AIMC Topic: Machine Learning
Clear Filters Showing 181 to 190 of 32510 articles
Serological proteomic characterization for monitoring liver fibrosis regression in chronic hepatitis B patients on treatment.
Nature communications
Aug 19, 2025
Longitudinal serological proteomic dynamics during antiviral therapy (AVT) in chronic hepatitis B (CHB) patients with liver fibrosis remain poorly characterized. Here, using four-dimensional data-independent acquisition mass spectrometry (4D-DIA-MS),...
Analyzing the vulnerabilities in Split Federated Learning: assessing the robustness against data poisoning attacks.
Scientific reports
Aug 19, 2025
Distributed Collaborative Machine Learning (DCML) offers a promising alternative to address privacy concerns in centralized machine learning. Split learning (SL) and Federated Learning (FL) are two effective learning approaches within DCML. Recently,...
Machine learning-based construction of Immunogenic cell death-related score for improving prognosis and personalized treatment in glioma.
Scientific reports
Aug 19, 2025
Immunogenic cell death (ICD) is capable of activating both innate and adaptive immune responses. In this study, we aimed to develop an ICD-related signature in glioma patients and facilitate the assessment of their prognosis and drug sensitivity. Con...
Discovering action insights from large-scale assessment log data using machine learning.
Scientific reports
Aug 19, 2025
This study introduces a novel machine learning algorithm that combines natural language processing techniques, such as Word2Vec and Doc2Vec, with neural networks to identify and validate significant actions within human action sequences. Using the 20...
Predictive modeling of asthma drug properties using machine learning and topological indices in a MATLAB based QSPR study.
Scientific reports
Aug 19, 2025
Machine learning is a vital tool in advancing drug development by accurately predicting the physical, chemical, and biological properties of various compounds. This study utilizes MATLAB program-based algorithms to calculate topological indices and m...
The chronODE framework for modelling multi-omic time series with ordinary differential equations and machine learning.
Nature communications
Aug 19, 2025
Many genome-wide studies capture isolated moments in cell differentiation or organismal development. Conversely, longitudinal studies provide a more direct way to study these kinetic processes. Here, we present an approach for modeling gene-expressio...
Application of machine learning in early childhood development research: a scoping review.
BMJ open
Aug 19, 2025
BACKGROUND: Early childhood development (ECD) lays the foundation for lifelong health, academic success and social well-being, yet over 250 million children in low- and middle-income countries are at risk of not reaching their developmental potential...
Establishing Clinically Distinct Patient Treatment Subgroups Following Anterior Cruciate Ligament Reconstruction: A Machine Learning Clustering Analysis.
The American journal of sports medicine
Aug 15, 2025
BACKGROUND: Treatment decisions in patients with anterior cruciate ligament (ACL) injuries are influenced by multiple factors, such as the desire to return to sports or symptomatic instability. Identifying the differential treatment effect of ACL rec...
Quantum Descriptor-Based Machine-Learning Modeling of Thermal Hazard of Cyclic Sulfamidates.
Journal of chemical information and modeling
Aug 15, 2025
Cyclic sulfamidates are commonly used building blocks in organic synthesis. Correct classification of their thermal criticality is crucial for the safe use of these compounds in process development and scale-up. In this study, building on our earlier...
JointDiffusion: Joint representation learning for generative, predictive, and self-explainable AI in healthcare.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Aug 14, 2025
Joint machine learning models that allow synthesizing and classifying data often offer uneven performance between those tasks or are unstable to train. In this work, we depart from a set of empirical observations that indicate the usefulness of inter...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32510
- Neural Networks, Computer 30481
- Algorithms 27731
- Deep Learning 27277
- Artificial Intelligence 25203
- Robotics 13428
- Image Processing, Computer-Assisted 9883
- Retrospective Studies 9527
- Magnetic Resonance Imaging 6481
- Reproducibility of Results 5744
- Tomography, X-Ray Computed 4956
- Support Vector Machine 4812
- Computational Biology 4392
- Brain 4186
- Computer Simulation 3962
Recent Journals
- Scientific reports 7009
- Sensors (Basel, Switzerland) 4794
- PloS one 4295
- Neural networks : the official journal of the International Neural Network Society 3035
- Computers in biology and medicine 2037
- Computational intelligence and neuroscience 1931
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1395
- IEEE journal of biomedical and health informatics 1191
- Journal of chemical information and modeling 1083
- Nature communications 1070
- Computer methods and programs in biomedicine 895
- Bioinformatics (Oxford, England) 879
- Journal of medical Internet research 878
- IEEE transactions on neural networks and learning systems 859