Results 141 to 150 of about 141,350 (263)

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

Upsampling DINOv2 Features for Unsupervised Vision Tasks and Weakly Supervised Materials Segmentation

Advanced Intelligent Systems, EarlyView.
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty, Antonis Vamvakeros, Samuel J. Cooper   +2 more
wiley   +1 more source

GPT intern [PDF]

Zeitschrift für Phytotherapie, 2017
openaire   +1 more source

ResearchConnect: An AI‐Powered Platform for Interdisciplinary Research Team Formation and Ideation Development

Advanced Intelligent Systems, EarlyView.
ResearchConnect is an AI‐powered platform that automates researcher profiling, interdisciplinary team formation, and early‐stage research ideation. By extracting keywords from papers and web sources, it quickly clusters researchers into coherent teams and generates collaborative ideas using large language models. Validation on NSF‐funded projects shows
Akshay Vilas Jadhav, Milad Masrouri, Zhao Qin   +2 more
wiley   +1 more source

GPT-agents based on medical guidelines can improve the responsiveness and explainability of outcomes for traumatic brain injury rehabilitation

Scientific Reports
This study explored the application of generative pre-trained transformer (GPT) agents based on medical guidelines using large language model (LLM) technology for traumatic brain injury (TBI) rehabilitation-related questions.
Li Zhenzhu, Zhang Jingfeng, Zhou Wei, Zheng Jianjun, Xia Yinshui   +4 more
doaj   +1 more source

Mapping quantitative trait loci underlying body weight changes that act at different times during high‐fat diet challenge in collaborative cross mice

Animal Models and Experimental Medicine, EarlyView.
Over one billion people worldwide suffer from obesity, and the number is continually rising. Animal models, especially mouse models, are crucial to identifying the genetic components of complex disorders and exploring the potential applications of these genetic findings.
Hanifa J. Abu‐Toamih Atamni, Iqbal M. Lone, Ilona Binenbaum, Kareem Midlej, Eleftherios Pilalis, Richard Mott, Aristotelis Chatziioannou, Fuad A. Iraqi   +7 more
wiley   +1 more source

GPT intern [PDF]

Zeitschrift für Phytotherapie, 2016
openaire   +3 more sources

GPT [PDF]

, 2019
openaire   +1 more source

Legal Decision Biases in GPT: A Comparison with Human Judgment. [PDF]

Behav Sci (Basel)
Bessis TF, Wills AJ, Wojciechowski BW, White LC, Pothos EM.   +4 more
europepmc   +1 more source

GPT Gene [PDF]

, 2020
openaire   +1 more source