Results 261 to 270 of about 201,162 (313)

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

Recognition and linking of discontinuous named entities in healthcare: a comparative performance analysis. [PDF]

Front Digit Health
Alhassan A, Schlegel V, Cabral RC, Batista-Navarro R, Han SC, Poon J, Nenadic G.   +6 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Machine learning framework for cost effective deep mutational scanning through targeted substitution profiling. [PDF]

BMC Bioinformatics
Morgan E, Govender S, Singh P, Goodfellow I, Graham SC, Bishop NT, Bishop ÖT.   +6 more
europepmc   +1 more source

Low-energy small language models with retrieval-augmented generation can surpass large-model performance in rheumatology. [PDF]

Front Med (Lausanne)
Felde S, Buchkremer R, Chehab G, Thielscher C, Distler JHW, Schneider M, Richter JG.   +6 more
europepmc   +1 more source

Multi-OCT-SelfNet: integrating self-supervised learning with multi-source data fusion for enhanced multi-class retinal disease classification. [PDF]

Front Syst Biol
Jannat FE, Gholami S, Lim JI, Leng T, Alam MN, Tabkhi H.   +5 more
europepmc   +1 more source

Water soaking in strawberry (Fragaria × ananassa) has a polygenic background and is strongly influenced by environmental factors. [PDF]

BMC Plant Biol
Seidler D, Knoche M, Olbricht K, Flachowsky H, Emeriewen OF.   +4 more
europepmc   +1 more source

Single-model deep learning approach for simultaneous cervical vertebral maturation staging and skeletal jaw relationship on lateral cephalograms using YOLOv8 and CNN. [PDF]

BMC Oral Health
Alotaibi NM, Kamel AM, Khalil AT, Hammad SM.   +3 more
europepmc   +1 more source