Results 141 to 150 of about 51,190 (253)

Robustness of a Large Language Model (LLM)-Based Virtual Patient for Japanese History-Taking Training Under Direct and Indirect Instructional Contamination. [PDF]

Cureus
Harada Y.
europepmc   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

Anaphylaxis events in the PIONEER study of avapritinib in indolent systemic mastocytosis. [PDF]

World Allergy Organ J
Pongdee T, Castells M, Akin C, Dybedal I, Gotlib J, Panse JP, Alvarez-Twose I, Cabeza CM, Cerquozzi S, Vadas P, Swarup V, Vachhani P, Wortmann F, Yi CA, Bidollari I, Newberry K, Shaheen D, Hartmann K.   +17 more
europepmc   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Blueprint Series: Blueprint 101

Kirkpatrick, Christine, Mayer, Lisa, Shabman, Reed, Pokutnaya, Darya, Maull, Keith, Mayernik, Matthew, Hoebelheinrich, Nancy J., Graybeal, John, Fils, Douglas, Erdmann, Christopher   +9 more
openaire   +2 more sources

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

Developing a National eHealth Enterprise Architecture in Botswana: a digital health case study. [PDF]

Oxf Open Digit Health
Masizana A, Mwangi M, Kisanga R, Ndlovu K, Mosesane B, Moghadassi M, Weissglas F, Matengu S, Chebani T.   +8 more
europepmc   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Whole transcriptome analysis reveals MammaPrint and BluePrint-associated gene expression patterns with early lymph node metastasis in early-stage breast cancer. [PDF]

Breast Cancer Res Treat
Fa'ak F, Haan J, Chmielewski-Stivers N, Menicucci A, Audeh W, Soe PP, Logman Z, Ahn S, D'Abreo N, Baum J, Marks DK, FLEX Investigators’ Group.   +11 more
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source