AIMC Topic: Humans
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MultiSAAl: Sequence-Informed Antibody-Antigen Interaction Prediction Using Multiscale Deep Learning.
Journal of chemical information and modeling
Aug 28, 2025
Antibody-antigen interaction prediction is essential for therapeutic development but remains experimentally costly. The dynamic conformational changes essential to antibody-antigen binding are often missed by structure-based methods relying on static...
Parallel trade-offs in human cognition and neural networks: The dynamic interplay between in-context and in-weight learning.
Proceedings of the National Academy of Sciences of the United States of America
Aug 28, 2025
Human learning embodies a striking duality: Sometimes, we can rapidly infer and compose logical rules, benefiting from structured curricula (e.g., in formal education), while other times, we rely on an incremental approach or trial-and-error, learnin...
Echoes in AI: Quantifying lack of plot diversity in LLM outputs.
Proceedings of the National Academy of Sciences of the United States of America
Aug 28, 2025
With rapid advances in large language models (LLMs), there has been an increasing application of LLMs in creative content ideation and generation. A critical question emerges: can current LLMs provide ideas that are diverse enough to truly bolster co...
Evaluating ChatGPT's Utility in Biologic Therapy for Systemic Lupus Erythematosus: Comparative Study of ChatGPT and Google Web Search.
JMIR formative research
Aug 28, 2025
BACKGROUND: Systemic lupus erythematosus (SLE) is a life-threatening, multisystem autoimmune disease. Biologic therapy is a promising treatment for SLE. However, public understanding of this therapy is still insufficient, and the quality of related i...
Nasopharyngeal cancer adaptive radiotherapy with CBCT-derived synthetic CT: deep learning-based auto-segmentation precision and dose calculation consistency on a C-Arm linac.
Radiation oncology (London, England)
Aug 28, 2025
BACKGROUND: To evaluate the precision of automated segmentation facilitated by deep learning (DL) and dose calculation in adaptive radiotherapy (ART) for nasopharyngeal cancer (NPC), leveraging synthetic CT (sCT) images derived from cone-beam CT (CBC...
Machine learning in predicting preoperative intra-aortic balloon pump use in patients undergoing coronary artery bypass grafting.
Journal of cardiothoracic surgery
Aug 28, 2025
BACKGROUND: Intra-aortic balloon pump (IABP) implantation in the perioperative period of cardiac surgery is an auxiliary treatment for cardiogenic shock. However, there is a lack of effective prediction models for preoperative IABP implantation.
From correlation to causation: unraveling the role of long non-coding RNAs in COVID-19 pathogenesis.
Virology journal
Aug 28, 2025
Heydari et al. present an intriguing study examining the role of three long non-coding RNAs (lncRNAs)-H19, taurine upregulated gene 1 (TUG1), and colorectal neoplasia differentially expressed (CRNDE)-in the context of Coronavirus Disease 2019 (COVID-...
Predicting survival factor following suicide attempt in Iran: an ensemble machine learning technique.
BMC psychiatry
Aug 28, 2025
BACKGROUND: Suicide represents a significant challenge to public health that calls for a suitable intervention from the healthcare sector. Despite the typically low suicide rate among most Muslim nations, research indicates that there is an increase ...
Health-economic evaluation of an AI-powered decision support system for anemia management in in-center hemodialysis patients.
BMC nephrology
Aug 28, 2025
BACKGROUND: The Anemia Control Model (ACM) is a decision support system powered by an artificial intelligence core designed to assist nephrologists in managing anemia therapy for in-center hemodialysis (HD) patients. This study aims to evaluate the c...
Latent variable sequence identification for cognitive models with neural network estimators.
Behavior research methods
Aug 28, 2025
Extracting time-varying latent variables from computational cognitive models plays a key role in uncovering the dynamic cognitive processes that drive behaviors. However, existing methods are limited to inferring latent variable sequences in a relati...
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