AI Medical Compendium

Enhanced detection of ovarian cancer using AI-optimized 3D CNNs for PET/CT scan analysis.

Physical and engineering sciences in medicine Aug 4, 2025

This study investigates how deep learning (DL) can enhance ovarian cancer diagnosis and staging using large imaging datasets. Specifically, we compare six conventional convolutional neural network (CNN) architectures-ResNet, DenseNet, GoogLeNet, U-Ne... read more

Frequent longitudinal blood microsampling and proteome monitoring identify disease markers and enable timely intervention in a mouse model of type 1 diabetes.

Diabetologia Aug 4, 2025

AIMS/HYPOTHESIS: Type 1 diabetes manifests after irreversible beta cell damage, highlighting the crucial need for markers of the presymptomatic phase to enable early and effective interventions. Current efforts to identify molecular markers of diseas... read more

Neuromorphic Hebbian learning with magnetic tunnel junction synapses.

Communications engineering Aug 4, 2025

Neuromorphic computing aims to mimic both the function and structure of biological neural networks to provide artificial intelligence with extreme efficiency. Conventional approaches store synaptic weights in non-volatile memory devices with analog r... read more

Integrated multiple machine learning and Mendelian randomization reveal LTF gene as a prognostic biomarker for nonspecific orbital inflammation.

BMC pharmacology & toxicology Aug 4, 2025

BACKGROUND: Nonspecific orbital inflammation (NSOI), also known as idiopathic orbital inflammation, comprises a heterogeneous group of immune-mediated disorders affecting orbital tissues, unified by the absence of a defined etiology. Lactotransferrin... read more

Humans Machine Learning Biomarkers Prognosis Inflammation Databases, Genetic Mendelian Randomization Analysis Lactoferrin Orbital Pseudotumor

In Silico Digital Breast Tomosynthesis Dataset for the Comparative Analysis of Deep Learning Models in Tumor Segmentation.

Journal of imaging informatics in medicine Aug 4, 2025

The scarcity of publicly available digital breast tomosynthesis (DBT) datasets significantly limits the development of robust deep learning (DL) models for breast tumor segmentation. In this exploratory proof-of-concept study, we assess the viability... read more

Identification and validation of ANXA3 and SOCS3 as biomarkers for acute myocardial infarction related to sphingolipid metabolism.

Hereditas Aug 4, 2025

BACKGROUND: Sphingolipid metabolism (SM) is linked to acute myocardial infarction (AMI), but its role remains unclear. This study explored SM-related genes (SMRGs) in AMI to support clinical diagnosis. read more

Humans Neural Networks, Computer Biomarkers Protein Interaction Maps Myocardial Infarction Sphingolipids Suppressor of Cytokine Signaling 3 Protein Annexin A3

Human fall direction recognition in the indoor and outdoor environment using multi self-attention RBnet deep architectures and tree seed optimization.

Scientific reports Aug 4, 2025

Falling poses a significant health risk to the elderly, often resulting in severe injuries if not promptly addressed. As the global population increases, the frequency of falls increases along with the associated financial burden. Hence, early detect... read more

Humans Neural Networks, Computer Algorithms Aged Deep Learning Accidental Falls

Characterizing ssRNA and dsRNA electrophoretic behavior: empirical insights with neural network-aided predictions.

The Analyst Aug 4, 2025

RNA-based therapeutics are currently at the forefront of the biopharmaceutical industry because of their safety, efficacy, and shortened time from disease discovery to therapy development. Microfluidic electrophoresis provides a great analytical plat... read more

Humans Neural Networks, Computer RNA Electrophoresis Microfluidic Analytical Techniques RNA, Double-Stranded

Gated recurrent unit with decay has real-time capability for postoperative ileus surveillance and offers cross-hospital transferability.

Communications medicine Aug 4, 2025

BACKGROUND: Ileus, a postoperative complication after colorectal surgery, increases morbidity, costs, and hospital stays. Assessing risk of ileus is crucial, especially with the trend towards early discharge. Prior studies assessed risk of ileus with... read more

Can Machine Learning Predict Metastatic Sites in Pancreatic Ductal Adenocarcinoma? A Radiomic Analysis.