AI Medical Compendium

Lipidomic and machine learning analysis reveals enantioselective mechanisms of hexaconazole-induced lipid metabolism disorder in 3T3-L1 preadipocytes.

Archives of toxicology Apr 28, 2026

Integrating high-fidelity hiPSC-cardiomyocytes with AI-driven modeling for enhanced proarrhythmic risk assessment.

Archives of toxicology Apr 28, 2026

Cardiotoxicity remains the leading driver of drug attrition; however, its prediction remains suboptimal when conventional hERG assays and animal models are used. Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) offer a human-rel... read more

Single-cell chromatin accessibility and cis-regulatory element analyses in plants using the scPlantReg platform.

Nature plants Apr 28, 2026

Understanding gene regulation is fundamental to plant improvement. However, the lack of plant-specific single-cell assay for transposase-accessible chromatin using sequencing (scATAC-seq) frameworks and cross-species databases has limited insights in... read more

Response to "Comment on "Artificial intelligence automated measurements of spinopelvic parameters in adult spinal deformity-a systematic review"".

Spine deformity Apr 28, 2026

BrainFusionNet: a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection.

Brain informatics Apr 28, 2026

The noise of Magnetic Resonance Imaging (MRI) poses challenges for Deep Learning (DL) when tumor boundaries are obscured, tumor location and appearance are complex due to overlap between tumor and non-tumor cells, and modality identification is diffi... read more

Hybrid deep learning-based prognostic classification of maxillary canine impaction on panoramic radiographs.

Oral radiology Apr 28, 2026

Computational insights into drug hygroscopicity by coupling machine learning and molecular simulation.

Drug delivery and translational research Apr 28, 2026

Hygroscopicity is one of the critical material attributes (CMAs) of active pharmaceutical ingredients (APIs), and excessive hygroscopicity can adversely affect drug manufacturability, stability, and even therapeutic efficacy. Traditional experimental... read more

A deep learning method for children's self-care problems classification using represent learning and focal loss.

Technology and health care : official journal of the European Society for Engineering and Medicine Apr 28, 2026

BackgroundAn accurate diagnosis of children's self-care problems significantly matters in the growth and development of children. However, various and extensive disorders make the self-care problems classification extremely complex and require much e... read more

A multiobjective AI model for LNP engineering enhances tissue-selective mRNA delivery.

Nature biotechnology Apr 28, 2026

Lipid nanoparticle (LNP) delivery of RNA therapeutics is constrained by poor tissue selectivity and off-target toxicity. Most high-throughput screening approaches have focused on single-target efficacy while overlooking off-target uptake. Here we rep... read more

Machine learning-based prediction of subclinical mastitis in large-scale dairy herds using a locally established somatic cell count threshold.

Scientific reports Apr 28, 2026

Artificial Intelligence Medical Compendium

Lipidomic and machine learning analysis reveals enantioselective mechanisms of hexaconazole-induced lipid metabolism disorder in 3T3-L1 preadipocytes.

Integrating high-fidelity hiPSC-cardiomyocytes with AI-driven modeling for enhanced proarrhythmic risk assessment.

Single-cell chromatin accessibility and cis-regulatory element analyses in plants using the scPlantReg platform.

Response to "Comment on "Artificial intelligence automated measurements of spinopelvic parameters in adult spinal deformity-a systematic review"".

BrainFusionNet: a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection.

Hybrid deep learning-based prognostic classification of maxillary canine impaction on panoramic radiographs.

Computational insights into drug hygroscopicity by coupling machine learning and molecular simulation.

A deep learning method for children's self-care problems classification using represent learning and focal loss.

A multiobjective AI model for LNP engineering enhances tissue-selective mRNA delivery.

Machine learning-based prediction of subclinical mastitis in large-scale dairy herds using a locally established somatic cell count threshold.

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