AI Medical Compendium

Improving severity grading of chemotherapy-induced myelosuppression in AML via data-driven and model-based deep learning.

NPJ systems biology and applications Mar 24, 2026

Chemotherapy-induced myelosuppression in acute myeloid leukemia (AML) frequently leads to life-threatening complications, yet current assessment standards lack the specificity required for personalized risk prediction. We present MM-AI-AML, a two-sta... read more

2D Multimodal Image Collection for Fluorescence Prediction from Transmitted Light Microscopy.

Scientific data Mar 24, 2026

We present the Light My Cells Database, a large-scale open-access collection comprising 2,574 acquisition sets and 56,984 microscopy 2D images designed to support the development of machine learning models for fluorescence prediction from transmitted... read more

BODIES: BOdy shape parameter and 3D meshes of Individuals basEd on SUPR.

Scientific data Mar 24, 2026

Today, an increasing number of applications in domains such as cultural heritage, healthcare, education, entertainment, and fashion require high-fidelity 3D avatars. However, generating avatars that faithfully reproduce users' bodies through modeling... read more

Machine learning-based predictive models and subtypes patterns in peripheral blood of schizophrenia based on a machine learning computational framework.

Schizophrenia (Heidelberg, Germany) Mar 24, 2026

Schizophrenia (SCZ) is a complex psychiatric disorder, and its pathogenic mechanisms are not yet fully understood. The identification of reliable blood biomarkers and molecular subtypes for early diagnosis and effective therapy remains a significant ... read more

EXPRESS: Identification of Acetylation-Related Molecular Signatures in Knee Osteoarthritis Patients with Significant Response to Warm-Needle Acupuncture Using Machine-Learning Approaches.

Molecular pain Mar 24, 2026

OBJECTIVE: This study aims to delineate remodeling effects of acetylation-related gene expression in knee osteoarthritis (KOA) patients markedly responsive to warm-needle acupuncture (WNA) and identify key genes and immunoregulatory mechanisms. METHO... read more

Prediction of depressive episodes based on clinical features, cognitive characteristics, inflammation-related proteins, and EEG data.

Translational psychiatry Mar 24, 2026

The absence of clinically validated biomarkers and objective diagnostic protocols hinders the accurate and effective diagnosis of depression. Although machine learning has been increasingly explored in psychiatric diagnosis, there remains a pressing ... read more

Integrating Artificial Intelligence with Analytical Techniques for Enhanced Microplastics Analysis.

Critical reviews in analytical chemistry Mar 24, 2026

The widespread presence of microplastics (MPs) in environmental matrices poses significant ecological and human health risks due to their persistence and bioaccumulation. Conventional detection methods, including Raman, FTIR, and near-infrared spectr... read more

Biotechnology advances and the parasitology paradigm: From genomes to multi-omics and translation.

Biotechnology advances Mar 24, 2026

Parasitic diseases impose a substantial and often underestimated burden on human and animal health, food security and economic development. Over recent decades, advances in biotechnology have expanded parasitology into a genomics-enabled field. Early... read more

Sparse Autoencoders for Interpretable Medical Image Representation Learning

arXiv Mar 24, 2026

Vision foundation models (FMs) achieve state-of-the-art performance in medical imaging. However, they encode information in abstract latent representations that clinicians cannot interrogate or verify. The goal of this study is to investigate Sparse ... read more

Computer Vision and Pattern Recognition cs.LG

Retinal Disease Classification from Fundus Images using CNN Transfer Learning