Zobrazeno 1 - 10
of 637
pro vyhledávání: '"Ping, Peipei"'
Autor:
Baradwaj, Simha Sankar, Gilliland, Destiny, Rincon, Jack, Hermjakob, Henning, Yan, Yu, Adam, Irsyad, Lemaster, Gwyneth, Wang, Dean, Watson, Karol, Bui, Alex, Wang, Wei, Ping, Peipei
Foundational Models (FMs) are gaining increasing attention in the biomedical AI ecosystem due to their ability to represent and contextualize multimodal biomedical data. These capabilities make FMs a valuable tool for a variety of tasks, including bi
Externí odkaz:
http://arxiv.org/abs/2408.01431
Autor:
Pelletier, Alexander R., Ramirez, Joseph, Adam, Irsyad, Sankar, Simha, Yan, Yu, Wang, Ding, Steinecke, Dylan, Wang, Wei, Ping, Peipei
The vast amount of biomedical information available today presents a significant challenge for investigators seeking to digest, process, and understand these findings effectively. Large Language Models (LLMs) have emerged as powerful tools to navigat
Externí odkaz:
http://arxiv.org/abs/2407.12888
Autor:
Ma, Mingyu Derek, Ye, Chenchen, Yan, Yu, Wang, Xiaoxuan, Ping, Peipei, Chang, Timothy S, Wang, Wei
The integration of Artificial Intelligence (AI), especially Large Language Models (LLMs), into the clinical diagnosis process offers significant potential to improve the efficiency and accessibility of medical care. While LLMs have shown some promise
Externí odkaz:
http://arxiv.org/abs/2406.09923
Autor:
Xiao, Yijia, Steinecke, Dylan, Pelletier, Alexander Russell, Bai, Yushi, Ping, Peipei, Wang, Wei
Knowledge graphs (KGs) have emerged as a powerful framework for representing and integrating complex biomedical information. However, assembling KGs from diverse sources remains a significant challenge in several aspects, including entity alignment,
Externí odkaz:
http://arxiv.org/abs/2310.03221
Autor:
Zhou, Yichao, Ju, Chelsea, Caufield, J. Harry, Shih, Kevin, Chen, Calvin, Sun, Yizhou, Chang, Kai-Wei, Ping, Peipei, Wang, Wei
The clinical named entity recognition (CNER) task seeks to locate and classify clinical terminologies into predefined categories, such as diagnostic procedure, disease disorder, severity, medication, medication dosage, and sign symptom. CNER facilita
Externí odkaz:
http://arxiv.org/abs/2106.12608
Autor:
Zhou, Yichao, Chen, Wei-Ting, Zhang, Bowen, Lee, David, Caufield, J. Harry, Chang, Kai-Wei, Sun, Yizhou, Ping, Peipei, Wang, Wei
Clinical case reports are written descriptions of the unique aspects of a particular clinical case, playing an essential role in sharing clinical experiences about atypical disease phenotypes and new therapies. However, to our knowledge, there has be
Externí odkaz:
http://arxiv.org/abs/2103.00562
Autor:
Zhou, Yichao, Yan, Yu, Han, Rujun, Caufield, J. Harry, Chang, Kai-Wei, Sun, Yizhou, Ping, Peipei, Wang, Wei
There has been a steady need in the medical community to precisely extract the temporal relations between clinical events. In particular, temporal information can facilitate a variety of downstream applications such as case report retrieval and medic
Externí odkaz:
http://arxiv.org/abs/2012.08790
Akademický článek
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Autor:
Ping, Peipei.
Autoregulation is the tendency for blood flow to remain constant despite a change in arterial perfusion pressure. Flow regulation is achieved by adjustment of arteriolar caliber to the pressure change. The responses of arterioles are most commonly ex
Externí odkaz:
http://hdl.handle.net/10150/185318
Autor:
Yan, Yu, Jiang, Jyun-Yu, Fu, Mingzhou, Wang, Ding, Pelletier, Alexander R., Sigdel, Dibakar, Ng, Dominic C.M., Wang, Wei, Ping, Peipei
Publikováno v:
In Cell Reports Methods 27 March 2023 3(3)