Algorithm matches drugs to glioblastoma's diverse cell types, offering hope for individualized therapies

Researchers have developed a new computational approach that uncovers possible drugs for specific cellular targets for ...
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Method developed to identify best treatment combinations for glioblastoma based on unique cellular targets

Researchers have developed a new computational approach that uncovers possible drugs for specific cellular targets for treating glioblastoma, a lethal brain tumor.  This approach enabled them to ...

Humanoid Robotics Emerges as Solution for Not-Well-Defined Real-World Problems

New Analysis Platform Explores Why Household Tasks and Physical Automation Require Embodied Intelligence Beyond Traditional Computer Approaches The next wave of AI is physical AI. AI that understands ...
IEEE

Ensemble Artificial Bee Colony Algorithm and Q-Learning for Multi-Objective Distributed Heterogeneous Flowshop Scheduling Problems with Sequence-Dependent Setup Time

Abstract: As the global economy develops and people's awareness of environmental protection increases, the efficient scheduling of production lines in workshops has received more and more attention.
IEEE

A Sequence Recommendation Algorithm Based on GCN Network and Self-Attention Mechanism

Abstract: Traditional recommendation systems primarily rely on collaborative filtering, which struggles to effectively capture the dynamic changes in user interests. Sequential recommendation ...
AZoLifeSciences on MSN

Base-pair resolution benchmark uncovers structural variation complexity in tomato genomes

Structural variations (SVs), including insertions, deletions, inversions, and substitutions, can profoundly influence gene ...