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 +4 more
wiley +1 more source
Machine learning framework for cost effective deep mutational scanning through targeted substitution profiling. [PDF]
BMC BioinformaticsMorgan E +6 more
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Low-energy small language models with retrieval-augmented generation can surpass large-model performance in rheumatology. [PDF]
Front Med (Lausanne)Felde S +6 more
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Multi-OCT-SelfNet: integrating self-supervised learning with multi-source data fusion for enhanced multi-class retinal disease classification. [PDF]
Front Syst BiolJannat FE +5 more
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Water soaking in strawberry (Fragaria × ananassa) has a polygenic background and is strongly influenced by environmental factors. [PDF]
BMC Plant BiolSeidler D +4 more
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A Multi-Gradient-Descent-Integrated Physics-Informed Autoencoder for Sensor Fault Detection in Data Center Chillers. [PDF]
Sensors (Basel)Shen X, Li P, Xu C, Xu C.
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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 HealthAlotaibi NM +3 more
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