AI Medical Compendium

Machine learning-based dynamic CEA trajectory and prognosis in gastric cancer.

BMC cancer Jul 26, 2025

BACKGROUND: Static carcinoembryonic antigen (CEA) levels are well‑established prognostic markers in patients with gastric cancer, but the significance of their dynamic trajectories over time has rarely been reported. read more

Humans Machine Learning Prognosis Female Aged Aged, 80 and over Adult Stomach Neoplasms Biomarkers, Tumor Male Middle Aged Follow-Up Studies Carcinoembryonic Antigen Kaplan-Meier Estimate

Comprehensive Insights into APOBEC Mutations in Thyroid Cancer: Prognostic and Therapeutic Discoveries.

Biological procedures online Jul 26, 2025

BACKGROUND: The APOBEC (apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like) family plays a vital mutagenic role in diverse human malignancies. Nevertheless, the biological characteristics of APOBEC family members and their clinical sign... read more

Spatial Language Likelihood Grounding Network for Bayesian Fusion of Human-Robot Observations

arXiv Jul 26, 2025

Fusing information from human observations can help robots overcome sensing limitations in collaborative tasks. However, an uncertainty-aware fusion framework requires a grounded likelihood representing the uncertainty of human inputs. This paper p... read more

Robotics Computation and Language Information Theory Machine Learning Systems and Control Systems and Control Information Theory

A review on computer-aided diagnostic system to classify the disorders of the gastrointestinal tract.

European journal of medical research Jul 26, 2025

Various diseases, such as colon cancer, gastric cancer, celiac, and bleeding, pose a significant risk to the gastrointestinal (GI) tract, which serves as a fundamental component of the human body. It is less invasive to observe the inner part for dis... read more

Humans Machine Learning Diagnosis, Computer-Assisted Gastrointestinal Tract Gastrointestinal Diseases

A triple pronged approach for ulcerative colitis severity classification using multimodal, meta, and transformer based learning.

Scientific reports Jul 26, 2025

Ulcerative colitis (UC) is a chronic inflammatory disorder necessitating precise severity stratification to facilitate optimal therapeutic interventions. This study harnesses a triple-pronged deep learning methodology-including multimodal inference p... read more

Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson's disease.

NPJ digital medicine Jul 26, 2025

Cognitive impairment is a frequent complication of Parkinson's disease (PD), affecting up to half of newly diagnosed patients. To improve early detection and risk assessment, we developed machine learning models using clinical data from three indepen... read more

A comprehensive review of neural network-based approaches for drug-target interaction prediction.

Molecular diversity Jul 26, 2025

Predicting Drug-Target Interactions (DTI) is vital for accelerating drug discovery and repurposing. This review assesses the efficacy of neural network-based methods, including Convolutional Neural Networks (CNNs), Graph Neural Networks (GNNs), and T... read more

A Wearable Electrochemical Biosensor for Salivary Detection of Periodontal Inflammation Biomarkers: Molecularly Imprinted Polymer Sensor with Deep Learning Integration.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jul 26, 2025

The work presented here introduces a developed electrochemical biosensor for the salivary detection of matrix metalloproteinase-8 (MMP-8), utilizing a molecularly imprinted polymer (MIP) matrix based on poly(o-phenylenediamine). To enhance detection ... read more

Evidential deep learning-based drug-target interaction prediction.

Nature communications Jul 26, 2025

Drug-target interaction (DTI) prediction is a crucial component of drug discovery. Recent deep learning methods show great potential in this field but also encounter substantial challenges. These include generating reliable confidence estimates for p... read more

Drone hyperspectral imaging and artificial intelligence for monitoring moss and lichen in Antarctica.