brief Review of the Current Status and Future Opportunities.

Artificial intelligence-based prediction of fetal hypoxia: a multicenter model development and nationwide AI-human comparison.

An interpretable machine learning model based on habitat radiomics combined with deep learning for predicting the WHO/ISUP grade of patients with clear cell renal cell carcinoma.

A dual-modal machine learning framework integrating red blood indices and smartphone-captured microscopic images for β-thalassemia screening.

A 13-gene prognostic model developed using machine learning to predict the response to neoadjuvant chemoradiotherapy in rectal carcinoma.

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