Results 101 to 110 of about 31,797 (289)

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin, Yutian Feng, Wenrui Ma, Yuxin Su, Li Min, Juan Liu   +5 more
wiley   +1 more source

Tolerability and efficacy profile of S-ketamine compared with racemic ketamine in surgical patients, a prospective observational before-and-after study in the perioperative settingEditor's key points

BJA Open
Background: While the S-enantiomer of Ketamine (S-Ketamine) is described to be more potent than the racemic form (Ra-Ketamine), with a shorter half-life and almost no side effects, both forms have never been compared in real life.
Daniel El Khoury, Amélie Cambriel, Emmanuel Pardo, Aurélie Campeanu, Axel Hirwe, Adrien Bouglé, Dimitri Margetis, Souad Fellous, Thomas Botrel, Alice Jacquens, Vincent Degos, Jean-Michel Constantin, Arthur James, Franck Verdonk   +13 more
doaj   +1 more source

Factorization Machine with Iterative Quantum Reverse Annealing: A Python Package for Batch Black‐Box Optimization With Reverse Quantum Annealing

Advanced Intelligent Discovery, EarlyView.
Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley   +1 more source

Rethinking Visual Attention for Reducing Hallucination in Large Vision–Language Models

Applied Sciences
Large Vision–Language Models (LVLMs) have achieved strong performance in multimodal understanding and generation. However, they remain prone to hallucination, where generated content deviates from the visual input, reducing output reliability. We analyze
Xuewen Li, Yuan Liu
doaj   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Auditory and visual hallucinations in an adolescent following orthotopic liver transplantation

Sri Lanka Journal of Psychiatry
No abstract ...
M. Chandradasa, M. Abeyrathne, P. Sithara, K. Kodithuwakku, M. Fernando   +4 more
doaj   +1 more source

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source

Céline Frigau Manning. Ce que la musique fait à l’hypnose- Une relation spectaculaire au XIXe siècle

Miranda: Revue Pluridisciplinaire du Monde Anglophone, 2023
Raphaëlle Costa de Beauregard
doaj   +1 more source

Structural alteration of neurons in schizophrenia and its relation with auditory hallucination

European Psychiatry
Background Volumetric changes in the superior temporal gyrus and anterior cingulate cortex have been repeatedly reported in studies on schizophrenia.
Ryuta Mizutani, Rino Saiga, Yoshiro Yamamoto, Chie Inomoto, Hiroshi Kajiwara, Yu Kakimoto, Masahiro Yasutake, Masayuki Uesugi, Akihisa Takeuchi, Kentaro Uesugi, Yasuko Terada, Yoshio Suzuki, Viktor Nikitin, Francesco De Carlo, Youta Torii, Itaru Kushima, Norio Ozaki, Shuji Iritani, Makoto Arai, Ken-ichi Oshima, Masanari Itokawa   +20 more
doaj   +1 more source

Current Standards of Monitoring Models in Healthcare Settings

Advanced Intelligent Discovery, EarlyView.
AI/ML‐enabled medical devices are entering clinical practice faster than monitoring standards mature. This review highlights gaps in postmarket surveillance, limited use of predetermined change‐control plans, and the need for ongoing performance tracking, drift detection, explainability, and workflow‐aware governance to support safer, more reliable ...
Alan Kay, Daljit Takher, Wenting Liu, Emily Wittrup, Gilbert S. Omenn, Kayvan Najarian   +5 more
wiley   +1 more source