Results 91 to 100 of about 515,234 (309)

Can large language models understand molecules?

BMC Bioinformatics
Purpose Large Language Models (LLMs) like Generative Pre-trained Transformer (GPT) from OpenAI and LLaMA (Large Language Model Meta AI) from Meta AI are increasingly recognized for their potential in the field of cheminformatics, particularly in ...
Shaghayegh Sadeghi, Alan Bui, Ali Forooghi, Jianguo Lu, Alioune Ngom   +4 more
doaj   +1 more source

Development of human monoclonal antibodies against TARM1 by yeast display

FEBS Open Bio, EarlyView.
Human monoclonal antibodies against TARM1 are generated by yeast display‐guided selection. These antibodies bind to soluble and cell‐surface forms of TARM1. Also, these antibodies exhibit agonistic activity in the NFAT‐GFP reporter assay, indicating that TARM1 signaling can be functionally modulated by antibodies and suggesting TARM1 as a potential ...
Rikio Yabe, Mayumi Saeki, Masaaki Hashiguchi, Sayaka Ono, Kazuhisa Aoki, Hidetaka Tanno   +5 more
wiley   +1 more source

Enhancing Review-based Recommender Systems with Attention-driven Models Leveraging Large Language Model's Embeddings [PDF]

, 2023
LAUREA MAGISTRALEQuesta tesi ha lo scopo di riempire un'attuale lacuna nel mondo dei recommender systems. Esistono infatti numerose tecniche che sfruttano le recensioni lasciate da utenti a prodotti come informazione aggiuntiva per arricchire le ...
Marragony, Salvatore
core  

Proteasomal degradation of intracellularly expressed Amblyomin‐X limits suicide gene therapy potential in melanoma cells

FEBS Open Bio, EarlyView.
This study explores the feasibility of expressing the antitumoral protein Amblyomin‐X through a suicide gene therapy approach and investigates its intracellular fate after gene delivery. Although the gene is efficiently expressed, melanoma cells rapidly degrade the Amblyomin‐X protein via proteasome activity.
Victor Dal Posolo Cinel, Carlos DeOcesano Pereira, Aline Ramos Maia Lobba, Melissa Regina Fessel, Ana Marisa Chudzinski‐Tavassi   +4 more
wiley   +1 more source

Modeling meets Large Language Models

Modeling business processes is often challenging due to its complexity and potential for errors. One key issue arises when process experts and modelers are different individuals, which can lead to communication gaps and result in low-quality business process models.
Martin Forell, Selina Schüler
openaire   +2 more sources

Large Language Models in Healthcare

CoRR
Large language models (LLMs) hold promise for transforming healthcare, from streamlining administrative and clinical workflows to enriching patient engagement and advancing clinical decision-making. However, their successful integration requires rigorous development, adaptation, and evaluation strategies tailored to clinical needs.
Mohammed Ali Al-Garadi, Tushar Mungle, Abdulaziz Ahmed, Abeed Sarker, Zhuqi Miao, Michael E. Matheny   +5 more
openaire   +2 more sources

Large Language Models and Male Circumcision: A Reliability Assessment [PDF]

Aim: Male circumcision remains routine in some countries for neonatal or religious reasons; however, it continues to be the subject of ongoing debate concerning its health benefits, potential risks, and implications for bodily autonomy.
Ibrahim Hacibey, Ismail Ulus, Gokhan Ceker   +2 more
core   +1 more source

Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system

FEBS Open Bio, EarlyView.
An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková, Veronika Hovanová, Jiri Damborsky, Erik Sedlák   +3 more
wiley   +1 more source

Large Language Models for Manufacturing

CoRR
The rapid advances in Large Language Models (LLMs) have the potential to transform manufacturing industry, offering new opportunities to optimize processes, improve efficiency, and drive innovation. This paper provides a comprehensive exploration of the integration of LLMs into the manufacturing domain, focusing on their potential to automate and ...
Yiwei Li 0002, Huaqin Zhao, Hanqi Jiang, Yi Pan 0001, Zhengliang Liu, Zihao Wu 0001, Peng Shu, Jie Tian, Tianze Yang, Shaochen Xu, Yanjun Lyu, Parker Blenk, Jacob Pence, Jason Rupram, Eliza Banu, Ninghao Liu 0001, Linbing Wang, Wen-Zhan Song 0001, Xiaoming Zhai, Kenan Song, Dajiang Zhu, Beiwen Li, Xianqiao Wang, Tianming Liu 0001   +23 more
openaire   +2 more sources

Fine-tuning Large Language Models for Chemical Text Mining

Extracting knowledge from complex and diverse chemical texts is a pivotal task for both experimental and computational chemists. The task is still considered to be extremely challenging due to the complexity of the chemical language and scientific ...
Yitian, Wang, Duanhua, Cao, Runze, Zhang, Qinggong, Wang, Buying, Niu, Mingan, Chen, Ziming, Huang, Lehan, Zhang, Xutong, Li, Qian, Shi, Shengkun, Ni, Zunyun, Fu, Jiacheng, Xiong, Mingyue, Zheng, Zhaoping, Xiong, Xiangtai, Kong, Wei, Zhang   +16 more
core   +1 more source