AI Medical Compendium

The Wnt receptor Frizzled3 (FZD3) drives aggressive phenotypes in small cell lung cancer.

Respiratory research Mar 21, 2026

BACKGROUND: Small cell lung cancer (SCLC) is an aggressive neuroendocrine malignancy characterized by rapid progression and poor prognosis. This study integrates bioinformatics with experimental validation to characterize the role of Frizzled-3 (FZD3... read more

Evaluating Deep Learning Based Structure Prediction Methods on Antibody-Antigen Complexes.

Bioinformatics (Oxford, England) Mar 21, 2026

MOTIVATION: AlphaFold2 significantly improved the prediction of protein complex structures. However, its accuracy is lower for interactions without coevolutionary signals, such as host-pathogen and antibody-antigen interactions. Two strategies have b... read more

Teriparatide reduces spinal neuroinflammatory phenotypes in ovariectomized rats revealed by an artificial intelligence-driven glial cell morphometry of bright-field tissue sections.

Microscopy (Oxford, England) Mar 21, 2026

Osteoporosis frequently presents with lower back pain, often accompanied by hypersensitivity, even in the absence of vertebral fractures, suggesting the involvement of central neuroinflammatory mechanisms. The activation of spinal glia has been impli... read more

From algorithms to action: Risk stratification for arteriovenous fistula failure in hemodialysis.

The journal of vascular access Mar 21, 2026

BACKGROUND: Arteriovenous fistula (AVF) is the preferred vascular access for hemodialysis, yet primary failure and early dysfunction remain common, thereby prolonging catheter dependence and increasing costs. Traditional prediction models show limite... read more

Listening in: Orthopaedic Oncology Physicians' Perspectives on Implementation of Audio Recording/Artificial Intelligence Assist in Office Visits.

Journal of surgical oncology Mar 21, 2026

INTRODUCTION: With rapid expansion of artificial intelligence (AI) in clinical documentation, responsible implementation of this tool is imperative in preserving the patient-physician relationship. Orthopaedic oncologists were surveyed to assess thei... read more

Unveiling the prognostic and therapeutic landscape of the zinc transporter protein SLC39A family in colorectal cancer through multi-omics and machine learning approaches.

Clinical and experimental medicine Mar 21, 2026

Colorectal cancer (CRC) remains a significant global health challenge due to its high prevalence and mortality rates. Zinc transporter proteins of the SLC39A family are crucial mediators of metal ion transport and have been implicated in numerous dis... read more

Brain regions beyond the visual cortex are relevant to subjective time prediction from fMRI salient events in a visual naturalistic context.

Brain imaging and behavior Mar 21, 2026

LLM-powered prostate cancer staging from PSMA-PET/CT reports using PROMISE v2.

European journal of nuclear medicine and molecular imaging Mar 21, 2026

Accurate staging of prostate cancer is essential for guiding therapy and predicting outcomes. Prostate-specific membrane antigen (PSMA) PET/CT has become an established modality for disease assessment, and the PROMISE v2 framework provides standardiz... read more

The "fat heat-up" phenotype: adipose tissue hypermetabolism on 18 F-FDG PET/CT predicts frailty in older patients with solid tumours.

European journal of nuclear medicine and molecular imaging Mar 21, 2026

Convolutional neural networks in paediatric fracture detection: pooled evidence from a systematic review and meta-analysis.

European radiology Mar 21, 2026

OBJECTIVE: The objective of this review was to systematically evaluate the diagnostic accuracy of artificial intelligence (AI) models for detecting paediatric appendicular fractures on plain radiographs. MATERIALS AND METHODS: This review followed th... read more

Artificial Intelligence Medical Compendium