Computers Take the Guesswork Out of Antisense Drug Design
A new review maps how computational tools, from RNA folding algorithms to molecular dynamics simulations, are transforming the design of ...
A new review maps how computational tools, from RNA folding algorithms to molecular dynamics simulations, are transforming the design of ...
A machine learning framework combining random forest prediction, neural network defect screening, and evolutionary optimization raised casting qualification rates to ...
A new study shows that machine learning models, particularly Support Vector Machines, predict the shear strength of recycled aggregate concrete ...
A machine learning study of 351 breast cancer patients shows that MRI radiomics features from both the tumor and its ...
Researchers in Pakistan have developed a real-time method that detects machine learning model drift in fog computing healthcare systems without ...
Researchers trained six machine learning models on 2,048 laboratory records and found gradient boosting predicts the compressive strength of cement-free ...
Researchers used machine learning, docking, and molecular dynamics to transform Traditional Chinese Medicine compounds into optimized computational leads against E. ...
A systematic review of 237 studies from 2014 to 2024 maps how explainable AI techniques such as SHAP and LIME ...
Researchers have built a whole-body computational model that simulates how vaccination site, timing, and tumor-derived suppression shape anti-cancer immune responses, ...
A new survey in Cluster Computing examines how deep reinforcement learning can manage mobility and preserve quality of service for ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine