AI Medical Compendium

Predicting heavy metal impacts on soil ammonia oxidation during sludge land application: An interpretable framework integrating mechanistic models and machine learning.

Journal of environmental management May 7, 2026

Heavy metal (HM)-induced ecological risks hinder the sustainable land application of treated municipal sludge, particularly impacting sensitive biogeochemical processes such as ammonia oxidation. Reliably predicting the long-term effects of HMs on am... read more

Factors predicting MRI glioma segmentation accuracy in deep learning models: a systematic review and meta-analysis.

Journal of neuroradiology = Journal de neuroradiologie May 7, 2026

BACKGROUND: Accurate segmentation is central for the diagnosis and treatment of gliomas. Although manual segmentation remains the clinical standard, it is time-consuming and subject to inter-operator variability. In recent years, deep learning (DL) m... read more

Human organoids: Fit for drug discovery?

Stem cell reports May 7, 2026

Organoids are self-organizing three-dimensional (3D) in vitro tissues derived from pluripotent stem cells (PSCs) that recapitulate key structural and functional features of human organs. Their multicellular architecture and physiological relevance ma... read more

Prospective validation and real-time implementation of an automated machine learning postoperative mortality prediction model. Comment on Br J Anaesth 2026.

British journal of anaesthesia May 7, 2026

Prostate Cancer Detection on Micro-Ultrasound Raw Data Using a Deep Learning Neural Network.

Ultrasound in medicine & biology May 7, 2026

BACKGROUND: Micro-ultrasound (micro-US) is a clinically available novel high-resolution imaging technology for guiding prostate biopsies. However, clinical image interpretation during live biopsies remains a challenge. PURPOSE: To develop a convoluti... read more

Quantum-resistant hybrid encryption framework for secure and intelligent Vehicle-to-Vehicle communication using deep representation learning models.

Scientific reports May 7, 2026

Vehicular communications are applied in different security and business applications in the digital world for the user's advantage. During this, vehicle-to-vehicle (V2V) communication allows clients to exchange necessary information with neighbouring... read more

Divergent neuropsychiatric and systemic toxicity profiles of abemaciclib and palbociclib: a triangulation study integrating pharmacovigilance, genetic epidemiology, and multi-omics profiling.

Naunyn-Schmiedeberg's archives of pharmacology May 7, 2026

Cyclin-dependent kinase 4/6 inhibitors improve outcomes in hormone receptor-positive, human epidermal growth factor receptor 2-negative advanced breast cancer, but their toxicity profiles may differ in clinically meaningful ways. We aimed to compare ... read more

Advanced machine learning model for Cobb angle progression in adolescent idiopathic scoliosis with surface topography: a multicenter, prospective, observational study.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society May 7, 2026

INTRODUCTION: Excessive radiographic exposure in the follow-up of adolescent idiopathic scoliosis (AIS) remains a clinical concern. Surface topography (ST) and angle of trunk rotation (ATR) have shown promise for non-radiographic monitoring, although... read more

The sleeping kidney: microRNA expression profiling of kidney tissue during daily torpor in mice.

Functional & integrative genomics May 7, 2026

MicroRNA (miRNA), a class of short non-coding RNA, serves as a metabolically cheap and fast acting mechanism to inhibit translation of complementary mRNA. These molecules play a central role in regulating metabolic changes during torpor in small mamm... read more

Machine learning enhanced optical spectroscopy for breast cancer diagnosis: A review.

Lasers in medical science May 7, 2026

This literature review examines the transformative role of machine learning (ML) and deep learning (DL) in enhancing optical spectroscopy for breast cancer diagnosis. By synthesizing advancements from peer-reviewed studies (2015-2025), we evaluate ho... read more

Artificial Intelligence Medical Compendium