research Confusion Over Use: Contextualism in Trademark Law
Trademark law should focus on context, not rigid rules, for clearer decisions.
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research Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation
Fine-tuned BERT models are better than LLMs for detecting bias in medical data.
research A comparative study of linear and nonlinear ANNs as classifiers of animal hair fibers
Nonlinear artificial neural networks are better at identifying different types of animal hair than linear ones.
research A discriminant multi-scale histopathology descriptor using dictionary learning
The new image descriptor helps identify skin cancer structures with good accuracy.
research The Telephone Translation Game: An Illustration of Translation Challenges
Translation can lead to misunderstandings in clinical research.
research Current awareness on comparative and functional genomics
research DEEP REINFORCEMENT LEARNING FOR SCALABLE CONTROL OF BOOLEAN MODELS IN THE CONTEXT OF CELLULAR REPROGRAMMING
pbn-STAC effectively finds strategies for cellular reprogramming using deep reinforcement learning.
research The Comparator Argument in Trans-Healthcare Ban Cases
Denying transgender minors gender-affirming care, while allowing it for cisgender minors, is sex discrimination.
research Detecting shortcut learning for fair medical AI using shortcut testing
The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.
research Abstract 21: Preoperative Versus Postoperative Language Specialization in Infants with Sagittal Craniosynostosis: An ERP Study
Surgery may help infants with sagittal craniosynostosis develop more typical language processing.