AIMC Topic: Machine Learning
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Task-Specific Activity Cliff Prediction Method Based on Transfer Learning and a Hyper Connection Graph Model.
Journal of chemical information and modeling
Jul 26, 2025
Activity cliffs (ACs) are defined as significant changes in biological activity triggered by minor chemical structural modifications. Accurately predicting ACs is crucial for drug discovery and molecular optimization. Existing approaches often overlo...
Ultrasensitive Detection via Machine Learning-Optimized Bacterial-Imprinted Photoelectrochemical Biosensor with Active/Passive Dual-Mode Validation.
Analytical chemistry
Jul 26, 2025
Currently, the existing detection platforms face persistent challenges in achieving reliable bacterial identification within complex matrices, particularly in food and environmental specimens, where matrix interference effects substantially compromis...
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...
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.
Use of X means and C4.5 algorithms on lateral cephalometric measurements to identify craniofacial patterns.
BMC oral health
Jul 26, 2025
BACKGROUND: Craniofacial phenotyping is essential for individualized orthodontic diagnosis and treatment planning. Traditional skeletal classifications, such as the ANB angle, may oversimplify complex relationships among malocclusion types. Machine l...
Machine learning combine with nomogram to guide the establishment of endoscopic assistant system for gasless transaxillary endoscopic thyroidectomy.
Annals of medicine
Jul 25, 2025
OBJECTIVE: To explore the influence related factors of endoscopic assistant in gasless transaxillary endoscopic thyroidectomy by using machine learning and nomogram, and construct an endoscopic assistant system.
An automated machine learning-based framework for predicting groundwater quality with sensor data.
Journal of environmental management
Jul 25, 2025
Groundwater quality monitoring stands as a critical aspect of groundwater management, necessitating real-time and accurate measurement technologies. In this study, we introduce an automated framework for predicting NH-N in groundwater using multipara...
Predicting the Sorption Capacity of Perfluoroalkyl and Polyfluoroalkyl Substances in Soils: Meta-Analysis and Machine Learning Modeling.
Environmental science & technology
Jul 25, 2025
Predicting the soil sorption capacity for perfluoroalkyl and polyfluoroalkyl substances (PFAS) is pivotal for environmental risk assessment. However, traditional experimental methods are inefficient, necessitating computational model development. We ...
Augmenting MACCS Keys with Persistent Homology Fingerprints for Protein-Ligand Binding Classification.
Journal of chemical information and modeling
Jul 25, 2025
Machine learning has become an essential tool in computational drug design, enabling models to uncover patterns in molecular data and predict protein-ligand interactions. This study introduces a novel approach by integrating persistence images with M...
Data-Driven Sustainable Campaigns to Decipher Invasive Breast Cancer Features.
ACS biomaterials science & engineering
Jul 25, 2025
The intrinsic complexity of biological processes often hides the role of dynamic microenvironmental cues in the development of pathological states. Microphysiological systems (MPSs) are emerging technological platforms that model dynamics of tissue-...
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